Principles of digital image processing: core algorithms
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
London
Springer
2009
|
| Series: | Undergraduate topics in computer science
|
| Subjects: | |
| Online Access: | Cover Kapitel 2 Vorwort 1 Inhaltsverzeichnis |
| Physical Description: | XII, 327 S. Ill., graph. Darst. |
| ISBN: | 9781848001947 |
Staff View
MARC
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| 245 | 1 | 0 | |a Principles of digital image processing |b core algorithms |c Wilhelm Burger ; Mark J. Burge |
| 246 | 1 | 3 | |a Core algorithms |
| 264 | 1 | |a London |b Springer |c 2009 | |
| 300 | |a XII, 327 S. |b Ill., graph. Darst. | ||
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Record in the Search Index
| _version_ | 1804138844949315584 |
|---|---|
| adam_text | Contents
Preface
v
1.
Introduction
................................................ 1
1.1
Programming with Images
................................. 2
1.2
Image Analysis
........................................... 3
2.
Regions in Binary Images
................................... 5
2.1
Finding Image Regions
.................................... 6
2.1.1
Region Labeling with Flood Filling
................... 6
2.1.2
Sequential Region Labeling
.......................... 11
2.1.3
Region Labeling
—
Summary
......................... 17
2.2
Region Contours
......................................... 17
2.2.1
External and Internal Contours
...................... 18
2.2.2
Combining Region Labeling and Contour Finding
...... 20
2.2.3
Implementation
.................................... 22
2.2.4
Example
.......................................... 25
2.3
Representing Image Regions
............................... 26
2.3.1
Matrix Representation
.............................. 26
2.3.2
Run Length Encoding
............................... 27
2.3.3
Chain Codes
....................................... 28
2.4
Properties of Binary Regions
............................... 32
2.4.1
Shape Features
..................................... 32
2.4.2
Geometric Features
................................. 33
2.4.3
Statistical Shape Properties
.......................... 36
2.4.4
Moment-Based Geometrical Properties
................ 38
2.4.5
Projections
........................................ 44
viii
___________________________________________
Contents
2.4.6
Topological
Properties
.............................. 45
2.5
Exercises
................................................ 46
3.
Detecting Simple Curves
................................... 49
3.1
Salient Structures
........................................
49
3.2
Hough Transform
......................................... 50
3.2.1
Parameter Space
................................... 51
3.2.2
Accumulator Array
................................. 54
3.2.3
A Better Line Representation
........................ 54
3.3
Implementing the Hough Transform
........................ 55
3.3.1
Filling the Accumulator Array
....................... 56
3.3.2
Analyzing the Accumulator Array
.................... 56
3.3.3
Hough Transform Extensions
........................ 60
3.4
Hough Transform for Circles and Ellipses
.................... 63
3.4.1
Circles and Arcs
................................... 64
3.4.2
Ellipses
........................................... 66
3.5
Exercises
................................................ 67
4.
Corner Detection
........................................... 69
4.1
Points of Interest
......................................... 69
4.2
Harris Corner Detector
.................................... 70
4.2.1
Local Structure Matrix
.............................. 70
4.2.2
Corner Response Function (CRF)
.................... 71
4.2.3
Determining Corner Points
.......................... 72
4.2.4
Example
.......................................... 72
4.3
Implementation
.......................................... 72
4.3.1
Step
1:
Computing the Corner Response Function
...... 76
4.3.2
Step
2:
Selecting Good Corner Points
............... 79
4.3.3
Displaying the Corner Points
........................ 83
4.3.4
Summary
.......................................... 83
4.4
Exercises
................................................ 84
5.
Color Quantization
......................................... 85
5.1
Scalar Color Quantization
................................. 86
5.2
Vector Quantization
...................................... 88
5.2.1
Populosity algorithm
................................ 88
5.2.2
Median-cut algorithm
............................... 88
5.2.3
Octree algorithm
................................... 89
5.2.4
Other methods for vector quantization
................ 94
5.3 Exercises
................................................ 95
Contents
¡x
6. Colorimetric
Color
Spaces.................................. 97
6.1
CIE
Color Spaces
......................................... 98
6.1.1
CIE XYZ
color space
............................... 98
6.1.2
CIE
ж, у
chromaticity
............................... 99
6.1.3
Standard
illuminants
...............................101
6.1.4
Gamut
............................................102
6.1.5
Variants of the
CIE
color space
......................103
6.2
CIE
L*a*b*
...............................................104
6.2.1
Transformation CIEXYZ
->
L*a*b*
...................104
6.2.2
Transformation L*a*b*
->■
CIEXYZ
...................105
6.2.3
Measuring color differences
..........................105
6.3
sRGB
...................................................106
6.3.1
Linear vs. nonlinear color components
.................107
6.3.2
Transformation CIEXYZ-^sRGB
....................108
6.3.3
Transformation sRGB-^CIEXYZ
....................108
6.3.4
Calculating with sRGB values
........................109
6.4
Adobe RGB
.............................................
Ill
6.5
Chromatic Adaptation
....................................
Ill
6.5.1
XYZ scaling
.......................................112
6.5.2
Bradford adaptation
................................113
6.6
Colorimetric Support in Java
..............................114
6.6.1
sRGB colors in Java
................................114
6.6.2
Profile connection space (PCS)
.......................115
6.6.3
Color-related Java classes
...........................118
6.6.4
A L*a*b* color space implementation
..................120
6.6.5
ICC profiles
.......................................121
6.7
Exercises
................................................124
7.
Introduction to Spectral Techniques
........................125
7.1
The Fourier Transform
....................................126
7.1.1
Sine and Cosine Functions
...........................126
7.1.2
Fourier Series of Periodic Functions
...................130
7.1.3
Fourier Integral
....................................130
7.1.4
Fourier Spectrum and Transformation
.................131
7.1.5
Fourier Transform Pairs
.............................132
7.1.6
Important Properties of the Fourier Transform
.........136
7.2
Working with Discrete Signals
.............................137
7.2.1
Sampling
..........................................137
7.2.2
Discrete and Periodic Functions
......................144
7.3
The Discrete Fourier Transform (DFT)
......................144
7.3.1
Definition of the DFT
...............................144
x
Contents
7.3.2
Discrete
Basis Functions
............................147
7.3.3
Aliasing Again!
....................................148
7.3.4
Units in Signal and Frequency Space
..................152
7.3.5
Power Spectrum
....................................153
7.4
Implementing the DFT
....................................154
7.4.1
Direct Implementation
..............................154
7.4.2
Fast Fourier Transform (FFT)
.......................155
7.5
Exercises
................................................156
8.
The Discrete Fourier Transform in 2D
......................157
8.1
Definition of the 2D DFT
..................................157
8.1.1
2D Basis Functions
.................................158
8.1.2
Implementing the Two-Dimensional DFT
..............158
8.2
Visualizing the 2D Fourier Transform
.......................162
8.2.1
Range of Spectral Values
............................162
8.2.2
Centered Representation
............................162
8.3
Frequencies and Orientation in 2D
..........................164
8.3.1
Effective Frequency
.................................164
8.3.2
Frequency Limits and Aliasing in 2D
..................164
8.3.3
Orientation
........................................165
8.3.4
Normalizing the 2D Spectrum
........................166
8.3.5
Effects of Periodicity
................................167
8.3.6
Windowing
........................................169
8.3.7
Windowing Functions
...............................169
8.4
2D Fourier Transform Examples
............................171
8.5
Applications of the DFT
..................................175
8.5.1
Linear Filter Operations in Frequency Space
...........175
8.5.2
Linear Convolution versus Correlation
................177
8.5.3
Inverse Filters
.....................................178
8.6
Exercises
................................................180
9,
The Discrete Cosine Transform (DCT)
.....................183
9.1
One-Dimensional DCT
....................................183
9.1.1
DCT Basis Functions
...............................184
9.1.2
Implementing the One-Dimensional DCT
..............186
9.2
Two-Dimensional DCT
....................................187
9.2.1
Separability
.......................................187
9.2.2
Examples
.........................................188
9.3
Other Spectral Transforms
.................................188
9.4
Exercises
................................................190
Contents xi
10. Geometrie
Operations......................................
191
10.1 2D
Mapping Function
.....................................193
10.1.1
Simple Mappings
...................................193
10.1.2
Homogeneous Coordinates
...........................194
10.1.3 Affine
(Three-Point) Mapping
........................195
10.1.4
Projective
(Four-Point) Mapping
.....................197
10.1.5
Bilinear Mapping
...................................203
10.1.6
Other Nonlinear Image Transformations
...............204
10.1.7
Local Image Transformations
........................207
10.2
Resampling the Image
....................................209
10.2.1
Source-to-Target Mapping
...........................209
10.2.2
Target-to-Source Mapping
...........................210
10.3
Interpolation
.............................................210
10.3.1
Simple Interpolation Methods
........................211
10.3.2
Ideal Interpolation
..................................213
10.3.3
Interpolation by Convolution
........................217
10.3.4
Cubic Interpolation
.................................217
10.3.5
Spline Interpolation
.................................219
10.3.6
Lanczos Interpolation
...............................223
10.3.7
Interpolation in 2D
.................................225
10.3.8
Aliasing
...........................................234
10.4
Java Implementation
......................................238
10.4.1
Geometric Transformations
..........................238
10.4.2
Pixel Interpolation
.................................248
10.4.3
Sample Applications
................................251
10.5
Exercises
................................................253
11.
Comparing Images
..........................................255
11.1
Template Matching in Intensity Images
......................257
11.1.1
Distance between Image Patterns
.....................258
11.1.2
Implementation
....................................266
11.1.3
Matching under Rotation and Scaling
.................267
11.2
Matching Binary Images
..................................269
11.2.1
Direct Comparison
.................................269
11.2.2
The Distance Transform
.............................270
11.2.3
Chamfer Matching
..................................274
11.3
Exercises
................................................278
A. Mathematical Notation
.....................................279
A.1 Symbols
.................................................279
A.2 Set. Operators
............................................281
A.3 Complex Numbers
........................................282
xii Contents
В.
Source Code
................................................283
B.I Combined Region Labeling and Contour Tracing
.............283
B.I.I Contour_Tracing_Plugin (Class)
....................283
B.1.2 Contour (Class)
....................................285
B.1.3 Binary-Region (Class)
..............................286
B.1.4 ContourTracer (Class)
.............................287
B.I.
5
ContourOverlay (Class)
............................292
B.2 Harris Corner Detector
....................................294
B.2.1
Harris_Corner_Plugin
(Class)
......................294
B.2.2 File Corner (Class)
.................................295
B.2.3 File HarrisCornerDetector (Class)
..................296
B.3 Median-Cut Color Quantization
............................301
B.3.1 ColorQuantizer (Interface)
.........................301
B.3.2 MedianCutQuantizer (Class)
........................301
B.3.3 ColorHistogram (Class)
............................309
B.3.4 Median_Cut_quantization (Class)
...................310
Bibliography
....................................................313
Index
...........................................................321
|
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| discipline | Informatik Elektrotechnik / Elektronik / Nachrichtentechnik |
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| indexdate | 2024-07-09T21:34:36Z |
| institution | BVB |
| isbn | 9781848001947 |
| language | English |
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| physical | XII, 327 S. Ill., graph. Darst. |
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| record_format | marc |
| series2 | Undergraduate topics in computer science |
| spelling | Burger, Wilhelm 1955- Verfasser (DE-588)132219271 aut Principles of digital image processing core algorithms Wilhelm Burger ; Mark J. Burge Core algorithms London Springer 2009 XII, 327 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Undergraduate topics in computer science Image processing Digital techniques Computer algorithms Bildverarbeitung (DE-588)4006684-8 gnd rswk-swf (DE-588)4123623-3 Lehrbuch gnd-content Bildverarbeitung (DE-588)4006684-8 s DE-604 Burge, Mark James Verfasser (DE-588)132219336 aut DE-576;springer image/jpeg http://swbplus.bsz-bw.de/bsz27793088xcov.htm 20090601113129 Cover DE-576;springer application/pdf http://swbplus.bsz-bw.de/bsz27793088xkap.htm 20090623102342 Kapitel 2 DE-576;springer application/pdf http://swbplus.bsz-bw.de/bsz27793088xvor.htm 20090623100436 Vorwort 1 Digitalisierung UB Regensburg application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=017330367&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Burger, Wilhelm 1955- Burge, Mark James Principles of digital image processing core algorithms Image processing Digital techniques Computer algorithms Bildverarbeitung (DE-588)4006684-8 gnd |
| subject_GND | (DE-588)4006684-8 (DE-588)4123623-3 |
| title | Principles of digital image processing core algorithms |
| title_alt | Core algorithms |
| title_auth | Principles of digital image processing core algorithms |
| title_exact_search | Principles of digital image processing core algorithms |
| title_full | Principles of digital image processing core algorithms Wilhelm Burger ; Mark J. Burge |
| title_fullStr | Principles of digital image processing core algorithms Wilhelm Burger ; Mark J. Burge |
| title_full_unstemmed | Principles of digital image processing core algorithms Wilhelm Burger ; Mark J. Burge |
| title_short | Principles of digital image processing |
| title_sort | principles of digital image processing core algorithms |
| title_sub | core algorithms |
| topic | Image processing Digital techniques Computer algorithms Bildverarbeitung (DE-588)4006684-8 gnd |
| topic_facet | Image processing Digital techniques Computer algorithms Bildverarbeitung Lehrbuch |
| url | http://swbplus.bsz-bw.de/bsz27793088xcov.htm http://swbplus.bsz-bw.de/bsz27793088xkap.htm http://swbplus.bsz-bw.de/bsz27793088xvor.htm http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=017330367&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| work_keys_str_mv | AT burgerwilhelm principlesofdigitalimageprocessingcorealgorithms AT burgemarkjames principlesofdigitalimageprocessingcorealgorithms AT burgerwilhelm corealgorithms AT burgemarkjames corealgorithms |