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Tables of Contents for The Image Processing Handbook
Chapter/Section Title
Page #
Page Count
Acquiring Images
1
86
Human reliance on images for information
1
6
Using video cameras to acquire images
7
8
Electronics and bandwidth limitations
15
10
High resolution imaging
25
7
Color imaging
32
9
Digital cameras
41
6
Color spaces
47
9
Color displays
56
3
Image types
59
2
Range imaging
61
7
Multiple images
68
4
Stereoscopy
72
8
Imaging requirements
80
7
Printing and Storage
87
74
Printing
87
5
Dots on paper
92
6
Color printing
98
6
Printing hardware
104
6
Film recorders
110
3
File storage
113
1
Optical storage media
114
4
Magnetic recording
118
2
Databases for images
120
4
Browsing and thumbnails
124
4
Lossless coding
128
7
Color palettes
135
1
Lossy compression
136
19
Other compression methods
155
3
Digital movies
158
3
Correcting Imaging Defects
161
66
Noisy images
162
4
Neighborhood averaging
166
8
Neighborhood ranking
174
8
Other neighborhood noise reduction methods
182
7
Maximum entropy
189
2
Contrast expansion
191
3
Nonuniform illumination
194
2
Fitting a background function
196
3
Rank leveling
199
6
Color shading
205
4
Nonplanar views
209
1
Computer graphics
210
3
Geometrical distortion
213
3
Alignment
216
6
Morphing
222
5
Image Enhancement
227
78
Contrast manipulation
228
5
Histogram equalization
233
9
Laplacian
242
8
Derivatives
250
5
The Sobel and Kirsch operators
255
13
Rank operations
268
10
Texture
278
4
Fractal analysis
282
6
Implementation notes
288
2
Image math
290
2
Subtracting images
292
3
Multiplication and division
295
10
Processing Images in Frequency Space
305
66
Some necessary mathematical preliminaries
305
15
What frequency space is all about
305
2
The Fourier transform
307
4
Fourier transforms of real functions
311
7
Frequencies and orientations
318
2
Measuring images in the frequency domain
320
14
Orientation and spacing
320
4
Preferred orientation
324
6
Texture and fractals
330
4
Filtering images
334
20
Isolating periodic noise
334
7
Masks and filters
341
7
Selection of periodic information
348
6
Convolution and correlation
354
16
Fundamentals of convolution
354
4
Imaging system characteristics
358
4
Removing motion blur and other defects
362
3
Template matching and correlation
365
2
Autocorrelation
367
3
Conclusion
370
1
Segmentation and Thresholding
371
60
Thresholding
371
3
Multiband images
374
3
Two-dimensional thresholds
377
4
Multiband thresholding
381
5
Thresholding from texture
386
5
Multiple thresholding criteria
391
4
Textural orientation
395
5
Accuracy and reproducibility
400
3
Including position information
403
7
Selective histograms
410
3
Boundary lines
413
3
Contours
416
4
Image representation
420
3
Other segmentation methods
423
4
The general classification problem
427
4
Processing Binary Images
431
78
Boolean operations
431
3
Combining Boolean operations
434
4
Masks
438
2
From pixels to features
440
7
Boolean logic with features
447
4
Selecting features by location
451
5
Double thresholding
456
4
Erosion and dilation
460
1
Opening and closing
461
4
Isotropy
465
2
Measurements using erosion and dilation
467
2
Extension to grey scale images
469
2
Coefficient and depth parameters
471
5
Examples of use
476
5
The custer
481
2
Skeletonization
483
2
Boundary lines and thickening
485
4
Euclidean distance map
489
5
Watershed segmentation
494
4
Ultimate eroded points
498
3
Fractal dimension measurement
501
1
Medial axis transform
501
3
Cluster analysis
504
5
Image Measurements
509
66
Brightness measurements
510
6
Determining location
516
2
Orientation
518
1
Neighbor relationships
519
4
Alignment
523
6
Counting features
529
3
Special counting procedures
532
4
Feature size
536
7
Caliper dimensions
543
6
Perimeter
549
2
Ellipse fitting
551
2
Describing shape
553
2
Fractal dimension
555
4
Harmonic analysis
559
3
Topology
562
4
Feature identification
566
3
Three-dimensional measurements
569
6
3D Image Acquisition
575
42
Volume imaging vs. sections
575
3
Basics of reconstruction
578
7
Algebraic reconstruction methods
585
5
Maximum entropy
590
2
Defects in reconstructed images
592
11
Imaging geometries
603
2
Three-dimensional tomography
605
8
High-resolution tomography
613
4
3D Image Visualization
617
72
Sources of 3D data
617
2
Serial sections
619
5
Optical sectioning
624
3
Sequential removal
627
2
Stereo
629
4
3D data sets
633
3
Slicing the data set
636
5
Arbitrary section planes
641
4
The use of color
645
1
Volumetric display
646
4
Stereo viewing
650
4
Special display hardware
654
3
Ray tracing
657
5
Reflection
662
5
Surfaces
667
6
Multiply connected surfaces
673
6
Image processing in 3D
679
4
Measurements on 3D images
683
3
Conclusion
686
3
Imaging Surfaces
689
58
Producing surfaces
689
3
Devices that image surfaces by physical contact
692
4
Noncontacting measurements
696
4
Microscopy of surfaces
700
3
Surface composition imaging
703
3
Processing of range images
706
4
Processing of composition maps
710
2
Data presentation and visualization
712
5
Rendering and visualization
717
5
Analysis of surface data
722
3
Profile measurements
725
4
The Birmingham measurement suite
729
8
New approaches --- topographic analysis and fractal dimensions
737
10
References
747
16
Index
763