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[资料] The Image Processing Handbook 数字图像处理第六版中英 John C. Russ

[资料] The Image Processing Handbook 数字图像处理第六版中英 John C. Russ

本书介绍的图像处理方法没有太多深硬的数学公式。
我把中英文版都收集了,可以对照看,特别是英文原版的图片是彩图,效果更好。
先上英文的
the image processing handbook.png
2018-8-13 19:13

Contents
Acknowledgments xi
Introduction xiii
Author xvii
1 Acquiring Images 1
  Human reliance on images for information ........... 1
  Video cameras .................................................. 6
  CCD cameras ................................................... 7
  Camera artifacts and limitations .........................13
  Color cameras .................................................15
  Camera resolution ............................................18
  Focusing ......................................................... 20
  Electronics and bandwidth limitations ..................21
  Pixels ..............................................................24
  Gray scale resolution ....................................... 26
  Noise ............................................................ 28
  High depth images .......................................... 30
  Color imaging ..................................................34
  Digital camera limitations ................................. 42
  Color spaces .................................................. 42
  Color correction ...............................................52
  Color displays ..................................................54
  Image types .................................................... 56
  Range imaging ............................................... 58
  Multiple images .............................................. 64
  Stereoscopy .................................................... 69
  Imaging requirements ....................................... 77

2 Human Vision 85
  What we see and why ..................................... 85
  Recognition .................................................... 88
  Technical specs ............................................... 92
  Acuity .............................................................97
  What the eye tells the brain .............................101
  Spatial comparisons .......................................103
  Local to global hierarchies ...............................107
  It’s about time ................................................ 113
  The third dimension ......................................... 118
  How versus what ............................................ 121
  Seeing what isn’t there, and vice versa ..............122
  Image compression .........................................125
  A world of light ..............................................126
  Size matters ...................................................129
  Shape (whatever that means) ...........................132
  Context .........................................................133
  Arrangements must be made ............................135
  Seeing is believing .........................................137
  So in conclusion... ..........................................139

3 Printing and Storage 141
  Printing.......................................................... 141
  Dots on paper ................................................145
  Color printing ................................................150
  Printing hardware ...........................................156
  Film recorders ................................................ 161
  Other presentation tools ..................................162
  File storage ....................................................163
  Storage media ...............................................164
  Magnetic recording ........................................166
  Databases for images .....................................167
  Browsing and thumbnails ................................. 174
  Lossless coding ............................................... 178
  Reduced color palettes ....................................183
  JPEG compression ..........................................184
  Wavelet compression ......................................187
  Fractal compression ........................................192
  Digital movies ................................................194

4 Correcting Imaging Defects 199
  Contrast expansion ........................................ 200
  Noisy images ............................................... 205
  Neighborhood averaging ............................... 208
  Neighborhood ranking.................................... 214
  Other neighborhood noise reduction methods ....226
Defect removal, maximum entropy, and
  maximum likelihood ........................................232
  Nonuniform illumination ..................................235
  Fitting a background function ...........................238
  Rank leveling .................................................244
  Color images .................................................248
  Non-planar views ...........................................250
  Computer graphics .........................................252
  Geometric distortion .......................................254
  Alignment ......................................................256
  Interpolation ..................................................261
  Morphing ......................................................265

5 Image Enhancement in the Spatial
  Domain 269
  Contrast manipulation .....................................270
  Histogram equalization ...................................274
  Local equalization ..........................................279
  Laplacian ......................................................283
  Derivatives .....................................................293
  Finding edges with gradients ...........................296
  More edge detectors ..................................... 306
  Texture .......................................................... 312
  Fractal analysis .............................................. 317
  Implementation notes ...................................... 319
  Image math ................................................... 319
  Subtracting images .........................................320
  Multiplication and division ...............................323
  Principal components analysis ..........................325
  Other image combinations ..............................331

6 Processing Images in Frequency
  Space 337
  About frequency space ...................................337
  The Fourier transform.......................................338
  Fourier transforms of simple functions ................341
  Frequencies and orientations ............................345
  Preferred orientation .......................................350
  Texture and fractals.........................................351
  Isolating periodic noise ...................................356
  Selective masks and filters ...............................361
  Selection of periodic information ......................364
  Convolution ...................................................370
  Deconvolution ................................................372
  Noise and Wiener deconvolution .....................378
  Template matching and correlation ...................385
  Autocorrelation ..............................................391

7 Segmentation and Thresholding 395
  Thresholding ..................................................395
  Automatic settings ..........................................398
  Multiband images ......................................... 403
  Two-dimensional thresholds ............................. 405
  Multiband thresholding .................................. 408
  Thresholding from texture ................................. 411
  Multiple thresholding criteria ............................ 414
  Textural orientation .........................................415
  Region boundaries .........................................419
  Conditional histograms ....................................426
  Boundary lines ...............................................427
  Contours ...................................................... 430
  Image representation ......................................432
  Other segmentation methods ...........................436
  The general classification problem ................... 440

8 Processing Binary Images 443
  Boolean operations ....................................... 443
  Combining Boolean operations ....................... 446
  Masks .......................................................... 450
  From pixels to features.....................................452
  Boolean logic with features ..............................457
  Selecting features by location ..........................461
  Double thresholding ....................................... 466
  Erosion and dilation ....................................... 468
  Opening and closing ......................................471
  Isotropy .........................................................473
  Measurements using erosion and dilation ..........478
  Extension to gray scale images.........................481
  Morphology neighborhood parameters ............ 482
  Examples of use .............................................484
  Euclidean distance map ................................. 488
  Watershed segmentation .................................491
  Ultimate eroded points ....................................494
  Skeletons .......................................................498
  Boundary lines and thickening ........................ 503
  Combining skeleton and EDM ......................... 506

9 Global Image Measurements 511
  Global measurements and stereology................ 511
  Surface area .................................................. 516
  ASTM Grain Size ............................................521
  Multiple types of surfaces ................................523
  Length ...........................................................525
  Thickness .......................................................527
  Sampling strategies ........................................530
  Determining number .......................................532
  Curvature, connectivity, and the Disector ...........535
  Anisotropy and gradients ................................538
  Size distributions ............................................542
  Classical stereology (unfolding) ........................543

10 Feature-Specific Measurements 547
  Brightness measurements .................................547
  Determining location .......................................556
  Orientation ....................................................559
  Neighbor relationships ....................................562
  Alignment ......................................................567
  Counting ....................................................... 574
  Special counting procedures ............................579
  Feature size ...................................................584
  Circles and ellipses .........................................587
  Caliper dimensions .........................................589
  Perimeter .......................................................592

11 Characterizing Shape 597
  Describing shape ...........................................597
  Dimensionless ratios ........................................599
  Fractal dimension .......................................... 604
  Harmonic analysis ..........................................610
  Topology .......................................................620
  Three dimensions ............................................623

12 Feature Recognition and
  Classification 627
  Template matching and cross-correlation ...........628
  Parametric description .....................................631
  Decision points...............................................635
  Multidimensional classification .........................639
  Learning systems .............................................646
  kNN and cluster analysis ................................652
  Expert systems ................................................655
  Neural nets ....................................................657
  Syntactical models ..........................................659

13 Tomographic Imaging 661
  More than two dimensions ...............................661
  Volume imaging vs. sections ............................664
  Basics of reconstruction ...................................670
  Algebraic reconstruction methods .....................676
  Maximum entropy ..........................................679
  Defects in reconstructed images .......................681
  Beam hardening ............................................ 686
  Imaging geometries ........................................691
  Three-dimensional tomography .........................695
  High-resolution tomography .............................701

14 3D Visualization 707
  Sources of 3D data .........................................707
  Serial sections ................................................709
  Optical sectioning ..........................................713
  Sequential removal .........................................715
  Stereo measurement........................................ 717
  3D data sets ..................................................722
  Slicing the data set .........................................724
  Arbitrary section planes ..................................727
  The use of color..............................................731
  Volumetric display ..........................................732
  Stereo viewing ...............................................736
  Special display hardware ................................739
  Ray tracing .................................................... 741
  Reflection ......................................................746
  Surfaces ........................................................750
  Multiply connected surfaces .............................754
  Image processing in 3D ..................................759
  Measurements on 3D images ...........................763

15 Imaging Surfaces 767
  Producing surfaces ..........................................767
  Imaging surfaces by physical contact ................770
  Noncontacting measurements ..........................773
  Microscopy of surfaces ...................................777
  Surface composition imaging ...........................782
  Processing of range images .............................783
  Processing of composition maps .......................787
  Data presentation and visualization ..................788
  Rendering and visualization .............................791
  Analysis of surface data ..................................796
  Profile measurements ...................................... 800
  The Birmingham measurement suite .................. 803
  Topographic analysis and fractal dimensions .... 809
  References 817

The Image Processing Handbook 6th Edition.part1.rar (15 MB)

The Image Processing Handbook 6th Edition.part2.rar (15 MB)

The Image Processing Handbook 6th Edition.part3.rar (10.9 MB)

数字图像处理.png
2018-8-13 22:56


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Awesome! thanks!

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回复 1# darrenxu


点赞!!!!!!!!!!!!!!

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Thanks for you share!

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thanks

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感谢分享,好的书籍都是外文啊!

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好书啊,就是下到一半没信元啦

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