Image processing and analysis: a primer
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
New Jersey
World Scientific
2019
|
| Series: | Primers in electronics and computer science
volume 3 |
| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Physical Description: | yvi,229 Seiten Illustrationen, Diagramme |
| ISBN: | 9781786345813 |
Staff View
MARC
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| 245 | 1 | 0 | |a Image processing and analysis |b a primer |c by Georgy Gimelʹfarb (The University of Auckland, New Zealand), Patrice Delmas (The University of Auckland, New Zealand) |
| 264 | 1 | |a New Jersey |b World Scientific |c 2019 | |
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Record in the Search Index
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| adam_text | Contents Preface v About the Authors xi 1. Continuous and DigitalImages 1.1 1.2 1.3 1.4 2. 1 Images and maps.................................................................. 1.1.1 Resolution, 2D lattice, and pixels ........................ 1.1.2 Pixel neighbourhood and lattice connectivity ... 1.1.3 Greyscale, colour, and multiband signals.... 12 1.1.4 Regions and features ............................................. Global signal statistics......................................................... 1.2.1 Grey-level histogram (GLH) ................................. 1.2.2 Empirical vs. theoretical probabilities.......... 16 1.2.3 Cumulative histogram (CH) and percentiles .... 1.2.4 Global brightness and contrast...................... 19 1.2.5 Grey-level co-occurrence histograms (GLCH) ... Mapping local features........................................................ 1.3.1 Pixel-wise signal statistics............................... 22 1.3.2 Local binary patterns (LBP)......................... 24 Questions and exercises ..................................................... 3 8 10 13 13 14 17 20 22 25 Transforming Appearance 27 2.1 29 Global linear transformation................................................. 2.1.1 Linear mapping.............................................. 29 2.1.2 Inverse linear mapping .......................................... 2.1.3 Bias and gain adjustment............................... 31 2.1.4 Negation.......................................................... 33 xiii 30
xiv Image Processing and Analysis: A Primer 2.2 2.3 2.4 3. 45 3.1 3.2 3.3 46 48 50 55 56 60 62 63 67 72 3.5 Modelling image noise......................................................... Moving window transform(MWT)..................................... Linear filtering..................................................................... 3.3.1 Mean filter............................................................... 3.3.2 Fast box filtering...................................................... 3.3.3 Gaussian filter......................................................... Nonlinear filtering ............................................................... 3.4.1 Median filter............................................................ 3.4.2 Rank filtering ......................................................... Questions and exercises ...................................................... Filtering to Segment 73 4.1 4.2 4.3 74 76 77 77 79 80 82 83 86 87 90 97 4.4 4.5 4.6 5. 34 35 36 37 44 Filtering to Denoise or Enhance 3.4 4. Linear normalisation............................................................ 2.2.1 Min-max normalisation.......................................... 2.2.2 a — /З-percentile normalisation.............................. Histogram equalisation......................................................... Questions and exercises ...................................................... Measuring segmentationaccuracy........................................ Modelling image regions...................................................... Histogram
thresholding......................................................... 4.3.1 Adaptive object-background thresholding............ 4.3.2 Gaussian mixture model ....................................... 4.3.3 Unimodal thresholding.......................................... Colour segmentation............................................................ 4.4.1 RGB-HSI colour representations........................... 4.4.2 Colour thresholding................................................ 4.4.3 Multi-region segmentation .................................... Labelling connected regions................................................ Questions and exercises ...................................................... Morphological Filtering 5.1 Binary morphology............................................................... 5.1.1 Structuring element................................................ 5.1.2 Erosion..................................................................... 5.1.3 Dilation..................................................................... 5.1.4 Opening .................................................................. 99 100 100 102 104 105
Contents 5.2 5.3 6. 117 6.1 118 118 122 125 127 127 128 129 130 6.3 Evolving an AC....................................................................... 6.1.1 Parametric ACs........................................................ 6.1.2 Geometric (level-set) ACs........................................ Active shape models.............................................................. 6.2.1 Derivation of the PDM........................................... 6.2.2 Registration of training images............................... 6.2.3 Using PCA to determine a PDM............................ 6.2.4 Matching an ASM to an unseen image................... Questions and exercises ........................................................ Filtering to Find Points-of-Interest 7.1 7.2 7.3 7.4 8. 106 108 110 112 113 114 115 116 Deforming Boundaries to Segment 6.2 7. 5.1.5 Closing....................................................................... 5.1.6 Hit-and-miss transform........................................... Greyscale morphology........................................................... 5.2.1 Erosion....................................................................... 5.2.2 Dilation....................................................................... 5.2.3 Opening and closing.................................................. 5.2.4 Top-hat and dual top-hat transforms ................... Questions and exercises ........................................................ XV 131 Differential image properties:Gradients and Hessians . . . 132 7.1.1 Gradients and Hessians in a digital
image............. 138 7.1.2 DoG, DoOG, and LoG ........................................... 141 7.1.3 Inverse USAN areas.................................................. 144 Edge detection....................................................................... 146 7.2.1 Thresholding gradients........................................... 148 7.2.2 Canny edge detector................................................. 149 Detecting POIs....................................................................... 150 7.3.1 Rotation-invariant POIs........................................... 151 7.3.2 Scale-rotation invariance: SIFT and SURF .... 154 Questions and exercises ........................................................ 163 Transforming Image Plane 165 8.1 8.2 167 169 169 170 Signal interpolation for restoring continuous images .... Basic geometric transformations........................................... 8.2.1 Forward and backward coordinate mapping .... 8.2.2 Affine transformations...............................................
xvi Image Processing and Analysis: A Primer 8.3 9. 8.2.3 Polynomial warping.................................................. Questions and exercises ........................................................ Spectra and Spectral Filtering 9.1 9.2 9.3 9.4 9.5 9.6 Further Reading More diverse sources.............................................................. Bibliographical and historical notes..................................... Appendix В B.l B.2 B.3 177 ID complex exponentials........................................................ 178 2D/3D exponentials .............................................................. 182 Discrete Fourier transform (DFT)........................................ 183 9.3.1 Amplitude, phase, and power spectra................... 183 9.3.2 Some properties of the DFT.................................. 185 9.3.3 Discrete cosine transform (DCT)............................ 188 9.3.4 Fast Fourier transform (FFT) ............................... 191 Wavelets and wavelet decompositions.................................. 192 9.4.1 Multi-resolution analysis (MRA)............................ 193 9.4.2 Haar wavelets ........................................................... 194 9.4.3 Smooth wavelets........................................................ 197 Filtering in the spectral domain........................ 199 9.5.1 Convolution in the spectral domain...................... 200 9.5.2 Low-, high-, and band-pass spectral filtering . . . 201 9.5.3 Inverse and Wiener filters........................................ 203 9.5.4 Homomorphic and cepstral
filters ............................. 205 Questions and exercises ........................................................ 207 Appendix A A.l A.2 175 176 Symbols and Math Notation Latin symbols.......................................................................... Greek symbols ....................................................................... Math notation.......................................................................... Appendix C Abbreviations 209 209 210 213 213 215 216 219 Bibliography 223 Index 227
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| discipline | Informatik Elektrotechnik / Elektronik / Nachrichtentechnik |
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| isbn | 9781786345813 |
| language | English |
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| series | Primers in electronics and computer science |
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| spelling | Gimel'farb, Georgy (DE-588)102727160X aut Image processing and analysis a primer by Georgy Gimelʹfarb (The University of Auckland, New Zealand), Patrice Delmas (The University of Auckland, New Zealand) New Jersey World Scientific 2019 yvi,229 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier Primers in electronics and computer science volume 3 Image processing Digital techniques Computer vision Bildverarbeitung (DE-588)4006684-8 gnd rswk-swf Maschinelles Sehen (DE-588)4129594-8 gnd rswk-swf Bildverarbeitung (DE-588)4006684-8 s Maschinelles Sehen (DE-588)4129594-8 s DE-604 Delmas, Patrice aut Primers in electronics and computer science volume 3 (DE-604)BV042518306 3 Digitalisierung UB Passau - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=030638859&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Gimel'farb, Georgy Delmas, Patrice Image processing and analysis a primer Primers in electronics and computer science Image processing Digital techniques Computer vision Bildverarbeitung (DE-588)4006684-8 gnd Maschinelles Sehen (DE-588)4129594-8 gnd |
| subject_GND | (DE-588)4006684-8 (DE-588)4129594-8 |
| title | Image processing and analysis a primer |
| title_auth | Image processing and analysis a primer |
| title_exact_search | Image processing and analysis a primer |
| title_full | Image processing and analysis a primer by Georgy Gimelʹfarb (The University of Auckland, New Zealand), Patrice Delmas (The University of Auckland, New Zealand) |
| title_fullStr | Image processing and analysis a primer by Georgy Gimelʹfarb (The University of Auckland, New Zealand), Patrice Delmas (The University of Auckland, New Zealand) |
| title_full_unstemmed | Image processing and analysis a primer by Georgy Gimelʹfarb (The University of Auckland, New Zealand), Patrice Delmas (The University of Auckland, New Zealand) |
| title_short | Image processing and analysis |
| title_sort | image processing and analysis a primer |
| title_sub | a primer |
| topic | Image processing Digital techniques Computer vision Bildverarbeitung (DE-588)4006684-8 gnd Maschinelles Sehen (DE-588)4129594-8 gnd |
| topic_facet | Image processing Digital techniques Computer vision Bildverarbeitung Maschinelles Sehen |
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