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Petrou M., Sevilla P.G. — Image Processing: Dealing with Texture
Petrou M., Sevilla P.G. — Image Processing: Dealing with Texture



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Название: Image Processing: Dealing with Texture

Авторы: Petrou M., Sevilla P.G.

Аннотация:

Techniques for the analysis of texture in digital images are essential to a range of applications in areas as diverse as robotics, defence, medicine and the geo-sciences. In biological vision, texture is an important cue allowing humans to discriminate objects. This is because the brain is able to decipher important variations in data at scales smaller than those of the viewed objects. In order to deal with texture in digital data, many techniques have been developed by image processing researchers.


Язык: en

Рубрика: Computer science/

Статус предметного указателя: Готов указатель с номерами страниц

ed2k: ed2k stats

Год издания: 2006

Количество страниц: 618

Добавлена в каталог: 15.11.2009

Операции: Положить на полку | Скопировать ссылку для форума | Скопировать ID
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Предметный указатель
Principal axes      326
Principal component analysis      521 546 600
Probability density function      24
Projection of one function onto another      335 440 441
Prolate spheroidal sequence filters      406—419 425
Prolate spheroidal sequence functions      380 384—387 398—403 403-406
Prolate spheroidal wave functions      384
Pseudo — Wigner distribution      591 595 597 599
Pseudo-convolution      464 489 562
Pseudo-inverse of a matrix      191
Pseudo-metric      576
Psi transform      361 368
Quadrature mirror filters      481
Random field      168 174 178
Random number generator      23 24
RanSac algorithm      151 152
Raster scanning      45 48 51 407 408
Reflection of an object      68
Resolution of identity      444
Robust fitting      151 152
Robust method      151
Roughs      475
Sampling, at the Nyquist frequency      595 598
Sampling, comb for      596 598
Sampling, critical      595 598
Sampling, with a train of delta functions      596 598
Scale-space representation      477
Scaling function      475 481
Scanning, boustrophedon      48 51
Scanning, Hilbert      45 48 49
Scanning, raster      45 48 51
Schwartz’s inequality      301 303
Segmentation, error of      536
Segmentation, manual      536
Segmentation, quality assessment of      536
Seismic section      4
Self-affine fractal      105 152
Self-affine scaling      117
Self-similar fractal      105
Semi-stochastic pattern      21
Separable filters      423 427 428
Shape grammar      12 13
Shape process      23 29 30 40 45
Short time Fourier transform      315 316 320
Short time Fourier transform, features from      316—318
Sierpinski triangle      106
Simulated annealing      227
Simulated annealing with histogram preservation      220
Sine rule      112
Single-minded algorithm for texture creation      226
Singular value decomposition      427
Skeletonisation      71
Smooths      475
Sombrero      450 477
Specific boundary length      31 33 39
Specific boundary length per unit area      33 35 36
Specific boundary length per unit length      33 35
Specific convexity      31 33 39
Spectral bandwidth      302 344 453
Spectral centre of gravity      302 448
Stable pattern      580
Stochastic grammar      21
Structure tree      502 503 505
Structuring element      54
Structuring element, bias of      98
Structuring element, flat      90
Structuring element, non-flat      92 98
Structuring element, non-symmetric      57
Subsampling matrices      512
subspace      474
Subspace addition      478
Super-parameter      186
SVD      427
Tangent point      32 40 41
Temperature      221 230
Terminal      13
Tesselation of the frequency space      346 353 354 412 413 502 506
tetrahedron      112
Texture classification      4
Texture defect detection      4
Texture features      81
Texture region, isolation of      3 6
Texture segmentation      4 297 530—535 599
Texture synthesis by analysis      169
Texture, anisotropic      66
Texture, as cue      2
Texture, as nuisance      1
Texture, classes of      12 283
Texture, classification of      81
Texture, creation of      172—182 187 194 195 220 222—229
Texture, definition of      1
Texture, descriptors of      80
Texture, directionality of      66
Texture, illumination direction dependence of      5
Texture, irregular      12
Texture, isotropic      49
Texture, man-made      12
Texture, natural      12
Texture, non-stationary      297
Texture, periodicity of      252 260
Texture, random      12 13
Texture, regular      12
Texture, scale dependence of      5
Texture, semi-regular      12 21 43
Texture, semi-stochastic      12 21 43
Texture, stationary      81
Texture, statistical descriptors for      12
Time dispersion      302
Topological dimension      118 128
Translation of an object      68
Tree wavelet analysis, ^      85 486 490 498 503
Triangle inequality      576
Unbiased estimator      31
Uncertainty principle      297 298 303 326 345 448 453 454
Under-detection error      536 538
Uniform distribution      24 28
Upsampling matrices      513
Vector outer product      480
von Koch snowflake      105—108
Walsh functions      548 549 552
Wavelet      436 500 518—520
Wavelet analysis, matrices for      513
Wavelet analysis, packet      487 491 504
Wavelet analysis, tree      485 486 490 498 503
Wavelet coefficients      462 463
Wavelet transform, continuous      441 455 474
Wavelet transform, discrete      474
Wavelet transform, discrete fast      489
Wavelet transform, inverse continuous      442 456 472
Wavelet transform, inverse discrete fast      494—499
Wavelet, Coiflet      501
Wavelet, Daubechies      501
Wavelet, dyadic      460 483 484
Wavelet, Haar      461 464 482 501
Whitening      526
Wiener — Khinchine theorem      154 156 158
Wigner distribution      573 583 591 595 597 599
Wigner distribution, inverse of      584 586 588
Wigner spectrum      583
Window, dependence on      307
Window, effect of      305 315 319 324
Window, energy of      142 143
Window, flat      306—310 325 375 376
Window, Gaussian      139—144 311—314 325 337 339 357 376
Window, Kaiser      591 592 600
Window, rectangular      306—310 325
Window, size of      323
Window, tanh      139—144
With histogram preservation      220
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