7.10.7 Filter Approaches to Texture

Apostolico, A., Caianiello, E.R., Fischetti, E., Vitulano, S.,
An Application of C-Calculus to Texture Analysis: C-Transforms,
PR(10), No. 5-6, 1978, pp. 389-396.
WWW Version. BibRef 7800

Caianiello, E.R., Gisolfi, A., Vitulano, S.,
A Technique for Texture Analysis Using C-Calculus,
SP(1), 1979, pp. 159-173. BibRef 7900

Wechsler, H.[Harry], Citron, T.[Todd],
Feature extraction for texture classification,
PR(12), No. 5, 1980, pp. 301-311.
WWW Version. 0309 BibRef

Ade, F.,
Characterization of Textures by 'Eigenfilters',
SP(5), 1983, pp. 451-457. BibRef 8300

Beck, J., Sutter, A., and Ivry, R.,
Spatial Frequency Channels and Perceptual Grouping in Texture Segregation,
CVGIP(37), No. 2, February 1987, pp. 299-325. BibRef 8702

Bergen, J.R., and Adelson, E.H.,
Early Vision and Texture Perception,
Nature(333), 1988, pp. 363-367. Textures are similar (to people) when similar response in a bank of filters (e.g. Gabor). BibRef 8800

Montes, J., Cristobal, G., Bescos, J.,
Texture Isolation by Adaptive Digital Filtering,
IVC(6), No. 3, August 1988, pp. 189-192.
WWW Version. BibRef 8808

Kundu, A.[Amlan], Chen, J.L.[Jia-Lin],
Texture Classification Using QMF Bank-Based Subband Decomposition,
GMIP(54), No. 5, September 1992, pp. 369-384. BibRef 9209

Coggins, J.M., and Jain, A.K.,
A Spatial Filtering Approach to Texture Analysis,
PRL(3), 1985, pp. 195-203. BibRef 8500

He, D.C.[Dong-Chen], Wang, L.[Li],
Textural filters based on the texture spectrum,
PR(24), No. 12, 1991, pp. 1187-1195.
WWW Version. 0401 BibRef

Olstad, B.[Bjørn],
Reasoning with entropy graphs for image operators,
PR(26), No. 8, August 1993, pp. 1255-1275.
WWW Version. 0401Structuring of large sets of image operators. For Segmentation. BibRef

Shang, C.[Changjing], Brown, K.[Keith],
Principal features-based texture classification with neural networks,
PR(27), No. 5, May 1994, pp. 675-687.
WWW Version. 0401 BibRef

Linnett, L.M., Carmichael, D.R., Clarke, S.J.,
Texture Classification Using a Spatial-Point Process Model,
VISP(142), No. 1, February 1995, pp. 1-6. BibRef 9502

Francos, J.M., Meiri, A.Z., and Porat, B.,
A Unified Texture Model Based on a 2-D Wold Like Decomposition,
TSP(41), August 1993, pp. 2665-2678. BibRef 9308

Francos, J.M., Meiri, A.Z.,
A unified structural-stochastic model for texture analysis and synthesis,
ICPR88(I: 41-45).
WWW Version. 8811 BibRef

Francos, J.M., Narasimhan, A., Woods, J.W.,
Maximum likelihood parameter estimation of textures using a Wold-decomposition based model,
IP(4), No. 12, December 1995, pp. 1655-1666.
WWW Version. 0402 BibRef

Sriram, R., Francos, J.M., Pearlman, W.A.,
Texture Coding Using a Wold Decomposition Model,
IP(5), No. 9, September 1996, pp. 1382-1386.
WWW Version. BibRef 9609
Earlier: ICPR94(C:35-39).
WWW Version. 9410 BibRef

Chen, J.L.[Jia-Lin], Kundu, A.,
Rotation and gray scale transform invariant texture identification using wavelet decomposition and hidden Markov model,
PAMI(16), No. 2, February 1994, pp. 208-214.
IEEE Abstract. IEEE Top Reference.
WWW Version. Wavelets. Markov Model. BibRef 9402

Chen, J.L., Kundu, A.,
Unsupervised Texture Segmentation Using Multichannel Decomposition and Hidden Markov-Models,
IP(4), No. 5, May 1995, pp. 603-619.
WWW Version. BibRef 9505
Earlier:
Automatic Unsupervised Texture Segmentation Using Hidden Markov Model,
ICASSP93(V: 21-24). BibRef

Hall, T.E., Giannakis, G.B.,
Image Modeling Using Inverse Filtering Criteria with Application to Textures,
IP(5), No. 6, June 1996, pp. 938-949.
WWW Version. 9607 BibRef
Earlier:
Image modeling using inverse filtering criteria with application to texture images,
ICIP94(III: 392-396).
WWW Version. 9411 BibRef

Hall, T.E., Giannakis, G.B.,
Bispectral analysis and model validation of texture images,
IP(4), No. 7, July 1995, pp. 996-1009.
WWW Version. 0402 BibRef

Manian, V.[Vidya], Vasquez, R.[Ramon],
Scaled and rotated texture classification using a class of basis functions,
PR(31), No. 12, December 1998, pp. 1937-1948.
WWW Version. BibRef 9812

Cristobal, G.[Gabriel], Hormigo, J.[Javier],
Texture segmentation through eigen-analysis of the Pseudo-Wigner distribution,
PRL(20), No. 3, March 1999, pp. 337-345. BibRef 9903

Chen, C.C.[Chien-Chang], Chen, C.C.[Chaur-Chin],
Filtering methods for texture discrimination,
PRL(20), No. 8, August 1999, pp. 783-790. BibRef 9908

Manian, V., Vasquez, R., Katiyar, P.,
Texture Classification Using Logical Operators,
IP(9), No. 10, October 2000, pp. 1693-1703.
WWW Version. 0010 BibRef

Bisoi, A.K.[Ajay Kumar], Mishra, J.[Jibitesh],
On calculation of fractal dimension of images,
PRL(22), No. 6-7, May 2001, pp. 631-637.
HTML Version. 0105 BibRef

Bresch, M.[Manfred],
Optimizing filter banks for supervised texture recognition,
PR(35), No. 4, April 2002, pp. 783-790.
WWW Version. 0201 BibRef

Barsky, S.[Svetlana], Petrou, M.[Maria],
On the Reliability of Computing Wigner Texture Features,
JMIV(16), No. 2, March 2002, pp. 107-129.
WWW Version. 0202 BibRef

Zhu, S.C.[Song Chun], Liu, X.W.[Xiu-Wen],
Learning in Gibbsian Fields: How Accurate and How Fast Can It Be?,
PAMI(24), No. 7, July 2002, pp. 1001-1006.
IEEE Abstract. IEEE Top Reference. 0207 BibRef
Earlier: CVPR00(II: 2-9).
IEEE Abstract. IEEE Top Reference.
WWW Version. 0005Identify 2 issues: efficience in liklihood functions and variance in approximating partitions functions. See also Minimax Entropy Principles and Its Application to Texture Modeling. BibRef

Huang, Y.[Yong], Chan, K.L.[Kap Luk], Zhang, Z.H.[Zhi-Hua],
Texture classification by multi-model feature integration using Bayesian networks,
PRL(24), No. 1-3, January 2003, pp. 393-401.
HTML Version. 0211 BibRef

Li, Y.[Yan], Peng, J.X.[Jia-Xiong],
Remote Sensing Texture Analysis Using Multi-Parameter and Multi-Scale Features,
PhEngRS(69), No. 4, April 2003, pp. 351-356. The new feature set, derived from fractional Brownian motion, is presented.
WWW Version. 0304 BibRef

Nunes, J.C., Bouaoune, Y., Delechelle, E., Niang, O., Bunel, P.,
Image analysis by bidimensional empirical mode decomposition,
IVC(21), No. 12, November 2003, pp. 1019-1026.
WWW Version. 0310EMD (empirical mode decomposition) from Huang. Apply to texture extraction and image filtering. Multiple scales. BibRef

Nunes, J.C.[Jean Claude], Guyot, S., Deléchelle, E.[Eric],
Texture analysis based on local analysis of the Bidimensional Empirical Mode Decomposition,
MVA(16), No. 3, May 2005, pp. 177-188.
WWW Version. 0505 BibRef

Nunes, J.C.[Jean Claude], Niang, O.[Oumar], Bouaoune, Y.[Yasmina], Delechelle, E.[Eric], Bunel, P.[Philippe],
Bidimensional Empirical Mode Decomposition Modified for Texture Analysis,
SCIA03(171-177).
WWW Version. 0310 BibRef

Varma, M.[Manik], Zisserman, A.[Andrew],
A Statistical Approach to Texture Classification from Single Images,
IJCV(62), No. 1-2, April-May 2005, pp. 61-81.
WWW Version. 0411 BibRef
Earlier:
Texture classification: are filter banks necessary?,
CVPR03(II: 691-698).
IEEE Abstract. IEEE Top Reference. 0307 BibRef
And:
Classifying Images of Materials: Achieving Viewpoint and Illumination Independence,
ECCV02(III: 255 ff.).
HTML Version. 0205Texture classification. Clustered filter responses. Compared to: Leung and Malik ( See also Representing and Recognizing the Visual Appearance of Materials using Three-dimensional Textons. ), Schmid ( See also Constructing Models for Content-Based Image Retrieval. ) and Cula and Dana ( See also 3D Texture Recognition Using Bidirectional Feature Histograms. ), BibRef

Varma, M.[Manik], Zisserman, A.[Andrew],
Unifying statistical texture classification frameworks,
IVC(22), No. 14, 1 December 2004, pp. 1175-1183.
WWW Version. 0412 BibRef

Chantler, M.J., Petrou, M., Penirsche, A., Schmidt, M., McGunnigle, G.,
Classifying Surface Texture while Simultaneously Estimating Illumination Direction,
IJCV(62), No. 1-2, April-May 2005, pp. 83-96.
WWW Version. 0411 BibRef

Penirsche, A., Chantler, M.J., Petrou, M.,
Illuminant Rotation Invariant Classification of 3D Surface Textures using Lissajous`s Ellipses,
Texture02(103-108). 0207 BibRef

Chantler, M.J., Schmidt, M., Petrou, M., McGunnigle, G.,
The Effect of Illuminant Rotation on Texture Filters: Lissajous's Ellipses,
ECCV02(III: 289 ff.).
HTML Version. 0205 BibRef

Gluckman, J.[Joshua],
Visually Distinct Patterns with Matching Subband Statistics,
PAMI(27), No. 2, February 2005, pp. 252-264.
IEEE Abstract. IEEE Top Reference. 0501 BibRef
Earlier:
On the use of marginal statistics of subband images,
ICCV03(448-455).
WWW Version. 0311Analyze ability of various filters to distinguish different stimuli. When statistics are the same. BibRef

Knutsson, H.[Hans], Andersson, M.[Mats],
Implications of invariance and uncertainty for local structure analysis filter sets,
SP:IC(20), No. 6, July 2005, pp. 569-581.
WWW Version. 0506 BibRef

Campisi, P.[Patrizio], Colonnese, S.[Stefania], Panci, G.[Gianpiero], Scarano, G.[Gaetano],
Reduced Complexity Rotation Invariant Texture Classification Using a Blind Deconvolution Approach,
PAMI(28), No. 1, January 2006, pp. 145-149.
WWW Version. 0512Features computed from one-dimensional slices extracted from the two-dimensional autocorrelation function (ACF) of the binary excitation allows representing the texture for rotation-invariant classification. BibRef

Bocher, P.K., McCloy, K.R.,
The Fundamentals of Average Local Variance: Part I: Detecting Regular Patterns,
IP(15), No. 2, February 2006, pp. 300-310.
WWW Version. 0602Mean and StDev of 3X3 window. BibRef

Bocher, P.K., McCloy, K.R.,
The Fundamentals of Average Local Variance: Part II: Sampling Simple Regular Patterns With Optical Imagery,
IP(15), No. 2, February 2006, pp. 311-318.
WWW Version. 0602 BibRef

Petrou, M., Piroddi, R., Talebpour, A.,
Texture recognition from sparsely and irregularly sampled data,
CVIU(102), No. 1, April 2006, pp. 95-104.
WWW Version. Texture classification; Irregularly sampled data; Trace transform 0604 BibRef

Kadyrov, A., Talebpour, A., Petrou, M.,
Texture classification with thousands of features,
BMVC02(Poster Session). 0208 BibRef

Brox, T.[Thomas], Weickert, J.[Joachim],
A TV flow based local scale estimate and its application to texture discrimination,
JVCIR(17), No. 5, October 2006, pp. Journal of Visual Communication and Image RepresentationVolume 17, Issue 5, , October 2006, 1053-1073.
WWW Version. 0711 BibRef
Earlier:
A TV Flow Based Local Scale Measure for Texture Discrimination,
ECCV04(Vol II: 578-590).
WWW Version. 0405 See also Nonlinear Matrix Diffusion for Optic Flow Estimation. Scale; Texture; Nonlinear diffusion; Segmentation BibRef

Brox, T.[Thomas], Rousson, M.[Mikaël], Deriche, R.[Rachid], Weickert, J.[Joachim],
Unsupervised Segmentation Incorporating Colour, Texture, and Motion,
CAIP03(353-360).
WWW Version. 0311 BibRef
And: INRIARR-4760, Mars 2003.
HTML Version. 0306 BibRef

Rousson, M.[Mikaël], Brox, T.[Thomas], Deriche, R.[Rachid],
Active Unsupervised Texture Segmentation on a Diffusion Based Feature Space,
CVPR03(II: 699-704).
IEEE Abstract. IEEE Top Reference. 0307 BibRef
And: INRIARR-4695, Janvier 2003.
HTML Version. 0306 BibRef

Tzagkarakis, G., Beferull-Lozano, B., Tsakalides, P.,
Rotation-Invariant Texture Retrieval With Gaussianized Steerable Pyramids,
IP(15), No. 9, August 2006, pp. 2702-2718.
WWW Version. 0608 BibRef

Tzagkarakis, G., Beferull-Lozano, B., Tsakalides, P.,
Rotation-Invariant Texture Retrieval via Signature Alignment Based on Steerable Sub-Gaussian Modeling,
IP(17), No. 7, July 2008, pp. 1212-1225.
WWW Version. 0806 BibRef

Beferull-Lozano, B., Xie, H.[Hua], Orlegi, A.,
Rotation-invariant features based on steerable transforms with an application to distributed image classification,
ICIP03(III: 521-524).
IEEE Abstract. IEEE Top Reference. 0312 BibRef

Cheng, K.O., Law, N.F., Siu, W.C.,
Multiscale directional filter bank with applications to structured and random texture retrieval,
PR(40), No. 4, April 2007, pp. 1182-1194.
WWW Version. 0701Texture characterization; Texture retrieval; Directional filter bank; Multiscale directional filter bank; Rotation-invariant features BibRef

Mellor, M.[Matthew], Hong, B.W.[Byung-Woo], Brady, M.[Michael],
Locally Rotation, Contrast, and Scale Invariant Descriptors for Texture Analysis,
PAMI(30), No. 1, January 2008, pp. 52-61.
WWW Version. 0711New family of filters. BibRef

Wang, M.S.[Ming-Shi], Knoesen, A.[André],
Rotation- and scale-invariant texture features based on spectral moment invariants,
JOSA-A(24), No. 9, September 2007, pp. 2550-2557.
WWW Version. 0801 BibRef

Salzenstein, F.[Fabien], Boudraa, A.O.[Abdel-Ouahab], Cexus, J.C.[Jean-Christophe],
Generalized higher-order nonlinear energy operators,
JOSA-A(24), No. 12, December 2007, pp. 3717-3727.
WWW Version. 0801 BibRef

Quiroga, J.[Julian], Restrepo, A.[Alfredo], Wedefort, L.[Lina], Velasco, M.[Margarita],
On the 2D Teager-Kaiser Operator,
ICIP07(V: 269-272).
WWW Version. 0709TK: a discrete, nonlinear moving window filter to compute energy. BibRef

Muñiz, R.[Rubén], Corrales, J.A.[José Antonio],
An Approach for Extracting Illumination-Independent Texture Features,
ICIAR07(93-104).
WWW Version. 0708 BibRef

Chamorro-Martínez, J., Galán-Perales, E., Prados-Suárez, B., Soto-Hidalgo, J.M.,
Perceptually-Based Functions for Coarseness Textural Feature Representation,
IbPRIA07(I: 579-586).
WWW Version. 0706 BibRef

Vidal-Naquet, M.[Michel], Tanifuji, M.[Manabu],
The effective resolution of correlation filters applied to natural scenes,
BP07(1-6).
WWW Version. 0706 BibRef

Janney, P.[Pranam], Yu, Z.H.[Zheng-Hua],
Invariant Features of Local Textures: A rotation invariant local texture descriptor,
BP07(1-7).
WWW Version. 0706 BibRef

Hussain, A., Rajpoot, N., Rajpoot, K.,
Texture Classification with Ants,
ICIP06(3013-3016). 0610
WWW Version. BibRef

Verzakov, S., Paclík, P., Duin, R.P.W.,
The Tangent Kernel Approach to Illumination-Robust Texture Classification,
SCIA05(1009-1016).
WWW Version. 0506 BibRef

Silva Santos, C., Kogler, J.E., Del Moral Hernandez, E.,
Using Independent Subspace Analysis for Selecting Filters Used in Texture Processing,
ICIP05(I: 465-468).
WWW Version. 0512 BibRef

Van de Wouwer, G., Weyn, B., Van Dyck, D.,
Multiscale, asymmetry signatures for texture analysis,
ICIP04(III: 1517-1520).
WWW Version. 0505 BibRef

Sabri, M., Alirezaie, J.,
Optimized space frequency kernel for texture classification,
ICIP04(III: 1521-1524).
WWW Version. 0505 BibRef

Costantini, R., Menegaz, G., Susstrunk, S.,
A measure for spatial dependence in natural stochastic textures,
ICIP04(III: 1525-1528).
WWW Version. 0505 BibRef

Kang, Y.[Yousun], Morooka, K.[Ken'ichi], Nagahashi, H.[Hiroshi],
Scale Invariant Texture Analysis Using Multi-scale Local Autocorrelation Features,
ScaleSpace05(363-373).
WWW Version. 0505 BibRef

Koroutchev, K.[Kostadin], Dorronsoro, J.R.[José R.],
Factorization of Natural 4X4 Patch Distributions,
SMVP04(165-174).
WWW Version. 0505 BibRef

Cuenca, S.A.,
Texture analysis based on local semicovers,
CIAP03(588-593).
IEEE Abstract. IEEE Top Reference. 0310 BibRef

Liu, X.W.[Xiu-Wen], Cheng, L.[Lei],
Independent filters for texture classification,
ICIP02(III: 113-116).
IEEE Abstract. IEEE Top Reference. 0210 BibRef

Schael, M.,
Invariant Texture Classification Using Group Averaging with Relational Kernel Functions,
Texture02(129-134). 0207 BibRef

Clark, A.A.,
Texture Deconvolution for the Fourier-Based Analysis of Non-Rectangular Regions,
BMVC99(Posters/Demos). BibRef 9900

Heikkinen, K., Vuorimaa, P.,
Computation of two texture features in hardware,
CIAP99(125-129).
WWW Version. 9909 BibRef

Huet, F., Mattioli, J.,
A textural analysis by mathematical morphology transformations: structural opening and top-hat,
ICIP96(III: 49-52).
WWW Version. 9610 BibRef

Jackson, S., Ahuja, N.,
Elliptical Gaussian Filters,
ICPR96(II: 775-779).
WWW Version. 9608(Intel Corporation, USA) BibRef

Ma, W.Y., Manjunath, B.S.,
A Comparison of Wavelet Features for Texture Annotation,
ICIP95(II: 256-259).
WWW Version. 9510
PDF Version. BibRef

Lonnestad, T.,
A new set of texture features based on the Haar transform,
ICPR92(III:676-679).
WWW Version. 9208 BibRef

Lee, H.Y.,
Extraction of Textured Regions in Aerial Imagery,
DARPA83(298-303). BibRef 8300

Laws, K.I.[Kenneth I.],
Rapid Texture Identification,
SPIEConf. Image Processing for Missile Guidance, 1980, pp. 376-380. BibRef 8000

Laws, K.I.[Kenneth I.],
Texture Energy Measures,
DARPAN79(47-51). BibRef 7900 USC Computer VisionIntroduces the texture measures developed in his thesis. See also Textured Image Segmentation. BibRef

Chapter on 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture continues in
Wavelets, Gabor Filters for Texture .