7.10.1 Texture Discrimination and Classification

Winkler, G., Vattrodt, K.,
Measures for Conspicuousness,
CGIP(8), No. 3, December 1978, pp. 355-368.
WWW Version. BibRef 7812

Pratt, W.K., Faugeras, O.D., Gagalowicz, A.,
Visual Discrimination of Stochastic Texture Fields,
SMC(8), 1978, pp. 796-804. BibRef 7800

Gagalowicz, A.,
Visual Discrimination of Stochastic Texture Fields Based upon Their Second Order Statistics,
ICPR80(786-788). BibRef 8000
Earlier:
Analysis of Texture Using a Stochastic Model,
ICPR78(541-544). BibRef

Gagalowicz, A.,
Stochastic Texture Fields Synthesis from a Priori Given Second Order Statistice,
PRIP79(376-381). BibRef 7900

Wang, S., Velasco, F.R.D., Wu, A., Rosenfeld, A.,
Relative Effectiveness of Selected Texture Primitive Statistics for Texture Discrimination,
SMC(11), 1981, pp. 360-370. BibRef 8100

Hsu, S.Y.,
The Mahalanobis Classifier with the Generalized Inverse Approach for Automated Analysis of Imagery Texture Data,
CGIP(9), No. 2, February 1979, pp. 117-134.
WWW Version. BibRef 7902

Hirota, K.[Kaoru],
The Bounded Variation Quantity (B.V.Q.) and its Application to Feature Extraction,
PR(15), No. 2, 1982, pp. 93-101.
WWW Version. 0309
BibRef

Liu, S.S., and Jernigan, M.E.,
Texture Analysis and Discrimination in Additive Noise,
CVGIP(49), No. 1, January 1990, pp. 52-67.
WWW Version. BibRef 9001

Greenspan, H., Goodman, R., Chellappa, R., Anderson, C.H.,
Learning Texture-Discrimination Rules in a Multiresolution System,
PAMI(16), No. 9, September 1994, pp. 894-901.
IEEE Abstract. IEEE Top Reference.
WWW Version. BibRef 9409

Malik, J., and Perona, P.,
Preattentive Texture Discrimination with Early Vision Mechanism,
JOSA-A(7), No. 5, May 1990, pp. 923-932. BibRef 9005
Earlier:
A Computational Model of Texture Perception,
UCBCSD-89-491, 1989. BibRef
And:
A Computational Model of Texture Segmentation,
CVPR89(326-332).
IEEE Abstract. IEEE Top Reference. See also Deformable Kernels for Early Vision. BibRef

Lovell, R., Uttal, W.R., Shepherd, T., Dayanand, S.,
A Model of Visual Texture Discrimination Using Multiple Weak Operators and Spatial Averaging,
PR(25), No. 10, October 1992, pp. 1157-1170.
WWW Version. BibRef 9210

He, D.C.[Dong-Chien], Wang, L.[Li], Guibert, J.[Jean],
Texture Discrimination Based on an Optimal Utilization of Texture Features,
PR(21), No. 2, 1988, pp. 141-146.
WWW Version. 0309
BibRef

Thomson, M.G.A., Foster, D.H.,
Role of Second-Order and Third-Order Statistics in the Discriminability of Natural Images,
JOSA-A(14), No. 9, September 1997, pp. 2081-2090. 9709
BibRef

Yuille, A.L., Coughlan, J.M.[James M.], Wu, Y.N.[Ying-Nian], Zhu, S.C.[Song Chun],
Order Parameters for Detecting Target Curves in Images: When Does High Level Knowledge Help?,
IJCV(41), No. 1-2, January-February 2001, pp. 9-33.
WWW Version. Bayesian inference, curve detection, order parameters, minimax entropy Generalize earlier See also Fundamental Limits of Bayesian Inference: Order Parameters and Phase Transitions for Road Tracking. 0105
BibRef

Yuille, A.L., Coughlan, J.M.[James M.], Zhu, S.C.[Song Chun], Wu, Y.N.[Ying-Nian],
Order Parameters for Minimax Entropy Distributions: When does High Level Knowledge Help?,
CVPR00(I: 558-565).
IEEE Abstract. IEEE Top Reference.
WWW Version. 0005
Choose the model BibRef

Coughlan, J.M., Yuille, A.L.,
G-factors: Relating Distributions on Features to Distributions on Images,
SCTV01(xx-yy). 0106
BibRef

Kim, K.I., Park, S.H., Kim, H.J.,
Kernel Principal Component Analysis for Texture Classification,
SPLetters(8), No. 2, February 2001, pp. 39-41.
IEEE Top Reference. 0101
BibRef

Kim, K.I.[Kwang In], Jung, K.C.[Kee-Chul], Park, S.H.[Se Hyun], Kim, H.J.[Hang Joon],
Support Vector Machines for Texture Classification,
PAMI(24), No. 11, November 2002, pp. 1542-1550.
IEEE Abstract. IEEE Top Reference. 0211
No feature extraction, just the gray levels. BibRef

Epifanio, I., Ayala, G.,
A random set view of texture classification,
IP(11), No. 8, August 2002, pp. 859-867.
IEEE DOI Link 0209
BibRef

Sánchez Yáñez, R.E.[Raúl E.], Kurmyshev, E.V.[Evguenii V.], Cuevas, F.J.[Francisco J.],
A framework for texture classification using the coordinated clusters representation,
PRL(24), No. 1-3, January 2003, pp. 21-31.
HTML Version. 0211
BibRef

Sánchez Yáñez, R.E.[Raúl E.], Kurmyshev, E.V.[Evguenii V.], Fernández, A.[Antonio],
One-class texture classifier in the CCR feature space,
PRL(24), No. 9-10, June 2003, pp. 1503-1511.
WWW Version. 0304
BibRef

Kurmyshev, E.V.[Evguenii V.], Sanchez Yanez, R.E.[Raul E.],
Comparative experiment with colour texture classifiers using the CCR feature space,
PRL(26), No. 9, 1 July 2005, pp. 1346-1353.
WWW Version. 0506
BibRef

Deng, H.[Huawu], Chan, K.L.[Kap Luk], Liu, J.[Jun],
The Poisson equation for image texture modelling,
PRL(24), No. 9-10, June 2003, pp. 1571-1582.
WWW Version. 0304
BibRef

Huang, Y.[Yong], Chan, K.L.[Kap Luk], Huang, Z.Y.[Zhong-Yang],
An Adaptive Model for Texture Classification,
ICPR00(Vol III: 893-896).
IEEE DOI Link
HTML Version. 0009
BibRef

Li, S.T.[Shu-Tao], Kwok, J.T.[James T.], Zhu, H.L.[Hai-Long], Wang, Y.N.[Yao-Nan],
Texture classification using the support vector machines,
PR(36), No. 12, December 2003, pp. 2883-2893.
WWW Version. 0310
BibRef

Kwok, J.T.[James T.],
Support Vector Mixture for Classification and Regression Problems,
ICPR98(Vol I: 255-258).
IEEE DOI Link 9808
BibRef

Christodoulou, C.I., Michaelides, S.C., Pattichis, C.S.,
Multifeature texture analysis for the classification of clouds in satellite imagery,
GeoRS(41), No. 11, November 2003, pp. 2662-2668.
IEEE Abstract. IEEE Top Reference. 0311
BibRef

Pietikäinen, M.[Matti], Nurmela, T.[Tomi], Mäenpää, T.[Topi], Turtinen, M.[Markus],
View-based recognition of real-world textures,
PR(37), No. 2, February 2004, pp. 313-323.
WWW Version. 0311
BibRef

Chen, Q., Gong, P.,
Automatic Variogram Parameter Extraction for Textural Classification of the Panchromatic IKONOS Imagery,
GeoRS(42), No. 5, May 2004, pp. 1106-1115.
IEEE Abstract. IEEE Top Reference. 0407
Automatically extract range and sill from variogram. BibRef

Martinez Alajarin, J., Luis Delgado, J.D., Tomas Balibrea, L.M.,
Automatic system for quality-based classification of marble textures,
SMC-C(35), No. 4, November 2005, pp. 488-497.
IEEE DOI Link 0512
BibRef

Chen, X.W.[Xue-Wen], Zeng, X.Y.[Xiang-Yan], van Alphen, D.[Deborah],
Multi-class feature selection for texture classification,
PRL(27), No. 14, 15 October 2006, pp. 1685-1691.
WWW Version. 0609
Multi-class feature selection; Texture classification; Least squares support vector machine; Recursive feature elimination; Min-max value BibRef

Choy, S.K.[Siu-Kai], Tong, C.S.[Chong-Sze],
Supervised Texture Classification Using Characteristic Generalized Gaussian Density,
JMIV(29), No. 1, Septmeber 2007, pp. 35-47.
Springer DOI Link 0709
BibRef

Choy, S.K., Tong, C.S.,
Statistical Properties of Bit-Plane Probability Model and Its Application in Supervised Texture Classification,
IP(17), No. 8, August 2008, pp. 1399-1405.
IEEE DOI Link 0808
See also Fast and Effective Model for Wavelet Subband Histograms and Its Application in Texture Image Retrieval, A. BibRef

Shoshany, M.[Maxim],
An evolutionary patch pattern approach for texture discrimination,
PR(41), No. 7, July 2008, pp. 2327-2336.
WWW Version. 0804
Patch patterns; Spatial dynamics; Spatial duality; Texture discrimination BibRef

Caputo, B.[Barbara],
Class Specific Object Recognition using Kernel Gibbs Distributions,
ELCVIA(7), No. 2, 2008, pp. xx-yy.
WWW Version. 0903
BibRef

Caputo, B.[Barbara], Hayman, E.[Eric], Mallikarjuna, P.,
Class-Specific Material Categorisation,
ICCV05(II: 1597-1604).
IEEE DOI Link 0510
Decision tree, each node is a SVM to split one class from all others. BibRef

Hayman, E.[Eric], Caputo, B.[Barbara], Fritz, M.[Mario], Eklundh, J.O.[Jan-Olof],
On the Significance of Real-World Conditions for Material Classification,
ECCV04(Vol IV: 253-266).
WWW Version. 0405
SVM application. Texture recognition. Still not a solved problem in general. BibRef

Targhi, A.T.[Alireza Tavakoli], Hayman, E.[Eric], Eklundh, J.O.[Jan-Olof], Shahshahani, M.[Mehrdad],
The Eigen-Transform and Applications,
ACCV06(I:70-79).
Springer DOI Link 0601
Texture measure of roughness. Bottom up detection, top down segmentation. BibRef

Thumfart, S.[Stefan], Heidl, W.[Wolfgang], Scharinger, J.[Josef], Eitzinger, C.[Christian],
A Quantitative Evaluation of Texture Feature Robustness and Interpolation Behaviour,
CAIP09(1154-1161).
Springer DOI Link 0909
BibRef

Tan, X.[Xi],
Ingredient Separation of Natural Images: A Multiple Transform Domain Method Based on Sparse Coding Strategy,
ICIAR07(752-760).
Springer DOI Link 0708
BibRef

Zhang, P.[Peng], Peng, J.[Jing], Buckles, B.[Bill],
Learning Optimal Filter Representation for Texture Classification,
ICPR06(II: 1138-1141).
WWW Version. 0609
BibRef

Qin, L.[Lei], Zheng, Q.F.[Qing-Fang], Jiang, S.Q.A.[Shu-Qi-Ang], Huang, Q.M.[Qing-Ming], Gao, W.[Wen],
Unsupervised texture classification: Automatically discover and classify texture patterns,
IVC(26), No. 5, May 2008, pp. 647-656.
WWW Version. 0803
Unsupervised texture classification; NMF; PLSI; Invariant descriptor BibRef

Qin, L.[Lei], Wang, W.Q.A.[Wei-Qi-Ang], Huang, Q.M.[Qing-Ming], Gao, W.[Wen],
Unsupervised Texture Classification: Automatically Discover and Classify Texture Patterns,
ICPR06(II: 433-436).
WWW Version. 0609
BibRef

Southam, P., Harvey, R.,
Towards texture classification in real scenes,
BMVC05(xx-yy).
HTML Version. 0509
BibRef
Earlier:
Compact rotation-invariant texture classification,
ICIP04(V: 3033-3036).
IEEE DOI Link 0505
BibRef

Win, K.[Khin], Baik, S.[Sung], Baik, R.[Ran], Ahn, S.[Sung], Kim, S.[Sang], Jo, Y.[Yung],
Texture Feature Extraction and Selection for Classification of Images in a Sequence,
IWCIA04(750-757).
WWW Version. 0505
BibRef

Targhi, A.T.[Alireza Tavakoli], Geusebroek, J.M.[Jan-Mark], Zisserman, A.[Andrew],
Texture classification with minimal training images,
ICPR08(1-4).
IEEE DOI Link 0812
BibRef

Pavan, M., Pelillo, M.,
Unsupervised texture segmentation by dominant sets and game dynamics,
CIAP03(302-307).
IEEE Abstract. IEEE Top Reference. 0310
BibRef

Jain, A.K.[Anil K.], Karu, K.[Kalle],
Texture analysis: Representation and matching,
CIAP95(2-10).
Springer DOI Link 9509
BibRef
Earlier:
Automatic filter design for texture discrimination,
ICPR94(A:454-458).
IEEE DOI Link 9410
BibRef

Chapter on 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture continues in
Color Textures and Texture with Color .