The Image Processing Handbook, Fifth Edition (Google eBook)

Front Cover
CRC Press, May 26, 2010 - Technology & Engineering - 832 pages
6 Reviews
Now in its fifth edition, John C. Russís monumental image processing reference is an even more complete, modern, and hands-on tool than ever before. The Image Processing Handbook, Fifth Edition is fully updated and expanded to reflect the latest developments in the field. Written by an expert with unequalled experience and authority, it offers clear guidance on how to create, select, and use the most appropriate algorithms for a specific application.

Whatís new in the Fifth Edition?

∑†††††† A new chapter on the human visual process that explains which visual cues elicit a response from the viewer

∑†††††† Description of the latest hardware and software for image acquisition and printing, reflecting the proliferation of the digital camera

∑†††††† New material on multichannel images, including a major section on principal components analysis

∑†††††† Expanded sections on deconvolution, extended dynamic range images, and image enlargement and interpolation

∑†††††† More than 600 new and revised figures and illustrations for a total of more than 2000 illustrations

∑†††††† 20% more references to the most up-to-date literature

Written in a relaxed and reader-friendly style, The Image Processing Handbook, Fifth Edition guides you through the myriad tools available for image processing and helps you understand how to select and apply each one.

  

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没法看!太基础!页数2页左右而已!
有关分形压缩的部分在190页开始

Review: The Image Processing Handbook

User Review  - Vern Roseman - Goodreads

Constantly refer to the processes and terms when doing scientific image analysis and processing. Read full review

Contents

Multiple thresholding criteria
414
Textural orientation
416
Region boundaries
420
Selective histograms
425
Boundary lines
428
Contours
430
Image representation
432
Other segmentation methods
436

Electronics and bandwidth limitations
19
Pixels
21
Grayscale resolution
23
Noise
26
Highdepth images
27
Color imaging
31
Digital camera limitations
39
Color spaces
42
Color correction
51
Color displays
55
Image types
57
Range imaging
59
Multiple images
64
Stereoscopy
70
Imaging requirements
76
Human Vision1
83
Recognition
86
Technical specs
89
Acuity
94
What the eye tells the brain
96
Spatial comparisons
99
Local to global hierarchies
102
Its about time
108
The third dimension
112
How versus what
115
Seeing what isnt there and vice versa
117
Image compression
119
A world of light
121
Size matters
123
Shape whatever that means
126
Context
127
Arrangements must be made
129
Seeing is believing
131
So in conclusion
133
Printing and Storage
135
Dots on paper
140
Color printing
146
Printing hardware
152
Film recorders
157
Other presentation tools
160
File storage
161
Storage media
162
Magnetic recording
164
Databases for images
166
Browsing and thumbnails
171
Lossless coding
174
Reduced color palettes
180
JPEG compression
181
Wavelet compression
187
Fractal compression
190
Digital movies
192
Correcting Imaging Defects
195
Noisy images
199
Neighborhood averaging
203
Neighborhood ranking
214
Other neighborhood noisereduction methods
225
Defect removal maximum entropy and maximum likelihood
230
Nonuniform illumination
235
Fitting a background function
238
Rank leveling
244
Color images
247
Nonplanar views
251
Computer graphics
252
Geometrical distortion
255
Alignment
256
Interpolation
261
Morphing
266
Image Enhancement Processing in the Spatial Domain
269
Contrast manipulation
270
Histogram equalization
274
Laplacian
281
Derivatives
291
Finding edges
292
Rank operations
307
Texture
312
Fractal analysis
316
Image math
317
Subtracting images
318
Multiplication and division
321
Principal components analysis
323
Other image combinations
328
What frequency space is all about
335
The Fourier transform
336
Fourier transforms of real functions
340
Frequencies and orientations
345
Preferred orientation
349
Texture and fractals
354
Isolating periodic noise
356
Selective masks and filters
360
Selection of periodic information
366
Convolution
373
Deconvolution
377
Noise and Wiener deconvolution
382
Template matching and correlation
389
Autocorrelation
393
Thresholding
397
Automatic settings
400
Multiband images
404
Twodimensional thresholds
406
Multiband thresholding
408
Thresholding from texture
412
The general classification problem
439
Processing Binary Images
443
Combining Boolean operations
447
Masks
450
From pixels to features
452
Boolean logic with features
458
Selecting features by location
462
Double thresholding
466
Erosion and dilation
468
Opening and closing
472
Isotropy
476
Measurements using erosion and dilation
478
Extension to grayscale images
479
Morphology neighborhood parameters
481
Examples of use
484
Euclidean distance map
489
Watershed segmentation
493
Ultimate eroded points
496
Skeletonization
498
Boundary lines and thickening
504
Combining skeleton and EDM
508
Global Image Measurements
511
Surface area
516
ASTM Grain Size
521
Multiple types of surfaces
523
Length
524
Sampling strategies
527
Determining number
529
Curvature connectivity and the Disector
532
Anisotropy and gradients
535
Size distributions
537
Classical stereology unfolding
540
FeatureSpecific Measurements
543
Determining location
549
Orientation
553
Neighbor relationships
554
Alignment
559
Counting features
565
Special counting procedures
568
Feature size
572
Circles and ellipses
574
Caliper dimensions
576
Perimeter
579
Describing shape
581
Fractal dimension
585
Harmonic analysis
589
Topology
593
Threedimensional measurements
594
Template matching and crosscorrelation
599
Parametric description
601
Decision points
607
Multidimensional classification
610
Learning systems
615
kNN and cluster analysis
619
Expert systems
622
Neural networks
624
Syntactical models
626
Volume imaging vs sections
629
Basics of reconstruction
632
Algebraic reconstruction methods
637
Maximum entropy
641
Defects in reconstructed images
642
Beam hardening
646
Imaging geometries
652
Threedimensional tomography
656
Highresolution tomography
663
Sources of 3D data
667
Serial sections
669
Optical sectioning
673
Sequential removal
675
Stereo measurement
677
3D data sets
682
Slicing the data set
684
Arbitrary section planes
688
The use of color
691
Volumetric display
694
Stereo viewing
696
Special display hardware
700
Ray tracing
702
Reflection
706
Surfaces
711
Multiply connected surfaces
716
Image processing in 3D
720
Measurements on 3D images
725
Imaging Surfaces
729
Devices that image surfaces by physical contact
732
Noncontacting measurements
735
Microscopy of surfaces
738
Surface composition imaging
741
Processing of range images
743
Processing of composition maps
746
Data presentation and visualization
747
Rendering and visualization
752
Analysis of surface data
758
Profile measurements
760
The Birmingham measurement suite
763
Topographic analysis and fractal dimensions
769
References
777
Index
795
Copyright

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