Keith Price Bibliography Filter Approaches to Texture

7.10.7 Filter Approaches to Texture

Chapter Contents (Back)
Textures, Filters. See also Texture Segmentation Using Filters.

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.
WWW Version. 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

Waksman, P.[Peter], Greene, E.[Ernest],
Optical image encoding and comparing using scan autocorrelation,
US_Patent4,745,633, May 17, 1988
WWW Version. BibRef 8805

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. 0401
Structuring of large sets of image operators. For Segmentation. BibRef

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

Shang, C.J.[Chang-Jing], Shen, Q.A.[Qi-Ang],
Rough Feature Selection For Neural Network Based Image Classification,
IJIG(2), No. 4, October 2002, pp. 541-555. 0210
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).
IEEE DOI Link 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.
IEEE DOI Link 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.
IEEE DOI Link BibRef 9609
Earlier: ICPR94(C:35-39).
IEEE DOI Link 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 DOI Link 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.
IEEE DOI Link 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.
IEEE DOI Link 9607
BibRef
Earlier:
Image modeling using inverse filtering criteria with application to texture images,
ICIP94(III: 392-396).
IEEE DOI Link 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.
IEEE DOI Link 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.
IEEE DOI Link 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.
Elsevier DOI Link 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. 0207
BibRef
Earlier: CVPR00(II: 2-9).
IEEE Abstract.
IEEE DOI Link 0005
Identify 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.
Elsevier DOI Link 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. 0310
EMD (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.
Springer DOI Link 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. 0307
BibRef
And:
Classifying Images of Materials: Achieving Viewpoint and Illumination Independence,
ECCV02(III: 255 ff.).
HTML Version. 0205
Texture 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],
A Statistical Approach to Material Classification Using Image Patch Exemplars,
PAMI(31), No. 11, November 2009, pp. 2032-2047.
IEEE DOI Link 0910
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.M.[Joshua M.],
Visually Distinct Patterns with Matching Subband Statistics,
PAMI(27), No. 2, February 2005, pp. 252-264.
IEEE Abstract. 0501
BibRef
Earlier:
On the use of marginal statistics of subband images,
ICCV03(448-455).
IEEE DOI Link 0311
BibRef
And:
Gradient field distributions for the registration of images,
ICIP03(II: 691-694).
IEEE Abstract. 0312
Analyze ability of various filters to distinguish different stimuli. When statistics are the same. BibRef

Kang, Y.[Yousun], Morooka, K.[Ken'ichi], Nagahashi, H.[Hiroshi],
Texture Classification Using Hierarchical Linear Discriminant Space,
IEICE(E88-D), No. 10, October 2005, pp. 2380-2388.
WWW Version. 0510
BibRef
Earlier:
Scale Invariant Texture Analysis Using Multi-scale Local Autocorrelation Features,
ScaleSpace05(363-373).
WWW Version. 0505
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.
IEEE DOI Link 0512
Features 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.
IEEE DOI Link 0602
Mean 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.
IEEE DOI Link 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, 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. 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.
IEEE DOI Link 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.
IEEE DOI Link 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. 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. 0701
Texture 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.
IEEE DOI Link 0711
New 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

Zhou, H.[Hui], Wang, R.S.[Run-Sheng], Wang, C.[Cheng],
A novel extended local-binary-pattern operator for texture analysis,
IS(178), No. 22, November, 2008, pp. 4314-4325.
Elsevier DOI Link 0905
BibRef

Xu, G.L.[Guan-Lei], Wang, X.T.[Xiao-Tong], Xu, X.G.[Xiao-Gang],
Improved bi-dimensional EMD and Hilbert spectrum for the analysis of textures,
PR(42), No. 5, May 2009, pp. 718-734.
Elsevier DOI Link
WWW Version. 0902
Empirical mode decomposition (EMD); Intrinsic mode functions (IMF); Quaternion Hilbert transform; Pseudo extrema BibRef

Xu, G.L.[Guan-Lei], Wang, X.T.[Xiao-Tong], Xu, X.G.[Xiao-Gang],
Improved bi-dimensional empirical mode decomposition based on 2d-assisted signals: analysis and application,
IET-IPR(5), No. 3, June 2011, pp. 205-221.
WWW Version. 1105
BibRef

Guo, Z.H.[Zhen-Hua], Zhang, L.[Lei], Zhang, D.[David],
Rotation invariant texture classification using LBP variance (LBPV) with global matching,
PR(43), No. 3, March 2010, pp. 706-719.
Elsevier DOI Link
WWW Version. 1001
BibRef
Earlier:
Rotation Invariant Texture Classification Using Binary Filter Response Pattern (BFRP),
CAIP09(1130-1137).
Springer DOI Link 0909
Texture classification; Local binary pattern; Rotation invariant; Global matching BibRef

Guo, Z.H.[Zhen-Hua], Zhang, L.[Lei], Zhang, D.[David], Zhang, S.[Su],
Rotation invariant texture classification using adaptive LBP with directional statistical features,
ICIP10(285-288).
IEEE DOI Link 1009
BibRef

Guo, Z.H.[Zhen-Hua], Zhang, L.[Lei], Zhang, D.[David], Mou, X.[Xuanqin],
Hierarchical multiscale LBP for face and palmprint recognition,
ICIP10(4521-4524).
IEEE DOI Link 1009
BibRef

Zhang, L.[Lin], Zhang, L.[Lei], Guo, Z.H.[Zhen-Hua], Zhang, D.[David],
Monogenic-LBP: A new approach for rotation invariant texture classification,
ICIP10(2677-2680).
IEEE DOI Link 1009
BibRef

Guo, Z.H.[Zhen-Hua], Zhang, L.[Lei], Zhang, D.[David],
A Completed Modeling of Local Binary Pattern Operator for Texture Classification,
IP(19), No. 6, June 2010, pp. 1657-1663.
IEEE DOI Link 1006
BibRef

Pu, Y.F., Zhou, J.L., Yuan, X.,
Fractional Differential Mask: A Fractional Differential-Based Approach for Multiscale Texture Enhancement,
IP(19), No. 2, February 2010, pp. 491-511.
IEEE DOI Link 1002
BibRef

Janney, P.[Pranam], Geers, G.,
Texture classification using invariant features of local textures,
IET-IPR(4), No. 3, June 2010, pp. 158-171.
WWW Version. 1006
BibRef

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

Bianconi, F.[Francesco], Fernández, A.[Antonio],
On the Occurrence Probability of Local Binary Patterns: A Theoretical Study,
JMIV(40), No. 3, July 2011, pp. 259-268.
WWW Version. 1103
BibRef

Maurel, P.[Pierre], Aujol, J.F.[Jean-François], Peyré, G.[Gabriel],
Locally Parallel Texture Modeling,
SIIMS(4), No. 1, 2011, pp. 413-447.
WWW Version.
WWW Version. 1106
BibRef
Earlier:
Locally Parallel Textures Modeling with Adapted Hilbert Spaces,
EMMCVPR09(429-442).
Springer DOI Link 0908
locally parallel textures; image decomposition; inpainting; total variation; curvelets; cartoon image BibRef

Tsai, Y.T.[Yu-Ting], Fang, K.L.[Kuei-Li], Lin, W.C.[Wen-Chieh], Shih, Z.C.[Zen-Chung],
Modeling Bidirectional Texture Functions with Multivariate Spherical Radial Basis Functions,
PAMI(33), No. 7, July 2011, pp. 1356-1369.
IEEE DOI Link 1106
SRBFs and optimized parameterization. BibRef

Restrepo, A.[Alfredo], Quiroga, J.[Julián],
Root and pre-constant signals of the 1D Teager-Kaiser operator,
SIViP(5), No. 3, September 2011, pp. 363-378.
WWW Version. 1109
BibRef

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

Xiao, J.W.[Jin-Wei], Wu, G.S.[Gang-Shan],
A Robust and Compact Descriptor Based on Center-Symmetric LBP,
ICIG11(388-393).
IEEE DOI Link 1109
local binary pattern for texture. BibRef

Sadat, R.M.N.[Rafi M. Najmus], Teng, S.W.[Shyh Wei], Lu, G.J.[Guo-Jun], Hasan, S.F.[Sheikh Faridul],
Texture classification using multimodal Invariant Local Binary Pattern,
WACV11(315-320).
IEEE DOI Link 1101
BibRef