7.10.7.2 Wavelets, Gabor Filters for Texture

Chapter Contents (Back)
Gabor Filter. Wavelets, Texture. Textures, Filters. See also Gabor Filters -- General.

Bastiaans, M.J.,
Gabor's Expansion of a Signal into Gaussian Elementary Signals,
PIEEE(68), 1980, pp. 538-539. BibRef 8000

Fogel, I., and Sagi, D.,
Gabor Filters as Texture Discriminator,
BioCyber(61), 1989, pp. 102-113. Gabor Filter. BibRef 8900

Bovik, A.C., Clark, M., and Geisler, W.S.,
Multichannel Texture Analysis Using Localized Spatial Filters,
PAMI(12), No. 1, January 1990, pp. 55-73.
IEEE DOI Gabor Filter. Uses Gabor Filters. BibRef 9001

Pichler, O., Teuner, A., Hosticka, B.J.,
A Comparison of Texture Feature-Extraction Using Adaptive Gabor Filtering, Pyramidal and Tree-Structured Wavelet Transforms,
PR(29), No. 5, May 1996, pp. 733-742.
WWW Link. 9605
Wavelets. See also Adaptive Gabor Transformation for Image Processing. BibRef

du Buf, J.M.H., Heitkemper, P.,
Texture Features Based on Gabor Phase,
SP(23), No. 3, 1991, pp. 227-244. BibRef 9100

du Buf, J.M.H.,
Gabor Phase in Texture Discrimination,
SP(21), No. 3, November 1990, pp. 221-240. BibRef 9011

du Buf, J.M.H.,
Modeling Spatial Vision at the Threshold Level,
SV(6), No. 1, 1992, pp. 25-60. BibRef 9200

du Buf, J.M.H.,
Abstract Processes in Texture Discrimination,
SV(6), No. 3, 1992, pp. 221-242. BibRef 9200

du Buf, J.M.H.,
Improved grating and bar cell models in cortical area V1 and texture coding,
IVC(25), No. 6, 1 June 2007, pp. 873-882.
WWW Link. 0704
Cortical cells; Groupings; Computational models; Diatoms; Texture analysis; Symmetry order BibRef

Bigün, J., and du Buf, J.M.H.,
N-Folded Symmetries by Complex Moments in Gabor Space and Their Application to Unsupervised Texture Segmentation,
PAMI(16), No. 1, January 1994, pp. 80-87.
IEEE DOI BibRef 9401

Bigun, J., du Buf, J.M.H.[J.M. Hans],
Geometric image primitives by complex moments in Gabor space and the application to texture segmentation,
CVPR92(648-650).
IEEE DOI 0403
BibRef

Bigün, J., and du Buf, J.M.H.,
Symmetry Interpretation of Complex Moments and the Local Power Spectrum,
JVCIR(6), 1995, pp. 154-163. BibRef 9500

Karlsson, S.[Stefan], Bigun, J.[Josef],
Multiscale complex moments of the local power spectrum,
JOSA-A(24), No. 3, March 2007, pp. 618-625.
WWW Link. 0801
BibRef

Henke-Reed, M.B.,
Cloth Texture Classification Using Wavelet Transform,
JIST(37), No. 6, 1993, pp. 610-614. BibRef 9300

Chang, T., Kuo, C.C.J.,
Texture Analysis and Classification with Tree-Structured Wavelet Transform,
IP(2), No. 4, October 1993, pp. 429-441.
IEEE DOI BibRef 9310
And:
Texture classification with tree-structured wavelet transform,
ICPR92(II:256-259).
IEEE DOI 9208
BibRef
And:
Tree-Structured Wavelet Transform for Textured Image Segmentation,
SPIE(1770), 1992, pp. 394-405. Wavelets. BibRef

Laine, A., and Fan, J.,
Texture Classification by Wavelet Packet Signatures,
PAMI(15), No. 11, November 1993, pp. 1186-1191.
IEEE DOI BibRef 9311

Laine, A., Fan, J.[Jian],
Frame representations for texture segmentation,
IP(5), No. 5, May 1996, pp. 771-780.
IEEE DOI 0402
BibRef

Dunn, D.F., Higgins, W.E., and Wakeley, J.,
Texture Segmentation Using 2-D Gabor Elementary Functions,
PAMI(16), No. 2, February 1994, pp. 130-149.
IEEE DOI Segmentation, Texture. BibRef 9402

Weldon, T.P., Higgins, W.E., Dunn, D.F.,
Gabor Filter Design for Multiple Texture Segmentation,
OptEng(35), No. 10, October 1996, pp. 2852-2863. 9611
BibRef

Weldon, T.P., Higgins, W.E., Dunn, D.F.,
Efficient Gabor Filter Design for Texture Segmentation,
PR(29), No. 12, December 1996, pp. 2005-2015.
WWW Link. 9701
BibRef

Weldon, T.P.[Thomas P.], Higgins, W.E.,
Designing Multiple Gabor Filters for Multi-Texture Image Segmentation,
OptEng(35), No. 10, October 1996, pp. 2852-2863. BibRef 9610
Earlier:
Integrated Approach to Texture Segmentation Using Multiple Gabor Filters,
ICIP96(III: 955-958).
IEEE DOI BibRef
Earlier:
Multiscale Rician approach to Gabor filter design for texture segmentation,
ICIP94(II: 620-624).
IEEE DOI 9411
Bayesian Classifier. BibRef

Weldon, T.P., Higgins, W.E.,
An algorithm for designing multiple Gabor filters for segmenting multi-textured images,
ICIP98(III: 333-337).
IEEE DOI 9810
BibRef

Dunn, D.F., Higgins, W.E.,
Optimal Gabor Filters for Texture Segmentation,
IP(4), No. 7, July 1995, pp. 947-964.
IEEE DOI BibRef 9507

Unser, M.,
Texture Classification and Segmentation Using Wavelet Frames,
IP(4), No. 11, November 1995, pp. 1549-1560.
IEEE DOI BibRef 9511
Earlier:
Texture Discrimination Using Wavelets,
CVPR93(640-641).
IEEE DOI BibRef

Teuner, A., Pichler, O., Hosticka, B.J.,
Unsupervised Texture Segmentation of Images Using Tuned Matched Gabor Filters,
IP(4), No. 6, June 1995, pp. 863-870.
IEEE DOI Segmentation, Texture. BibRef 9506

Jain, A.K., Farrokhnia, F.,
Unsupervised Texture Segmentation Using Gabor Filters,
PR(24), No. 12, 1991, pp. 1167-1186.
WWW Link. Segmentation, Texture. BibRef 9100

Farrokhnia, F., and Jain, A.K.,
A Multi-Channel Filtering Approach to Texture Segmentation,
CVPR91(364-370).
IEEE DOI BibRef 9100

Ravichandran, G., Trivedi, M.M.,
Circular-Mellin features for texture segmentation,
IP(4), No. 12, December 1995, pp. 1629-1640.
IEEE DOI 0402
BibRef

Ravichandran, G., and Trivedi, M.M.,
Gabor vs. Circular Mellin Fuction Based Approaches for Texture Segmentation,
SPIE(2223), Characterization and Propagation of Sources and Backgrounds IV, Orlando, FL, April 6-7, 1994. BibRef 9404
Earlier:
Development of Distortion-Invariant Texture Operators,
SPIE(1957), April 1993, pp. xx. Gabor Filter. BibRef

Greiner, T.,
Orthogonal and Biorthogonal Texture-Matched Wavelet Filterbanks for Hierarchical Texture Analysis,
SP(54), No. 1, October 1996, pp. 1-22. 9611
BibRef

Jasper, W.J., Garnier, S.J., Potlapalli, H.,
Texture Characterization and Defect Detection Using Adaptive Wavelets,
OptEng(35), No. 11, November 1996, pp. 3140-3149. 9612
BibRef

Raghu, P.P., Yegnanarayana, B.,
Segmentation of Gabor-Filtered Textures Using Deterministic Relaxation,
IP(5), No. 12, December 1996, pp. 1625-1636.
IEEE DOI 9701
BibRef

Clark, M., Bovik, A.C., Geisler, W.S.,
Texture Segmentation Using Gabor Modulation/Demodulation,
PRL(6), 1987, pp. 261-267. BibRef 8700

Porter, R., Canagarajah, N.,
Robust Relation-Invariant Texture Classification: Wavelet, Gabor Filter and GMRF Based Schemes,
VISP(144), No. 3, June 1997, pp. 180-188. 9708
BibRef

Hill, P.R., Canagarajah, C.N.[C. Nishan], Bull, D.R.[David R.],
Rotationally Invariant Texture Based Features,
ICIP01(II: 141-144).
IEEE DOI 0108
BibRef
Earlier: A1, A3, A2:
Rotationally Invariant Texture Features Using the Dual-tree Complex Wavelet Transform,
ICIP00(Vol III: 901-904).
IEEE DOI 0008
BibRef
Earlier: A1, A2, A3:
Statistical Wavelet Subband Modelling for Texture Classification,
ICIP01(I: 165-168).
IEEE DOI 0108
BibRef

Anantrasirichai, N., Burn, J., Bull, D.R.[David R.],
Robust texture features based on undecimated dual-tree complex wavelets and local magnitude binary patterns,
ICIP15(3957-3961)
IEEE DOI 1512
BibRef
Earlier:
Robust texture features for blurred images using Undecimated Dual-Tree Complex Wavelets,
ICIP14(5696-5700)
IEEE DOI 1502
LBP. Accuracy BibRef

Hill, P.R.[Paul R.], Achim, A.[Alin], Al-Mualla, M.E., Bull, D.R.,
Contrast Sensitivity of the Wavelet, Dual Tree Complex Wavelet, Curvelet, and Steerable Pyramid Transforms,
IP(25), No. 6, June 2016, pp. 2739-2751.
IEEE DOI 1605
Discrete wavelet transforms BibRef

Hill, P.R.[Paul R.], Anantrasirichai, N., Achim, A.[Alin], Al-Mualla, M.E., Bull, D.R.[David R.],
Undecimated Dual-Tree Complex Wavelet Transforms,
SP:IC(35), No. 0, 2015, pp. 61-70.
Elsevier DOI 1506
BibRef
Earlier: A1, A3, A5, Only:
The Undecimated Dual Tree Complex Wavelet Transform and its application to bivariate image denoising using a Cauchy model,
ICIP12(1205-1208).
IEEE DOI 1302
Discrete Wavelet Transforms BibRef

Wang, J., Naghdy, G., Ogunbona, P.,
Wavelet Based Feature-Adaptive Adaptive Resonance Theory Neural Network for Texture Identification,
JEI(6), No. 3, July 1997, pp. 329-336. 9807
BibRef

Wang, J.W., Chen, C.H., Pan, J.S.,
Genetic Feature-Selection for Texture Classification Using 2-D Nonseparable Wavelet Bases,
IEICE(E81-A), No. 8, August 1998, pp. 1635-1644. 9809
BibRef

Liao, B.Y., Pan, J.S., Wang, J.W., Hon, L.,
2-D Non-separable Wavelet Bases for Texture Classification with Genetic Feature Selection,
MVA98(xx-yy). BibRef 9800

Wang, J.W.[Jing-Wein], Chen, C.H.[Chin-Hsing], Chien, W.M.[Wei-Ming], Tsai, C.M.[Chih-Ming],
Texture classification using non-separable two-dimensional wavelets,
PRL(19), No. 13, November 1998, pp. 1225-1234. BibRef 9811

Wang, J.W.[Jing-Wein],
Self-Eigenroughness Selection for Texture Recognition Using Genetic Algorithms,
ACIVS07(849-854).
Springer DOI 0708
BibRef

Zhang, J., Wang, D., Tran, Q.N.,
A Wavelet-based Multiresolution Statistical Model for Texture,
IP(7), No. 11, November 1998, pp. 1621-1627.
IEEE DOI BibRef 9811

Chitre, Y.[Yateen], Dhawan, A.P.[Atam P.],
M-band wavelet discrimination of natural textures,
PR(32), No. 5, May 1999, pp. 773-789.
WWW Link. BibRef 9905

van de Wouwer, G., Scheunders, P., van Dyck, D.,
Statistical Texture Characterization from Discrete Wavelet Representations,
IP(8), No. 4, April 1999, pp. 592-598.
IEEE DOI BibRef 9904

van de Wouwer, G., Scheunders, P., Livens, S., van Dyck, D.,
Wavelet correlation signatures for color texture characterization,
PR(32), No. 3, March 1999, pp. 443-451.
WWW Link. BibRef 9903
Earlier: A1, A3, A2, A4:
Color texture classification by wavelet energy correlation signatures,
CIAP97(I: 327-334).
Springer DOI 9709
BibRef

van de Wouwer, G.[Gert], Scheunders, P.[Paul], van Dyck, D.,
Rotation-Invariant Texture Characterization Using Isotropic Wavelet Frames,
ICPR98(Vol I: 814-816).
IEEE DOI 9808
BibRef

Kruizinga, P.[Peter], Petkov, N.[Nikolay],
Nonlinear Operator for Oriented Texture,
IP(8), No. 10, October 1999, pp. 1395-1407.
IEEE DOI
PDF File. BibRef 9910
Earlier:
Grating Cell Operator Features for Oriented Texture Segmentation,
ICPR98(Vol II: 1010-1014).
IEEE DOI 9808
Visual cortex, grating cells. BibRef

Kruizinga, P., Petkov, N.,
A Nonlinear Texture Operator Specialized in the Analysis of Dot-patterns,
ICPR00(Vol I: 197-201).
IEEE DOI 0009
BibRef

Petkov, N., and Kruizinga, P.,
Computational models of visual neurons specialised in the detection of periodic and aperiodic oriented visual stimuli: bar and grating cells,
BioCyber(76), No. 2, 1997, pp. 83-96.
PDF File. See also Suppression of contour perception by band-limited noise and its relation to non-classical receptive field inhibition. BibRef 9700

Petkov, N.,
Biologically motivated computationally intensive approaches to image pattern recognition,
FGCS(11), No. 4-5, 1995, pp. 451-465.
PDF File. BibRef 9500

Haley, G.M., Manjunath, B.S.,
Rotation-Invariant Texture Classification Using a Complete Space-Frequency Model,
IP(8), No. 2, February 1999, pp. 255-269.
IEEE DOI
PDF File. BibRef 9902
Earlier:
Rotation Invariant Texture Classification Using the Modified Gabor Filters,
ICIP95(I: 262-265).
IEEE DOI
PDF File. 9510
BibRef

Ma, W.Y., Manjunath, B.S.,
Texture Features and Learning Similarity,
CVPR96(425-430).
IEEE DOI Gabor filters.
PDF File. BibRef 9600

Clausi, D.A.[David A.], Jernigan, M.E.[M. Ed],
Designing Gabor filters for optimal texture separability,
PR(33), No. 11, November 2000, pp. 1835-1849.
WWW Link. 0011
BibRef

Portilla, J.[Javier], Simoncelli, E.P.[Eero P.],
A Parametric Texture Model Based on Joint Statistics of Complex Wavelet Coefficients,
IJCV(40), No. 1, October 2000, pp. 49-70.
DOI Link 0101

HTML Version. BibRef
Earlier:
Texture Modeling and Synthesis using Joint Statistics of Complex Wavelet Coefficients,
SCTV99(xx-yy)
HTML Version. BibRef

Simoncelli, E.P., and Portilla, J.,
Texture Characterization via Joint Statistics of Wavelet Coefficient Magnitudes,
ICIP98(I: 62-66).
IEEE DOI 9810
Steerable pyramid.
HTML Version. And full paper:
PS File. BibRef

Simoncelli, E.P.,
Statistical Models for Images: Compression, Restoration and Synthesis,
Asilomar97(xx).
HTML Version. and full paper:
PS File. BibRef 9700

Simoncelli, E.P.[Eero P.],
A Rotation Invariant Pattern Signature,
ICIP96(III: 185-188).
IEEE DOI (And see the related papers under wavelets.)
HTML Version. and the full paper:
PS File. BibRef 9600

Angel, P.[Paul], Morris, C.[Colin],
Analyzing the Mallat Wavelet Transform to Delineate Contour and Textural Features,
CVIU(80), No. 3, December 2000, pp. 267-288.
DOI Link 0012
BibRef

Tsai, D.M.[Du-Ming], Wu, S.K.[Song-Kuaw], Chen, M.C.[Mu-Chen],
Optimal Gabor filter design for texture segmentation using stochastic optimization,
IVC(19), No. 5, 1 April 2001, pp. 299-316.
WWW Link. 0102
BibRef

Acharyya, M.[Mausumi], Kundu, M.K.[Malay K.],
An adaptive approach to unsupervised texture segmentation using M-Band wavelet transform,
SP(81), No. 7, July 2001, pp. 1337-1356.
WWW Link. 0110
BibRef
Earlier:
Wavelet-based texture segmentation of remotely sensed images,
CIAP01(69-74).
WWW Link. 0210
BibRef
And:
Adaptive Basis Selection for Multi Texture Segmentation by M-Band Wavelet Packet Frames,
ICIP01(II: 622-625).
IEEE DOI 0108
BibRef
Earlier:
Two Texture Segmentation Using M-band Wavelet Transform,
ICPR00(Vol III: 401-404).
IEEE DOI 0009
See also Document image segmentation using wavelet scale-space features. BibRef

Acharyya, M.[Mausumi], De, R.K.[Rajat K.], Kundu, M.K.[Malay K.],
Extraction of features using M-band wavelet packet frame and their neuro-fuzzy evaluation for multitexture segmentation,
PAMI(25), No. 12, December 2003, pp. 1639-1644.
IEEE Abstract. 0401
BibRef

Acharyya, M.[Mausumi], De, R.K.[Rajat K.], Kundu, M.K.[Malay K.],
Segmentation of remotely sensed images using wavelet features and their evaluation in soft computing framework,
GeoRS(41), No. 12, December 2003, pp. 2900-2905.
IEEE Abstract. 0402
BibRef

Idrissa, M.[Mahamadou], Acheroy, M.[Marc],
Texture classification using Gabor filters,
PRL(23), No. 9, July 2002, pp. 1095-1102.
Elsevier DOI 0205
BibRef

Pun, C.M., Lee, M.C.,
Rotation-invariant texture classification using a two-stage wavelet packet feature approach,
VISP(148), No. 6, December 2001, pp. 422-428.
IEEE Top Reference. 0203
BibRef

Pun, C.M.[Chi-Man],
Rotation-invariant texture feature for image retrieval,
CVIU(89), No. 1, January 2003, pp. 24-43.
WWW Link. 0301
BibRef

Pun, C.M.[Chi-Man], Lee, M.C.[Moon-Chuen],
Log-polar wavelet energy signatures for rotation and scale invariant texture classification,
PAMI(25), No. 5, May 2003, pp. 590-603.
IEEE Abstract. 0304
BibRef

Kasparis, T., Charalampidis, D., Georgiopoulos, M., Rolland, J.,
Segmentation of textured images based on fractals and image filtering,
PR(34), No. 10, October 2001, pp. 1963-1973.
WWW Link. 0108
BibRef

Kuruoglu, E.E.[Ercan E.], Zerubia, J.B.[Josiane B.],
Skewed α-stable distributions for modelling textures,
PRL(24), No. 1-3, January 2003, pp. 339-348.
Elsevier DOI 0211
BibRef

Kayabol, K., Kuruoglu, E.E., Sankur, B.,
Bayesian Separation of Images Modeled With MRFs Using MCMC,
IP(18), No. 5, May 2009, pp. 982-994.
IEEE DOI 0904
See also Adaptive Langevin Sampler for Separation of t-Distribution Modelled Astrophysical Maps. BibRef

Brady, K.[Karen], Jermyn, I.H.[Ian H.], Zerubia, J.B.[Josiane B.],
Adaptive Probabilistic Models of Wavelet Packets for the Analysis and Segmentation of Textured Remote Sensing Images,
BMVC03(xx-yy).
HTML Version. 0409
BibRef
And:
Texture analysis: an adaptive probabilistic approach,
ICIP03(II: 1045-1048).
IEEE DOI 0312
BibRef
And:
A Probabilistic Framework for Adaptive Texture Description,
INRIARR-4920, 2003.
HTML Version. BibRef

Abhayaratne, G.C.K., Jermyn, I.H., Zerubia, J.B.,
Texture-Adaptive Mother Wavelet Selection for Texture Analysis,
ICIP05(II: 1290-1293).
IEEE DOI 0512
BibRef
Earlier:
Texture analysis using adaptive biorthogonal wavelet packets,
ICIP04(II: 1197-1200).
IEEE DOI 0505
BibRef

Cossu, R., Jermyn, I.H., Zerubia, J.B.,
Texture discrimination using multimodal wavelet packet subbands,
ICIP04(III: 1493-1496).
IEEE DOI 0505
BibRef

Charalampidis, D., Kasparis, T.,
Wavelet-based rotational invariant roughness features for texture classification and segmentation,
IP(11), No. 8, August 2002, pp. 825-837.
IEEE DOI 0209
BibRef

Grigorescu, S.E., Petkov, N., Kruizinga, P.,
Comparison of texture features based on Gabor filters,
IP(11), No. 10, October 2002, pp. 1160-1167.
IEEE DOI
PDF File. 0211
BibRef
Earlier: A3, A2, A1: CIAP99(142-147).
IEEE DOI
PDF File. BibRef
And:
A Comparative Study of Filter Based Texture Operators Using Mahalanobis Distance,
ICPR00(Vol III: 885-888).
IEEE DOI 0009
classification, texture, discrimination, features, Fisher criterion, Gabor energy, Gabor filter, grating cell, local power spectrum, segmentation BibRef

Grigorescu, S.E., Petkov, N.,
Texture analysis using Renyi's generalized entropies,
ICIP03(I: 241-244).
IEEE DOI 0312
BibRef

Manthalkar, R.[Ramchandra], Biswas, P.K., Chatterji, B.N.,
Rotation invariant texture classification using even symmetric Gabor filters,
PRL(24), No. 12, August 2003, pp. 2061-2068.
WWW Link. 0304
BibRef
Earlier:
Rotation and Scale Invariant Texture Classification using Gabor Wavelets,
Texture02(87-90). 0207
BibRef

Manthalkar, R., Biswas, P.K., Chatterji, B.N.,
Rotation and scale invariant texture features using discrete wavelet packet transform,
PRL(24), No. 14, October 2003, pp. 2455-2462.
WWW Link. 0307
BibRef

Arivazhagan, S., Ganesan, L.,
Texture classification using wavelet transform,
PRL(24), No. 9-10, June 2003, pp. 1513-1521.
WWW Link. 0304
BibRef

Arivazhagan, S., Ganesan, L.,
Texture segmentation using wavelet transform,
PRL(24), No. 16, December 2003, pp. 3197-3203.
WWW Link. 0310
BibRef

Arivazhagan, S., Ganesan, L., Kumar, T.G.S.[T.G. Subash],
Texture classification using ridgelet transform,
PRL(27), No. 16, December 2006, pp. 1875-1883.
WWW Link. 0611
BibRef
Earlier:
Texture classification using Curvelet Statistical and Co-occurrence Features,
ICPR06(II: 938-941).
IEEE DOI 0609
Ridgelet transform; Radon transform; Texture classification; Co-occurrence features See also Fault segmentation in fabric images using Gabor wavelet transform. BibRef

Arivazhagan, S., Ganesan, L., Kumar, T.G.S.[T. G. Subash],
A modified statistical approach for image fusion using wavelet transform,
SIViP(3), No. 2, June 2009, pp. xx-yy.
Springer DOI 0903
BibRef

Arivazhagan, S., Ganesan, L.,
Texture Characterization Using Wsfs And Wcfs,
IJIG(9), No. 1, January 2009, pp. 77-100. 0903
BibRef

Vasuki, S., Ganesan, L.,
An Efficient Approach To Color Image Segmentation Using Intermediate Features Of Maximum Overlap Wavelet Transform In Peak Finding Algorithm,
IJIG(9), No. 1, January 2009, pp. 67-76. 0903
BibRef

Kyrki, V.[Ville], Kamarainen, J.K.[Joni-Kristian], Kälviäinen, H.[Heikki],
Simple Gabor feature space for invariant object recognition,
PRL(25), No. 3, February 2004, pp. 311-318.
WWW Link. 0401
BibRef

Kamarainen, J.K.[Joni-Kristian], Kyrki, V.[Ville], Kälviäinen, H.[Heikki],
Invariance Properties of Gabor Filter-Based Features: Overview and Applications,
IP(15), No. 5, May 2006, pp. 1088-1099.
IEEE DOI 0605
BibRef
Earlier:
Fundamental frequency gabor filters for object recognition,
ICPR02(I: 628-631).
IEEE DOI 0211
BibRef

Aujol, J.F.[Jean-François], Aubert, G.[Gilles], Blanc-Féraud, L.[Laure],
Wavelet-based level set evolution for classification of textured images,
IP(12), No. 12, December 2003, pp. 1634-1641.
IEEE DOI 0402
BibRef
Earlier: ICIP03(II: 1041-1044).
IEEE DOI 0312
BibRef

Aubert, G.[Gilles], Aujol, J.F.[Jean-François], Blanc-Féraud, L.[Laure],
Detecting Codimension: Two Objects in an Image with Ginzburg-Landau Models,
IJCV(65), No. 1-2, November 2005, pp. 29-42.
Springer DOI 0604
BibRef

Pun, C.M.[Chi-Man], Lee, M.C.[Moon-Chuen],
Extraction of Shift Invariant Wavelet Features for Classification of Images with Different Sizes,
PAMI(26), No. 9, September 2004, pp. 1228-1233.
IEEE Abstract. 0409
Texture with shifts and size changes. BibRef

Muneeswaran, K., Ganesan, L., Arumugam, S., Soundar, K.R.[K. Ruba],
Texture classification with combined rotation and scale invariant wavelet features,
PR(38), No. 10, October 2005, pp. 1495-1506.
WWW Link. 0508
BibRef

Muneeswaran, K., Ganesan, L., Arumugam, S., Soundar, K.R.[K. Ruba],
Texture image segmentation using combined features from spatial and spectral distribution,
PRL(27), No. 7, May 2006, pp. 755-764.
WWW Link. 0604
Texture segmentation; Spectral histogram BibRef

Arivazhagan, S., Ganesan, L., Priyal, S.P.[S. Padam],
Texture classification using Gabor wavelets based rotation invariant features,
PRL(27), No. 16, December 2006, pp. 1976-1982.
WWW Link. 0611
Texture classification; Gabor wavelets; Rotation invariant features BibRef

Chen, L.[Ling], Man, H.[Hong],
Hybrid IMM/SVM Approach for Wavelet-Domain Probabilistic Model Based Texture Classification,
VISP(152), No. 6, December 2005, pp. 724-730.
DOI Link 0512
BibRef
Earlier: WACV05(I: 281-286).
IEEE DOI 0502
BibRef

Chen, L.[Ling], Man, H.[Hong],
A fast procedure for the computation of similarities between gaussian HMMS,
ICIP04(III: 1513-1516).
IEEE DOI 0505
BibRef

Fahmy, G., Black, J., Panchanathan, S.,
Texture Characterization for Joint Compression and Classification Based on Human Perception in the Wavelet Domain,
IP(15), No. 6, June 2006, pp. 1389-1396.
IEEE DOI 0606
BibRef

Kim, S.C.[Soo Chang], Kang, T.J.[Tae Jin],
Texture classification and segmentation using wavelet packet frame and Gaussian mixture model,
PR(40), No. 4, April 2007, pp. 1207-1221.
WWW Link. 0701
Texture classification; Texture segmentation; Wavelet packet frame; Gaussian mixture model; Kullback-Leibler divergence; Fabric defect detection BibRef

Kim, S.C.[Soo Chang], Kang, T.J.[Tae Jin],
Automated defect detection system using wavelet packet frame and Gaussian mixture model,
JOSA-A(23), No. 11, November 2006, pp. 2690-2701.
WWW Link. 0801
BibRef

Kalliomäki, I.[Ilkka], Lampinen, J.[Jouko],
On steerability of Gabor-type filters for feature detection,
PRL(28), No. 8, 1 June 2007, pp. 904-911.
WWW Link. 0704
BibRef
Earlier:
Approximate Steerability of Gabor Filters for Feature Detection,
SCIA05(940-949).
Springer DOI 0506
Feature detection; Gabor filters; Steerable filters BibRef

Ramakrishnan, S.[Srinivasan], Selvan, S.[Srinivasan],
Image texture classification using wavelet based curve fitting and probabilistic neural network,
IJIST(17), No. 4, 2007, pp. 266-275.
DOI Link 0712
BibRef

Selvan, S.[Srinivasan], Ramakrishnan, S.[Srinivasan],
SVD-Based Modeling for Image Texture Classification Using Wavelet Transformation,
IP(16), No. 11, November 2007, pp. 2688-2696.
IEEE DOI 0709
See also Comments on SVD-Based Modeling for Image Texture Classification Using Wavelet Transform. BibRef

Li, M.[Ma], Staunton, R.C.,
Optimum Gabor filter design and local binary patterns for texture segmentation,
PRL(29), No. 5, 1 April 2008, pp. 664-672.
WWW Link. 0802
Texture segmentation; Gabor filter; Local binary pattern; K-nearest neighbor; Immune genetic algorithm BibRef

Wang, Z.Z., Yong, J.H.,
Texture Analysis and Classification With Linear Regression Model Based on Wavelet Transform,
IP(17), No. 8, August 2008, pp. 1421-1430.
IEEE DOI 0808
BibRef

Masotti, M.[Matteo], Campanini, R.[Renato],
Texture classification using invariant ranklet features,
PRL(29), No. 14, October 2008, pp. 1980-1986.
WWW Link. 0804
Ranklets; Support vector machine; Texture; Brodatz; VisTex BibRef

Kwitt, R.[Roland], Uhl, A.[Andreas],
Lightweight Probabilistic Texture Retrieval,
IP(19), No. 1, January 2010, pp. 241-253.
IEEE DOI 1001
BibRef
Earlier:
Image similarity measurement by Kullback-Leibler divergences between complex wavelet subband statistics for texture retrieval,
ICIP08(933-936).
IEEE DOI 0810
BibRef

Kwitt, R.[Roland], Meerwald, P., Uhl, A.[Andreas],
Efficient Texture Image Retrieval Using Copulas in a Bayesian Framework,
IP(20), No. 7, July 2011, pp. 2063-2077.
IEEE DOI 1107
BibRef

Qiao, Y.L.[Yu-Long], Song, C.Y.[Chun-Yan], Zhao, C.H.[Chun-Hui],
M-band ridgelet transform based texture classification,
PRL(31), No. 3, 1 February 2010, pp. 244-249.
Elsevier DOI 1001
M-band ridgelet; Texture classification; M-band wavelet BibRef

Vo, A.[An], Oraintara, S.[Soontorn],
A study of relative phase in complex wavelet domain: Property, statistics and applications in texture image retrieval and segmentation,
SP:IC(25), No. 1, January 2010, pp. 28-46.
Elsevier DOI 1001
Relative phase; Statistics of relative phase; Pdf of relative phase; Statistical image modeling; Von Mises distribution; Wrapped Cauchy distribution; Pyramidal dual-tree directional filter bank; Dual-tree complex wavelet transform; Uniform discrete curvelet transform; Texture image retrieval; Texture segmentation BibRef

Yuan, H., Zhang, X.P.,
Statistical Modeling in the Wavelet Domain for Compact Feature Extraction and Similarity Measure of Images,
CirSysVideo(20), No. 3, March 2010, pp. 439-445.
IEEE DOI 1003
BibRef

Lo, E.H.S.[Edward H.S.], Pickering, M.R.[Mark R.], Frater, M.R.[Michael R.], Arnold, J.F.[John F.],
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IVC(29), No. 1, January 2011, pp. 15-28.
Elsevier DOI 1011
BibRef
Earlier:
Query by example using invariant features from the double dyadic dual-tree complex wavelet transform,
CIVR09(Article No 5).
DOI Link 0907
BibRef
Earlier:
Scale and rotation invariant texture features from the dual-tree complex wavelet transform,
ICIP04(I: 227-230).
IEEE DOI 0505
DT-CWT; D3T-CWT; Image segmentation; Scale and rotation invariant texture features BibRef

Rahman, M.H., Pickering, M.R., Frater, M.R.,
Scale and Rotation Invariant Gabor Features for Texture Retrieval,
DICTA11(602-607).
IEEE DOI 1205
BibRef

Dong, Y., Ma, J.,
Wavelet-Based Image Texture Classification Using Local Energy Histograms,
SPLetters(18), No. 4, April 2011, pp. 247-250.
IEEE DOI 1103
BibRef

Dong, Y., Ma, J.,
Bayesian Texture Classification Based on Contourlet Transform and BYY Harmony Learning of Poisson Mixtures,
IP(21), No. 3, March 2012, pp. 909-918.
IEEE DOI 1203
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Gómez, F.[Francisco], Romero, E.[Eduardo],
Rotation invariant texture characterization using a curvelet based descriptor,
PRL(32), No. 16, 1 December 2011, pp. 2178-2186.
Elsevier DOI 1112
BibRef
Earlier:
Texture Characterization Using a Curvelet Based Descriptor,
CIARP09(113-120).
Springer DOI 0911
Texture characterization; Rotation invariance; Curvelet transform; Generalized Gaussian distribution; Kullback-Leibler divergence BibRef

Han, Y.[Yina], Liu, G.Z.[Gui-Zhong],
Efficient Learning of Sample-Specific Discriminative Features for Scene Classification,
SPLetters(18), No. 11, November 2011, pp. 683-686.
IEEE DOI 1112
BibRef
Earlier:
A Hierarchical GIST Model Embedding Multiple Biological Feasibilities for Scene Classification,
ICPR10(3109-3112).
IEEE DOI 1008
Gabor features. BibRef

Krishnamoorthi, R., Sathiya devi, S.,
A multiresolution approach for rotation invariant texture image retrieval with orthogonal polynomials model,
JVCIR(23), No. 1, January 2012, pp. 18-30.
Elsevier DOI 1112
Texture image retrieval; Orthogonal polynomials; Rotation invariant; Gabor wavelet; Contourlet Transform; Multiresolution; Feature extraction; Canberra distance BibRef

Azimifar, Z.[Zohreh], Amiri, M.[Mehdi], Fieguth, P.W.[Paul W.], Jernigan, E.[Ed],
Empirical Study of Wavelet Domain Image Joint Statistics and Proposition of an Efficient Correlation Map,
JMIV(43), No. 1, May 2012, pp. 24-38.
WWW Link. 1204
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Barshan, E.[Elnaz], Behravan, M.[Mina], Azimifar, Z.[Zohreh],
Learning an Efficient Texture Model by Supervised Nonlinear Dimensionality Reduction Methods,
CIARP09(209-216).
Springer DOI 0911
BibRef

Azimifar, Z.[Zohreh], Fieguth, P.W.[Paul W.], Jernigan, E.[Ed],
Textures and Wavelet-Domain Joint Statistics,
ICIAR04(II: 331-338).
Springer DOI 0409
BibRef

Sabri, M.[Mahdi], Fieguth, P.W.[Paul W.],
A New Gabor Filter Based Kernel for Texture Classification with SVM,
ICIAR04(II: 314-322).
Springer DOI 0409
BibRef

Akbarizadeh, G.,
A New Statistical-Based Kurtosis Wavelet Energy Feature for Texture Recognition of SAR Images,
GeoRS(50), No. 11, November 2012, pp. 4358-4368.
IEEE DOI 1210
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Qian, Y.T.[Yun-Tao], Ye, M.[Minchao], Zhou, J.[Jun],
Hyperspectral Image Classification Based on Structured Sparse Logistic Regression and Three-Dimensional Wavelet Texture Features,
GeoRS(51), No. 4, April 2013, pp. 2276-2291.
IEEE DOI 1304
BibRef

Ye, M.[Minchao], Qian, Y.T.[Yun-Tao], Zhou, J.[Jun], Tang, Y.Y.,
Dictionary Learning-Based Feature-Level Domain Adaptation for Cross-Scene Hyperspectral Image Classification,
GeoRS(55), No. 3, March 2017, pp. 1544-1562.
IEEE DOI 1703
Dictionaries BibRef

Toscani, P.[Philipp], Immitzer, M.[Markus], Atzberger, C.[Clement],
Wavelet-based texture measures for object-based classification of aerial images,
PFG(2013), No. 2, 2013, pp. 105-121.
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Riaz, F., Hassan, A., Rehman, S., Qamar, U.,
Texture Classification Using Rotation- and Scale-Invariant Gabor Texture Features,
SPLetters(20), No. 6, 2013, pp. 607-610.
IEEE DOI 1307
Gabor filters; discrete Fourier transforms BibRef

Hassan, A., Riaz, F., Shaukat, A.,
Scale and Rotation Invariant Texture Classification Using Covariate Shift Methodology,
SPLetters(21), No. 3, March 2014, pp. 321-324.
IEEE DOI 1403
image classification BibRef

Riaz, F.[Farhan], Ribeiro, M.D.[Mario Dinis], Pimentel-Nunes, P.[Pedro], Coimbra, M.T.[Miguel Tavares],
A DFT based rotation and scale invariant Gabor texture descriptor and its application to gastroenterology,
ICIP13(1443-1446)
IEEE DOI 1402
BibRef

Li, C.R.[Chao-Rong], Li, J.P.[Jian-Ping], Fu, B.[Bo],
Magnitude-Phase of Quaternion Wavelet Transform for Texture Representation Using Multilevel Copula,
SPLetters(20), No. 8, 2013, pp. 799-802.
IEEE DOI 1307
image representation BibRef

He, C., Li, S., Liao, Z., Liao, M.,
Texture Classification of PolSAR Data Based on Sparse Coding of Wavelet Polarization Textons,
GeoRS(51), No. 8, 2013, pp. 4576-4590.
IEEE DOI 1307
Covariance matrix BibRef

He, J., Ji, H., Yang, X.,
Rotation Invariant Texture Descriptor Using Local Shearlet-Based Energy Histograms,
SPLetters(20), No. 9, 2013, pp. 905-908.
IEEE DOI 1308
Local energy BibRef

Roux, S.G., Clausel, M., Vedel, B., Jaffard, S., Abry, P.,
Self-Similar Anisotropic Texture Analysis: The Hyperbolic Wavelet Transform Contribution,
IP(22), No. 11, 2013, pp. 4353-4363.
IEEE DOI 1310
Analytical models See also Wavelet Leader Multifractal Analysis for Texture Classification. BibRef

Kim, N.C.[Nam Chul], So, H.J.[Hyun Joo],
Comments on 'SVD-Based Modeling for Image Texture Classification Using Wavelet Transform',
IP(22), No. 12, 2013, pp. 5408-5408.
IEEE DOI 1312
image classification See also SVD-Based Modeling for Image Texture Classification Using Wavelet Transformation. BibRef

Rakvongthai, Y.[Yothin], Oraintara, S.[Soontorn],
Statistical texture retrieval in noise using complex wavelets,
SP:IC(28), No. 10, 2013, pp. 1494-1505.
Elsevier DOI 1312
Texture retrieval in noise BibRef

Depeursinge, A., Foncubierta-Rodriguez, A., Van de Ville, D., Muller, H.,
Rotation-Covariant Texture Learning Using Steerable Riesz Wavelets,
IP(23), No. 2, February 2014, pp. 898-908.
IEEE DOI 1402
computer vision BibRef

Cavusoglu, B.[Bulent],
Multiscale texture retrieval based on low-dimensional and rotation-invariant features of curvelet transform,
JIVP(2014), No. 1, 2014, pp. 22.
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Lasmar, N.E., Berthoumieu, Y.,
Gaussian Copula Multivariate Modeling for Texture Image Retrieval Using Wavelet Transforms,
IP(23), No. 5, May 2014, pp. 2246-2261.
IEEE DOI 1405
Gaussian distribution BibRef

Rami, H.[Hassan], El Maliani, A.D.[Ahmed Drissi], El Hassouni, M.[Mohammed], Berthoumieu, Y.[Yannick],
Rotation-Invariant texture retrieval using a steerable Gaussian copula model,
ICIP14(2983-2987)
IEEE DOI 1502
Computational modeling BibRef

de Ves, E.[Esther], Acevedo, D.[Daniel], Ruedin, A.[Ana], Benavent, X.[Xaro],
A statistical model for magnitudes and angles of wavelet frame coefficients and its application to texture retrieval,
PR(47), No. 9, 2014, pp. 2925-2939.
Elsevier DOI 1406
Image retrieval BibRef

Lasmar, N.E.[Nour-Eddine], Baussard, A.[Alexandre], le Chenadec, G.[Gilles],
Asymmetric power distribution model of wavelet subbands for texture classification,
PRL(52), No. 1, 2015, pp. 1-8.
Elsevier DOI 1412
Texture analysis BibRef

Dong, Y.S.[Yong-Sheng], Tao, D.C.[Da-Cheng], Li, X.L.[Xue-Long], Ma, J.W.[Jin-Wen], Pu, J.X.[Jie-Xin],
Texture Classification and Retrieval Using Shearlets and Linear Regression,
Cyber(45), No. 3, March 2015, pp. 358-369.
IEEE DOI 1502
Computational modeling BibRef

Feng, J.W.[Jin-Wang], Liu, X.L.[Xin-Liang], Dong, Y.S.[Yong-Sheng], Liang, L.F.[Ling-Fei], Pu, J.X.[Jie-Xin],
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Dinç, E.[Erdal], Duarte, F.B.[Fernando B.], Machado, J.A.T.[J. A. Tenreiro], Baleanu, D.[Dumitru],
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SIViP(9), No. 4, May 2015, pp. 801-807.
Springer DOI 1504
BibRef

Li, C., Duan, G., Zhong, F.,
Rotation Invariant Texture Retrieval Considering the Scale Dependence of Gabor Wavelet,
IP(24), No. 8, August 2015, pp. 2344-2354.
IEEE DOI 1505
Computational modeling BibRef

Tobar, F., Mandic, D.P.,
Design of Positive-Definite Quaternion Kernels,
SPLetters(22), No. 11, November 2015, pp. 2117-2121.
IEEE DOI 1509
Hilbert spaces BibRef

Riabchenko, E.[Ekaterina], Kämäräinen, J.K.[Joni-Kristian],
Generative part-based Gabor object detector,
PRL(68, Part 1), No. 1, 2015, pp. 1-8.
Elsevier DOI 1512
Gabor feature BibRef

Moallem, P.[Payman], Tahvilian, H.[Homa], Monadjemi, S.A.[S. Amirhassan],
Parametric active contour model using Gabor balloon energy for texture segmentation,
SIViP(10), No. 1, February 2016, pp. 351-358.
Springer DOI 1601
BibRef

Regniers, O., Bombrun, L., Lafon, V., Germain, C.,
Supervised Classification of Very High Resolution Optical Images Using Wavelet-Based Textural Features,
GeoRS(54), No. 6, June 2016, pp. 3722-3735.
IEEE DOI 1606
feature extraction BibRef

Pang, W.M.[Wai-Man], Choi, K.S.[Kup-Sze], Qin, J.[Jing],
Fast Gabor texture feature extraction with separable filters using GPU,
RealTimeIP(12), No. 1, June 2016, pp. 5-13.
WWW Link. 1606
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He, L.[Lin], Li, J.[Jun], Plaza, A.[Antonio], Li, Y.Q.[Yuan-Qing],
Discriminative Low-Rank Gabor Filtering for Spectral-Spatial Hyperspectral Image Classification,
GeoRS(55), No. 3, March 2017, pp. 1381-1395.
IEEE DOI 1703
Feature extraction BibRef

Depeursinge, A., Püspöki, Z., Ward, J.P., Unser, M.,
Steerable Wavelet Machines (SWM): Learning Moving Frames for Texture Classification,
IP(26), No. 4, April 2017, pp. 1626-1636.
IEEE DOI 1704
gradient methods BibRef

Andries, B.[Bob], Lemeire, J.[Jan], Munteanu, A.[Adrian],
Scalable texture compression using the wavelet transform,
VC(33), No. 9, September 2017, pp. 1121-1139.
WWW Link. 1708
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Earlier:
Optimized quantization of wavelet subbands for high quality real-time texture compression,
ICIP14(5616-5620)
IEEE DOI 1502
Codecs BibRef


Onchis, D.[Darian], Istin, C.[Codruta], Real, P.[Pedro],
Space-Variant Gabor Decomposition for Filtering 3D Medical Images,
CAIP17(II: 455-461).
Springer DOI 1708
BibRef

Ye, Z., Bai, L., Tan, L.[Lian],
Hyperspectral image classification based on Gabor features and decision fusion,
ICIVC17(478-482)
IEEE DOI 1708
Classification algorithms, Correlation, Data mining, Feature extraction, Image classification, Support vector machines, classification, decision fusion, gabor features, hyperspectral, image BibRef

Nguyen, V.L.[Vu-Lam], Vu, N.S.[Ngoc-Son], Phan, H.H.[Hai-Hong], Gosselin, P.H.[Philippe-Henri],
An integrated descriptor for texture classification,
ICPR16(2006-2011)
IEEE DOI 1705
Biology, Feature extraction, Principal component analysis, Scattering, Training, Wavelet transforms, Image classification, Image texture, Image, texture, analysis BibRef

Sari, L.[Leda], Ertuzun, A.[Aysin],
Texture Defect Detection Using Independent Vector Analysis in Wavelet Domain,
ICPR14(1639-1644)
IEEE DOI 1412
Accuracy BibRef

Wang, Y.H.[Yong-Hui], Cui, S.[Suxia],
Hyperspectral image feature classification using stationary wavelet transform,
ICWAPR14(104-108)
IEEE DOI 1402
Classification algorithms BibRef

Huang, M.M.[Ming-Ming], Mu, Z.C.[Zhi-Chun], Zeng, H.[Hui],
A method of image classification based on SIFT-Gabor-Scale descriptors,
ICWAPR14(66-69)
IEEE DOI 1402
Computer vision BibRef

Sobieranski, A.C.[Antonio Carlos], Linhares, R.T.F.[Rodrigo T. F.], Comunello, E.[Eros], von Wangenheim, A.[Aldo],
A Fast Gabor Filter Approach for Multi-Channel Texture Feature Discrimination,
CIARP14(135-142).
Springer DOI 1411
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Tanaka, K., Hotta, S.,
Local Subspace Classifier with Gabor Filter Decomposition for Image Classification,
ACPR13(823-827)
IEEE DOI 1408
Gabor filters BibRef

Yang, H.G.[Hui-Guang], Ahuja, N.[Narendra],
Rotation-invariant texture recognition by rotation compensation and wavelet analysis,
ICIP13(3785-3789)
IEEE DOI 1402
intensity moment BibRef

Zhang, L.[Lin], Zhou, Z.Q.[Zhi-Qiang], Li, H.Y.[Hong-Yu],
Binary Gabor pattern: An efficient and robust descriptor for texture classification,
ICIP12(81-84).
IEEE DOI 1302
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Nava, R.[Rodrigo],
Overcomplete Image Representations for Texture Analysis,
ELCVIA(13), No. 2, 2014, pp. xx-yy.
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Nava, R.[Rodrigo], Escalante-Ramírez, B.[Boris], Cristóbal, G.[Gabriel],
Texture Image Retrieval Based on Log-Gabor Features,
CIARP12(414-421).
Springer DOI 1209
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Abadi, M.[Mohamed], Khoudeir, M.[Majdi], Marchand, S.[Sylvie],
Gabor Filter-Based Texture Features to Archaeological Ceramic Materials Characterization,
ICISP12(333-342).
Springer DOI 1208
BibRef

Caulier, Y.[Yannick], Stolz, C.[Christophe],
Optimal Gabor Filters and Haralick Features for the Industrial Polarization Imaging,
MIRAGE11(122-132).
Springer DOI 1110
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Machado, B.B.[Bruno Brandoli], Gonçalves, W.N.[Wesley Nunes], Bruno, O.M.[Odemir Martinez],
Enhancing the Texture Attribute with Partial Differential Equations: A Case of Study with Gabor Filters,
ACIVS11(337-348).
Springer DOI 1108
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Kong, A.W.K.[Adams Wai-Kin],
An alternative Gabor filtering scheme,
ICIP10(1925-1928).
IEEE DOI 1009
BibRef

Li, W.T.[Wei-Tao], Mao, K.Z.[Ke-Zhi], Zhang, H.[Hong], Chai, T.Y.[Tian-You],
Selection of Gabor filters for improved texture feature extraction,
ICIP10(361-364).
IEEE DOI 1009
BibRef
And:
Designing compact Gabor filter banks for efficient texture feature extraction,
ICARCV10(1193-1197).
IEEE DOI 1109
BibRef

Afshang, M.[Mehrnaz], Helfroush, M.S.[Mohammad Sadegh], Zahernia, A.[Azardokht],
Gabor Filter Parameters Optimization for Texture Classification Based on Genetic Algorithm,
ICMV09(199-203).
IEEE DOI 0912
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Liu, M.X.[Ming-Xia], Hou, Y.K.[Ying-Kun], Guo, X.C.[Xiao-Chun], Huan, Z.L.[Zheng-Liang], Yang, D.Y.[De-Yun],
Texture Classification Using Nonsubsampled Contourlet Transform and LS-SVM,
CISP09(1-5).
IEEE DOI 0910
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Glock, S.[Stefan], Gillich, E.[Eugen], Schaede, J.[Johannes], Lohweg, V.[Volker],
Feature Extraction Algorithm for Banknote Textures Based on Incomplete Shift Invariant Wavelet Packet Transform,
DAGM09(422-431).
Springer DOI 0909
2D incomplete shift invariant Wavelet Packet Transform to reduce computation time. BibRef

Chu, X.Q.[Xin-Qi], Chan, K.L.[Kap Luk],
Rotation and Scale Invariant Texture Analysis with Tunable Gabor Filter Banks,
PSIVT09(83-93).
Springer DOI 0901
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Mei, Y.[Ye], Androutsos, D.[Dimitrios],
Wavelet-based color texture retrieval using the independent component color space,
ICIP08(165-168).
IEEE DOI 0810
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Yang, Y.[Yi], Newsam, S.[Shawn],
Spatial pyramid co-occurrence for image classification,
ICCV11(1465-1472).
IEEE DOI 1201
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Earlier:
Comparing SIFT descriptors and gabor texture features for classification of remote sensed imagery,
ICIP08(1852-1855).
IEEE DOI 0810
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Hidalgo-Silva, H.[Hugo],
Gabor Kernels for Textured Image Representation and Classification,
CIARP06(929-935).
Springer DOI 0611
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Pan, W.[Wumo], Bui, T.D., Suen, C.Y.,
Rotation-Invariant Texture Classification Using Steerable Gabor Filter Bank,
ICIAR05(746-753).
Springer DOI 0509
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Hu, Y.[Ying], Hou, B.[Biao], Wang, S.A.[Shu-Ang], Jiao, L.C.[Li-Cheng],
Texture Classification Via Stationary-Wavelet Based Contourlet Transform,
IWICPAS06(485-494).
Springer DOI 0608
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Hong, P.S., Kaplan, L.M., Smith, M.J.T.,
A comparison of the octave-band directional filter bank and gabor filters for texture classification,
ICIP04(III: 1541-1544).
IEEE DOI 0505
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Massad, A., Babos, M., Mertsching, B.,
Perceptual grouping in grey-level images by combination of gabor filtering and tensor voting,
ICPR02(II: 677-680).
IEEE DOI 0211
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Zhang, J.G.[Jain-Guo], Tan, T.N.[Tie-Niu], Ma, L.[Li],
Invariant texture segmentation via circular gabor filters,
ICPR02(II: 901-904).
IEEE DOI 0211
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Tay, P., Havlicek, J.P., DeBrunner, V.,
Discrete wavelet transform with optimal joint localization for determining the number of image texture segments,
ICIP02(III: 281-284).
IEEE DOI 0210
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Xiong, Z.Y.[Zi-You], Huang, T.S.,
Wavelet-based texture features can be extracted efficiently from compressed-domain for JPEG2000 coded images,
ICIP02(I: 481-484).
IEEE DOI 0210
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Azimifar, Z., Fieguth, P.W., Jernigan, E.,
Towards random field modeling of wavelet statistics,
ICIP02(I: 361-364).
IEEE DOI 0210
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Sagiv, C.[Chen], Sochen, N.A.[Nir A.], Zeevi, Y.Y.[Yehoshua Y.],
Gabor Feature Space Diffusion via the Minimal Weighted Area Method,
EMMCVPR01(621-635).
Springer DOI 0205
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Sagiv, C., Sochen, N.A., Zeevi, Y.,
Texture segmentation via a diffusion-segmentation scheme in the Gabor feature space,
Texture02(123-128). 0207
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Mathiassen, J.R.[John Reidar], Skavhaug, A.[Amund], Bø, K.[Ketil],
Texture Similarity Measure Using Kullback-Leibler Divergence between Gamma Distributions,
ECCV02(III: 133 ff.).
Springer DOI 0205
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Menegaz, G.,
DWT-based Non-parametric Texture Modeling,
ICIP01(I: 173-176).
IEEE DOI 0108
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Krüger, V.[Volker], Sommer, G.[Gerald],
Gabor Wavelet Networks for Object Representation,
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Dimai, A.,
Rotation Invariant Texture Description using General Moment Invariants and Gabor Filters,
SCIA99(Pattern Recognition I). BibRef 9900

Garcia-Consuegra, J., Cisneros, G.,
Integration of Gabor Functions with Co-occurrence Matrices: Application to Woody Crop Location in Remote Sensing,
ICIP99(II:330-333).
IEEE DOI BibRef 9900

Buelow, T.[Thomas], Sommer, G.[Gerald],
Quaternionic Gabor Filters for Local Structure Classification,
ICPR98(Vol I: 808-810).
IEEE DOI 9808
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Sebe, N.[Nicu], Lew, M.S.[Michael S.],
Wavelet Based Texture Classification,
ICPR00(Vol III: 947-950).
IEEE DOI 0009
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Ben-Arie, J., and Wang, Z.,
SVD and Log-Log Frequency Sampling with Gabor Kernels for Invariant Pictorial Recognition,
ICIP97(III: 162-165).
IEEE DOI BibRef 9700

Shah, S., Aggarwal, J.K.,
A Bayesian Segmentation Framework for Textured Visual Images,
CVPR97(1014-1020).
IEEE DOI 9704
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Liu, J.F., Lee, J.C.M.,
An Efficient and Effective Texture Classification Approach Using a New Notion in Wavelet Theory,
ICPR96(II: 820-824).
IEEE DOI 9608
(Hong Kong Univ. of Science, HK) BibRef

Hickinbotham, S.J.[Simon J.], Hancock, E.R.[Edwin R.], Austin, J.[James],
Segmenting Modulated Line Textures with S-Gabor Filters,
ICIP96(III: 149-152).
IEEE DOI BibRef 9600

Ng, I., Tan, T., Kittler, J.V.,
On Local Linear Transform and Gabor Filter Representation of Texture,
ICPR92(III:627-631).
IEEE DOI BibRef 9200

Ng, I., Petrou, M.,
On the Analysis of Linear Textures,
CIAP91(183-190). BibRef 9100

Zhang, J.[Jun], Tran, Q.[Que],
Wavelet-Based Multiresolution Stochastic Image Models,
SCV95(479-484).
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Gross, M.H., Koch, R., Lippert, L., Dreger, A.,
Multiscale image texture analysis in wavelet spaces,
ICIP94(III: 412-416).
IEEE DOI 9411
BibRef

Hsu, T.I.[Tao-I], Wilson, R.,
Texture analysis using a generalised wavelet transform,
ICIP94(III: 436-440).
IEEE DOI 9411
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Schumacher, P., Zhang, J.[Jun],
Texture classification using neural networks and discrete wavelet transform,
ICIP94(III: 903-907).
IEEE DOI 9411
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Chapter on 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture continues in
Fractals for Texture Analysis and Description, Fractal Dimension .


Last update:Nov 18, 2017 at 20:56:18