Digital image processing and analysis: human and computer vision applications with CVIPtools
Gespeichert in:
| Vorheriger Titel: | Umbaugh, Scott, E. Computer imaging |
|---|---|
| 1. Verfasser: | |
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Boca Raton, Fla. [u.a.]
CRC Press
2011
|
| Ausgabe: | 2. ed. |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis Inhaltsverzeichnis |
| Beschreibung: | Literaturangaben |
| Beschreibung: | XXI, 955 S. Ill., graph. Darst. 1 CD-ROM (12 cm) |
| ISBN: | 9781439802052 |
Internformat
MARC
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| 010 | |a 2010017940 | ||
| 020 | |a 9781439802052 |c (alk. paper) hbk : USD 119.95 |9 978-1-439-80205-2 | ||
| 035 | |a (OCoLC)732074372 | ||
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| 100 | 1 | |a Umbaugh, Scott E. |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Digital image processing and analysis |b human and computer vision applications with CVIPtools |c Scott E. Umbaugh |
| 250 | |a 2. ed. | ||
| 264 | 1 | |a Boca Raton, Fla. [u.a.] |b CRC Press |c 2011 | |
| 300 | |a XXI, 955 S. |b Ill., graph. Darst. |e 1 CD-ROM (12 cm) | ||
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| 689 | 0 | |5 DE-604 | |
| 780 | 0 | 0 | |i Vorangegangen ist |a Umbaugh, Scott, E. |t Computer imaging |
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Datensatz im Suchindex
| _version_ | 1804145812603666432 |
|---|---|
| adam_text | Titel: Digital image processing and analysis
Autor: Umbaugh, Scott E
Jahr: 2011
Contents
Preface.............................................................................................................................................xv
Acknowledgments......................................................................................................................xix
Author...........................................................................................................................................xxi
Section I Introduction to Digital Image Processing and Analysis
1. Digital Image Processing and Analysis.............................................................................3
1.1 Overview........................................................................................................................3
1.2 Image Analysis and Computer Vision.......................................................................5
1.3 Image Processing and Human Vision........................................................................8
1.4 Key Points.....................................................................................................................12
Exercises..................................................................................................................................13
References...............................................................................................................................13
Further Reading.....................................................................................................................14
2. Computer Imaging Systems...............................................................................................15
2.1 Imaging Systems Overview......................................................................................15
2.2 Image Formation and Sensing..................................................................................20
2.2.1 Visible Light Imaging....................................................................................21
2.2.2 Imaging outside the Visible Range of the EM Spectrum.........................28
2.2.3 Acoustic Imaging...........................................................................................30
2.2.4 Electron Imaging............................................................................................32
2.2.5 Laser Imaging.................................................................................................33
2.2.6 Computer-Generated Images.......................................................................34
2.3 CVIPtools Software.....................................................................................................34
2.3.1 Main Window.................................................................................................37
2.3.2 Image Viewer..................................................................................................39
2.3.3 Analysis Window...........................................................................................39
2.3.4 Enhancement Window..................................................................................42
2.3.5 Restoration Window......................................................................................42
2.3.6 Compression Window...................................................................................43
2.3.7 Utilities Window............................................................................................44
2.3.8 Help Window.................................................................................................46
2.3.9 Development Tools........................................................................................46
2.4 Image Representation.................................................................................................50
2.4.1 Binary Images.................................................................................................50
2.4.2 Gray-Scale Images..........................................................................................51
2.4.3 Color Images...................................................................................................52
2.4.4 Multispectral Images.....................................................................................61
2.4.5 Digital Image File Formats...........................................................................62
2.5 Kev Points.....................................................................................................................65
vi Contents
Exercises..................................................................................................................................68
Problems.......................................................................................................................68
Programming Exercises..............................................................................................70
Supplementary Exercises......................................................................................................70
Supplementary Problems...........................................................................................70
Supplementary Programming Exercises.................................................................71
References...............................................................................................................................72
Further Reading.....................................................................................................................73
Section II Digital Image Analysis and Computer Vision
3. Introduction to Digital Image Analysis...........................................................................77
3.1 Introduction.................................................................................................................77
3.1.1 Overview.........................................................................................................77
3.1.2 System Model.................................................................................................78
3.2 Preprocessing...............................................................................................................79
3.2.1 Region of Interest Image Geometry............................................................79
3.2.2 Arithmetic and Logic Operations...............................................................85
3.2.3 Spatial Filters..................................................................................................91
3.2.4 Image Quantization.......................................................................................95
3.3 Binary Image Analysis.............................................................................................104
3.3.1 Basic Image Thresholding..........................................................................105
3.3.2 Connectivity and Labeling.........................................................................109
3.3.3 Basic Binary Object Features......................................................................Ill
3.3.4 Binary Object Classification.......................................................................115
3.4 Key Points...................................................................................................................125
Exercises................................................................................................................................129
Problems.....................................................................................................................129
Programming Exercises............................................................................................132
Supplementary Exercises....................................................................................................134
Supplementary Problems.........................................................................................134
Supplementary Programming Exercises...............................................................135
References.............................................................................................................................137
Further Reading...................................................................................................................138
4. Segmentation and Edge/Line Detection........................................................................139
4.1 Introduction and Overview.....................................................................................139
4.2 Edge/Line Detection................................................................................................140
4.2.1 Gradient Operators......................................................................................144
4.2.2 Compass Masks............................................................................................147
4.2.3 Advanced Edge Detectors..........................................................................148
4.2.4 Edges in Color Images.................................................................................159
4.2.5 Edge Detector Performance........................................................................164
4.2.6 Hough Transform........................................................................................176
4.2.6.1 CVIPtools Parameters for the Hough Transform....................185
4.2.7 Corner Detection..........................................................................................185
Contetrts vii
4.3 Segmentation.............................................................................................................188
4.3.1 Region Growing and Shrinking................................................................190
4.3.2 Clustering Techniques................................................................................195
4.3.3 Boundary Detection....................................................................................203
4.3.4 Combined Segmentation Approaches......................................................210
4.3.5 Morphological Filtering..............................................................................211
4.4 Key Points...................................................................................................................236
Exercises................................................................................................................................245
Problems.....................................................................................................................245
Programming Exercises............................................................................................250
Supplementary Exercises....................................................................................................251
Supplementary Problems.........................................................................................251
Supplementary Programming Exercises...............................................................254
References.............................................................................................................................255
Further Reading...................................................................................................................256
Discrete Transforms...........................................................................................................259
5.1 Introduction and Overview.....................................................................................259
5.2 Fourier Transform.....................................................................................................265
5.2.1 One-Dimensional Discrete Fourier Transform.......................................268
5.2.2 Two-Dimensional Discrete Fourier Transform.......................................271
5.2.3 Fourier Transform Properties....................................................................274
5.2.3.1 Linearity........................................................................................274
5.2.3.2 Convolution...................................................................................274
5.2.3.3 Translation.....................................................................................275
5.2.3.4 Modulation....................................................................................275
5.2.3.5 Rotation..........................................................................................275
5.2.3.6 Periodicity.....................................................................................276
5.2.3.7 Sampling and Aliasing................................................................277
5.2.4 Displaying the Discrete Fourier Spectrum..............................................279
5.3 Discrete Cosine Transform......................................................................................282
5.4 Discrete Walsh-Hadamard Transform..................................................................287
5.5 Discrete Haar Transform.........................................................................................292
5.6 Principal Components Transform..........................................................................292
5.7 Filtering......................................................................................................................295
5.7.1 Lowpass Filters.............................................................................................296
5.7.2 Highpass Filters...........................................................................................299
5.7.3 Bandpass and Bandreject Filters................................................................301
5.8 Discrete Wavelet Transform....................................................................................302
5.9 Key Points...................................................................................................................315
Exercises................................................................................................................................322
Problems.....................................................................................................................322
Programming Exercises............................................................................................329
Supplementary Exercises....................................................................................................330
Supplementary Problems.........................................................................................330
Supplementary Programming Exercises...............................................................332
References.............................................................................................................................333
Further Reading...................................................................................................................333
Contents
6. Feature Analysis and Pattern Classification.................................................................335
6.1 Introduction and Overview.....................................................................................335
6.2 Feature Extraction.....................................................................................................336
6.2.1 Shape Features.............................................................................................337
6.2.2 Histogram Features.....................................................................................341
6.2.3 Color Features..............................................................................................347
6.2.4 Spectral Features..........................................................................................347
6.2.5 Texture Features...........................................................................................349
6.2.6 Feature Extraction with CVIPtools...........................................................354
6.3 Feature Analysis........................................................................................................357
6.3.1 Feature Vectors and Feature Spaces..........................................................357
6.3.2 Distance and Similarity Measures............................................................359
6.3.3 Data Preprocessing......................................................................................364
6.4 Pattern Classification................................................................................................368
6.4.1 Algorithm Development: Training and Testing Methods.....................368
6.4.2 Classification Algorithms and Methods...................................................370
6.4.3 Cost/Risk Functions and Success Measures............................................373
6.4.4 Pattern Classification with CVIPtools.......................................................376
6.5 Key Points...................................................................................................................378
Exercises................................................................................................................................387
Problems.....................................................................................................................387
Programming Exercises............................................................................................391
Supplementary Exercises....................................................................................................395
Supplementary Problems.........................................................................................395
Supplementary Programming Exercises...............................................................397
References.............................................................................................................................398
Further Reading...................................................................................................................399
Section HI Digital Image Processing and Human Vision
7. Digital Image Processing and Visual Perception........................................................403
7.1 Introduction and Overview.....................................................................................403
7.2 Human Visual Perception........................................................................................403
7.2.1 Human Visual System.................................................................................404
7.2.2 Spatial Frequency Resolution.....................................................................410
7.2.3 Brightness Adaptation.................................................................................415
7.2.4 Temporal Resolution....................................................................................419
7.2.5 Perception and Illusion...............................................................................421
7.3 Image Fidelity Criteria.............................................................................................421
7.3.1 Objective Fidelity Measures.......................................................................423
7.3.2 Subjective Fidelity Measures......................................................................425
7.4 Key Points...................................................................................................................432
Exercises................................................................................................................................436
Problems.....................................................................................................................436
Programming Exercises............................................................................................439
Supplementary Exercises....................................................................................................439
Supplementary Problems........................................................................................439
Supplementary Programming Exercises...............................................................440
Contents
References.............................................................................................................................441
Further Reading...................................................................................................................442
Image Enhancement...........................................................................................................443
8.1 Introduction and Overview.....................................................................................443
8.2 Gray-Scale Modification...........................................................................................445
8.2.1 Mapping Equations.....................................................................................445
8.2.2 Histogram Modification.............................................................................456
8.2.3 Adaptive Contrast Enhancement..............................................................468
8.2.4 Color...............................................................................................................476
8.3 Image Sharpening....................................................................................................489
8.3.1 Highpass Filtering.......................................................................................490
8.3.2 High Frequency Emphasis.........................................................................490
8.3.3 Directional Difference Filters.....................................................................493
8.3.4 Homomorphic Filtering..............................................................................494
8.3.5 Unsharp Masking........................................................................................497
8.3.6 Edge Detector-Based Sharpening Algorithms.......................................499
8.4 Image Smoothing......................................................................................................503
8.4.1 Frequency Domain Lowpass Filtering.....................................................503
8.4.2 Convolution Mask Lowpass Filtering.......................................................503
8.4.3 Nonlinear Filtering......................................................................................505
8.5 Key Points...................................................................................................................514
Exercises................................................................................................................................521
Problems.....................................................................................................................521
Programming Exercises............................................................................................527
Supplementary Exercises....................................................................................................529
Supplementary Problems.........................................................................................529
Supplementary Programming Exercises...............................................................530
References.............................................................................................................................531
Further Reading...................................................................................................................532
Image Restoration and Reconstruction..........................................................................535
9.1 Introduction and Overview.....................................................................................535
9.1.1 System Model...............................................................................................535
9.2 Noise Models.............................................................................................................537
9.2.1 Noise Histograms........................................................................................537
9.2.2 Periodic Noise...............................................................................................542
9.2.3 Estimation of Noise.....................................................................................543
9.3 Noise Removal Using Spatial Filters......................................................................545
9.3.1 Order Filters..................................................................................................548
9.3.2 Mean Filters..................................................................................................553
9.3.3 Adaptive Filters............................................................................................558
9.4 Degradation Function...............................................................................................569
9.4.1 Spatial Domain: Point Spread Function...................................................569
9.4.2 Frequency Domain: Modulation/Optical
Transfer Function.....................................................................................573
9.4.3 Estimation of the Degradation Function..................................................576
Contents
9.5 Frequency Domain Filters.......................................................................................577
9.5.1 Inverse Filter.................................................................................................578
9.5.2 Wiener Filter.................................................................................................582
9.5.3 Constrained Least Squares Filter...............................................................583
9.5.4 Geometric Mean Filters...............................................................................586
9.5.5 Adaptive Filtering........................................................................................587
9.5.6 Bandpass, Bandreject, and Notch Filters..................................................588
9.5.7 Practical Considerations.............................................................................591
9.6 Geometric Transforms..............................................................................................594
9.6.1 Spatial Transforms.......................................................................................595
9.6.2 Gray-Level Interpolation.............................................................................597
9.6.3 Geometric Restoration Procedure.............................................................599
9.6.4 Geometric Restoration with CVIPtools....................................................601
9.7 Image Reconstruction...............................................................................................603
9.7.1 Reconstruction Using Backprojections.....................................................604
9.7.2 Radon Transform.........................................................................................608
9.7.3 Fourier-Slice Theorem and Direct Fourier Reconstruction...................610
9.8 Key Points...................................................................................................................611
Exercises................................................................................................................................624
Problems.....................................................................................................................624
Programming Exercises............................................................................................629
Supplementary Exercises....................................................................................................631
Supplementary Problems.........................................................................................631
Supplementary Programming Exercises...............................................................633
References.............................................................................................................................633
Further Reading...................................................................................................................635
10. Image Compression............................................................................................................637
10.1 Introduction and Overview.....................................................................................637
10.1.1 Compression System Model.....................................................................641
10.2 Lossless Compression Methods..............................................................................645
10.2.1 Huffman Coding........................................................................................649
10.2.2 Run-Length Coding...................................................................................651
10.2.3 Lempel-Ziv-Welch Coding......................................................................655
10.2.4 Arithmetic Coding.....................................................................................656
10.3 Lossy Compression Methods..................................................................................657
10.3.1 Gray-Level Run-Length Coding..............................................................659
10.3.2 Block Truncation Coding..........................................................................660
10.3.3 Vector Quantization..................................................................................666
10.3.4 Differential Predictive Coding.................................................................670
10.3.5 Model-Based and Fractal Compression..................................................678
10.3.6 Transform Coding.....................................................................................681
10.3.7 Hybrid and Wavelet Methods..................................................................688
10.4 Key Points...................................................................................................................696
Exercises................................................................................................................................702
Problems.....................................................................................................................702
Programming Exercises............................................................................................707
Contents
Supplementary Exercises....................................................................................................708
Supplementary Problems.........................................................................................708
Supplementary Programming Exercises...............................................................709
References.............................................................................................................................710
Further Reading...................................................................................................................711
Section IV Programming and Application Development with
CVIPtools
11. CVIPlab................................................................................................................................715
11.1 Introduction to CVIPlab...........................................................................................715
11.2 Toolkits, Toolboxes, and Application Libraries.....................................................721
11.3 Compiling and Linking CVIPlab............................................................................722
11.3.1 How to Build the CVIPlab Project with Microsoft s
Visual C++* 2008........................................................................................722
11.3.2 Mechanics of Adding a Function with Microsoft s
Visual C++* 2008........................................................................................724
11.3.3 Using CVIPlab in the Programming Exercises with Microsoft s
Visual C++* 2008........................................................................................728
11.3.4 Using Microsoft s Visual C++6 2010........................................................731
11.4 Image Data and File Structures..............................................................................734
11.5 CVIP Projects.............................................................................................................739
11.5.1 Digital Image Analysis and Computer Vision Projects........................739
11.5.2 Digital Image Processing and Human Vision Projects........................741
12. Application Development.................................................................................................743
12.1 Introduction and Overview.....................................................................................743
12.2 CVIP Algorithm Test and Analysis Tool...............................................................744
12.2.1 Overview and Capabilities.......................................................................744
12.2.2 How to Use CVIP-ATAT............................................................................744
12.2.2.1 Running CVIP-ATAT...............................................................744
12.2.2.2 Creating a New Project............................................................744
12.2.2.3 Inserting Images.......................................................................745
12.2.2.4 Inputting an Algorithm...........................................................747
12.2.2.5 Performing an Algorithm Test Run.......................................751
12.2.2.6 Comparing Images...................................................................751
12.2.3 Application Development Example with Fundus Images...................754
12.2.3.1 Introduction and Overview....................................................754
12.2.3.2 New Algorithm.........................................................................755
12.2.3.3 Conclusion.................................................................................760
12.3 CVIP Feature Extraction and Pattern Classification Tool...................................761
12.3.1 Overview and Capabilities.......................................................................761
12.3.2 How to Use CVIP-FEPC............................................................................761
12.3.2.1 Running CVIP-FEPC...............................................................761
12.3.2.2 Creating a New Project...........................................................761
12.3.2.3 Entering Classes in CVIP-FEPC.............................................763
12.3.2.4 Adding Images and Associated Classes...............................763
xii Contents
12.3.2.5 Applying Feature Extraction and Pattern Classification.... 764
12.3.2.6 Running the Test......................................................................766
12.3.2.7 Result File..................................................................................766
12.3.3 Application Development Example with Veterinary
Thermographic Images.............................................................................770
12.3.3.1 Introduction and Overview....................................................770
12.3.3.2 Experiments..............................................................................770
12.3.3.3 Results.......................................................................................775
12.3.3.4 Conclusion.................................................................................775
12.4 Skin Lesion Classification Using Relative Color Features...................................775
12.4.1 Introduction and Project Overview........................................................775
12.4.2 Materials and Methods.............................................................................776
12.4.2.1 Image Database.........................................................................776
12.4.2.2 Creation of Relative Color Images.........................................776
12.4.2.3 Segmentation and Morphological Filtering.........................777
12.4.2.4 Feature Extraction ...................................................................777
12.4.2.5 Lesion and Object Feature Spaces.........................................779
12.4.2.6 Establishing Statistical Models...............................................779
12.4.3 Experiments and Data Analysis..............................................................780
12.4.3.1 Lesion Feature Space................................................................781
12.4.3.2 Object Feature Space................................................................783
12.4.4 Conclusions.................................................................................................785
12.5 Automatic Segmentation of Blood Vessels in Retinal Images............................786
12.5.1 Introduction and Overview.....................................................................786
12.5.2 Materials and Methods.............................................................................787
12.5.3 Results.........................................................................................................792
12.5.4 Postprocessing with Hough Transform and Edge Linking.................794
12.5.5 Conclusion..................................................................................................794
12.6 Classification of Land Types from Satellite Images Using Quadratic
Discriminant Analysis and Multilayer Perceptrons............................................795
12.6.1 Introduction and Overview.....................................................................795
12.6.2 Data Reduction and Feature Extraction................................797
12.6.3 Object Classification..................................................................................799
12.6.4 Results.........................................................................................................800
12.6.5 Conclusion..................................................................................................801
12.6.6 Acknowledgments.....................................................................................803
12.7 Watershed-Based Approach to Skin Lesion Border Segmentation....................803
12.7.1 Introduction................................................................................................803
12.7.2 Materials and Methods ............................................................................803
12.7.3 Experiments, Results, and Conclusions..................................................809
12.8 Faint Line Defect Detection in Microdisplay (CCD) Elements...........................811
12.8.1 Introduction and Project Overview........................................................811
12.8.2 Design Methodology.................................................................................811
12.8.3 Line Detection Algorithm.........................................................................812
12.8.3.1 Preprocessing............................................................................812
12.8.3.2 Edge Detection..........................................................................814
12.8.3.3 Analysis of the Hough Space..................................................816
12.8.4 Results and Discussion.............................................................................819
12.8.5 Summary and Conclusion........................................................................820
Contents
12.9 Melanoma and Seborrheic Keratosis Differentiation Using Texture
Features......................................................................................................................820
12.9.1 Introduction and Overview ....................................................................820
12.9.2 Materials and Methods.............................................................................821
12.9.3 Texture Analysis Experiments.................................................................823
12.9.4 Results and Discussion.............................................................................830
12.9.5 Conclusion..................................................................................................830
12.9.6 Acknowledgments.....................................................................................831
12.10 Compression of Color Skin Tumor Images with Vector Quantization ............831
12.10.1 Introduction and Project Overview........................................................831
12.10.2 Materials and Methods.............................................................................832
12.10.2.1 Compression Schemes............................................................832
12.10.2.2 Subjective Evaluation of the Images......................................833
12.10.3 Compression Schemes...............................................................................834
12.10.3.1 Preprocessing and Transforms..............................................834
12.10.3.2 Vector Quantization................................................................836
12.10.3.3 Postprocessing.........................................................................840
12.10.4 Results and Analysis.................................................................................841
12.10.4.1 Results and Analyses for the Schemes with
Compression Ratio 4:1.............................................................841
12.10.4.2 Results and Analyses for the Schemes with
Compression Ratio 8:1.............................................................842
12.10.4.3 Results and Analyses for the Schemes with
Compression Ratio 14:1...........................................................843
12.10.4.4 Results and Analyses for the Schemes with
Compression Ratio 20:1...........................................................845
12.10.4.5 Comprehensive Analysis of the Four
Compression Ratios.................................................................847
12.10.5 Conclusions and Future Work.................................................................849
12.10.6 Acknowledgments.....................................................................................851
References.............................................................................................................................852
13. CVIPtools Cs Function Libraries....................................................................................855
13.1 Introduction and Overview...................................................................................855
13.2 Arithmetic and Logic Library: ArithLogic.lib.....................................................855
Arithlogic Library Function Prototypes...............................................................855
13.3 Band Image Library: Band.lib...............................................................................856
13.4 Color Image Library: Color.lib...............................................................................856
Color Library Function Prototypes.......................................................................857
13.5 Compression Library: Compression.lib...............................................................857
Compression Library Function Prototypes.........................................................858
13.6 Conversion Library: Conversion.lib......................................................................861
Conversion Library Function Prototypes............................................................861
13.7 Display Library: Display.lib...................................................................................863
13.8 Feature Extraction Library: Feature.lib................................................................864
Feature Library Function Prototypes....................................................................864
13.9 Geometry Library: Geometry.lib...........................................................................867
Geometry Library Function Prototypes...............................................................867
xiv Contents
13.10 Histogram Library: Histogram.lib........................................................................870
Histogram Library Function Prototypes..............................................................870
13.11 Image Library: Image.lib........................................................................................871
13.12 Data Mapping Library: Mapping.lib....................................................................872
13.13 Morphological Library: Morphological.lib..........................................................873
Morphological Library Function Prototypes.......................................................873
13.14 Noise Library: Noise.lib..........................................................................................875
Noise Library Function Prototypes.......................................................................875
13.15 Segmentation Library: Segmentation.lib.............................................................876
Segmentation Library Function Prototypes.........................................................876
13.16 Spatial Filter Library: SpatialFilter.lib .................................................................878
Spatial Filter Library Function Prototypes..........................................................878
13.17 Transform Library: Transform.lib.........................................................................884
Transform Library Function Prototypes...............................................................884
13.18 Transform Filter Library: TransformFilter.lib......................................................885
Transform Filter Library Function Prototypes....................................................885
Section V Appendices
Appendix A: CVIPtools CD....................................................................................................891
Appendix B: Installing and Updating CVIPtools..............................................................893
Appendix C: CVIPtools Software Organization................................................................895
Appendix D: CVIPtools C® Functions...................................................................................897
D.l Toolkit Libraries...........................................................................................897
D.2 Toolbox Libraries.........................................................................................902
Appendix E: Common Object Module (COM) Functions: cviptools.dll........................911
Appendix F: CVIP Resources..................................................................................................923
Index.............................................................................................................................................927
|
| any_adam_object | 1 |
| author | Umbaugh, Scott E. |
| author_facet | Umbaugh, Scott E. |
| author_role | aut |
| author_sort | Umbaugh, Scott E. |
| author_variant | s e u se seu |
| building | Verbundindex |
| bvnumber | BV039102726 |
| classification_tum | DAT 760f |
| ctrlnum | (OCoLC)732074372 (DE-599)GBV626325455 |
| discipline | Informatik |
| edition | 2. ed. |
| format | Book |
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| id | DE-604.BV039102726 |
| illustrated | Illustrated |
| indexdate | 2024-07-09T23:25:24Z |
| institution | BVB |
| isbn | 9781439802052 |
| language | English |
| lccn | 2010017940 |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-022646627 |
| oclc_num | 732074372 |
| open_access_boolean | |
| owner | DE-91 DE-BY-TUM |
| owner_facet | DE-91 DE-BY-TUM |
| physical | XXI, 955 S. Ill., graph. Darst. 1 CD-ROM (12 cm) |
| publishDate | 2011 |
| publishDateSearch | 2011 |
| publishDateSort | 2011 |
| publisher | CRC Press |
| record_format | marc |
| spelling | Umbaugh, Scott E. Verfasser aut Digital image processing and analysis human and computer vision applications with CVIPtools Scott E. Umbaugh 2. ed. Boca Raton, Fla. [u.a.] CRC Press 2011 XXI, 955 S. Ill., graph. Darst. 1 CD-ROM (12 cm) txt rdacontent n rdamedia nc rdacarrier Literaturangaben Maschinelles Sehen (DE-588)4129594-8 gnd rswk-swf Bildverarbeitung (DE-588)4006684-8 gnd rswk-swf CVIPtools Maschinelles Sehen (DE-588)4129594-8 s Bildverarbeitung (DE-588)4006684-8 s DE-604 Vorangegangen ist Umbaugh, Scott, E. Computer imaging http://www.gbv.de/dms/ilmenau/toc/626325455.PDF Inhaltsverzeichnis HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=022646627&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Umbaugh, Scott E. Digital image processing and analysis human and computer vision applications with CVIPtools Maschinelles Sehen (DE-588)4129594-8 gnd Bildverarbeitung (DE-588)4006684-8 gnd |
| subject_GND | (DE-588)4129594-8 (DE-588)4006684-8 |
| title | Digital image processing and analysis human and computer vision applications with CVIPtools |
| title_auth | Digital image processing and analysis human and computer vision applications with CVIPtools |
| title_exact_search | Digital image processing and analysis human and computer vision applications with CVIPtools |
| title_full | Digital image processing and analysis human and computer vision applications with CVIPtools Scott E. Umbaugh |
| title_fullStr | Digital image processing and analysis human and computer vision applications with CVIPtools Scott E. Umbaugh |
| title_full_unstemmed | Digital image processing and analysis human and computer vision applications with CVIPtools Scott E. Umbaugh |
| title_old | Umbaugh, Scott, E. Computer imaging |
| title_short | Digital image processing and analysis |
| title_sort | digital image processing and analysis human and computer vision applications with cviptools |
| title_sub | human and computer vision applications with CVIPtools |
| topic | Maschinelles Sehen (DE-588)4129594-8 gnd Bildverarbeitung (DE-588)4006684-8 gnd |
| topic_facet | Maschinelles Sehen Bildverarbeitung |
| url | http://www.gbv.de/dms/ilmenau/toc/626325455.PDF http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=022646627&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT umbaughscotte digitalimageprocessingandanalysishumanandcomputervisionapplicationswithcviptools |
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Inhaltsverzeichnis