7.10.7.2 Wavelets, Gabor Filters for Texture

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.],
Image segmentation from scale and rotation invariant texture features from the double dyadic dual-tree complex wavelet transform,
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
BibRef

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
BibRef

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
BibRef

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
BibRef
And: Corrections: GeoRS(56), No. 5, May 2018, pp. 3002-3003.
IEEE DOI 1805
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.
DOI Link 1305
BibRef

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.
DOI Link 1404
BibRef

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],
Structural difference histogram representation for texture image classification,
IET-IPR(11), No. 2, February 2017, pp. 118-125.
DOI Link 1703
BibRef

Dinç, E.[Erdal], Duarte, F.B.[Fernando B.], Machado, J.A.T.[J. A. Tenreiro], Baleanu, D.[Dumitru],
Application of continuous wavelet transform to the analysis of the modulus of the fractional Fourier transform bands for resolving two component mixture,
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
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
BibRef
Earlier:
Optimized quantization of wavelet subbands for high quality real-time texture compression,
ICIP14(5616-5620)
IEEE DOI 1502
Codecs BibRef

Wang, S.[Shuli], Wang, G.X.[Guan-Xiang],
Texture classification by multifractal spectrum and barycentric coordinates of bit planes of wavelet coefficients,
IET-IPR(11), No. 12, Decmeber 2017, pp. 1205-1209.
DOI Link 1712
BibRef

Luan, S.Z.[Shang-Zhen], Chen, C.[Chen], Zhang, B.C.[Bao-Chang], Han, J.G.[Jun-Gong], Liu, J.Z.[Jian-Zhuang],
Gabor Convolutional Networks,
IP(27), No. 9, September 2018, pp. 4357-4366.
IEEE DOI 1807
BibRef
Earlier: A1, A3, A2, A4, A5: Plus insert A3: Zhou, S.Y.[Si-Yue], A6: Yang, W.K.[Wan-Kou],
Gabor Convolutional Networks,
WACV18(1254-1262)
IEEE DOI 1806
Gabor filters, feature extraction, feedforward neural nets, image representation, learning (artificial intelligence), orientation. convolution, image enhancement, Wavelet transforms BibRef

Huang, Y.[Yuan], de Bortoli, V.[Valentin], Zhou, F.[Fugen], Gilles, J.[Jérôme],
Review of wavelet-based unsupervised texture segmentation, advantage of adaptive wavelets,
IET-IPR(12), No. 9, September 2018, pp. 1626-1638.
DOI Link 1809
BibRef

Oulhaj, H.[Hind], Jennane, R.[Rachid], Amine, A.[Aouatif], El Hassouni, M.[Mohammed], Rziza, M.[Mohammed],
Study of the relative magnitude in the wavelet domain for texture characterization,
SIViP(12), No. 7, October 2018, pp. 1403-1410.
Springer DOI 1809
BibRef

Kim, N.C.[Nam Chul], So, H.J.[Hyun Joo],
Directional statistical Gabor features for texture classification,
PRL(112), 2018, pp. 18-26.
Elsevier DOI 1809
Feature extraction, Feature construction, Texture classification, Gabor filter, Directional statistics BibRef

Ramakrishnan, S.[Srinivasan], Nithya, S.[Sivasamy],
Two improved extension of local binary pattern descriptors using wavelet transform for texture classification,
IET-IPR(12), No. 11, November 2018, pp. 2002-2010.
DOI Link 1810
BibRef

Dash, S.[Sonali], Jena, U.R.[Uma Ranjan],
Enhancing the Laws filter descriptor on DTCWT coefficients by thresholding approach for texture classification,
IJCVR(8), No. 6, 2018, pp. 658-671.
DOI Link 1810
BibRef

Kittisuwan, P.[Pichid],
Textural Region Denoising: Application in Agriculture,
IJIG(18), No. 4 2018, pp. 1850024.
DOI Link 1812
BibRef

Wang, J.M.[Jun-Min], Fan, Y.Y.[Yang-Yu], Li, Z.[Zuhe], Lei, T.[Tao],
Texture classification using multi-resolution global and local Gabor features in pyramid space,
SIViP(13), No. 1, February 2019, pp. 163-170.
WWW Link. 1901
BibRef

Li, C.R.[Chao-Rong], Huang, Y.Y.[Yuan-Yuan], Yang, X.C.[Xing-Chun], Chen, H.[Huafu],
Marginal distribution covariance model in the multiple wavelet domain for texture representation,
PR(92), 2019, pp. 246-257.
Elsevier DOI 1905
Texture representation, Covariance matrix, Gabor wavelet, Dual tree complex wavelet, Orthogonal wavelet, Convolutional neural network BibRef

Zikiou, N.[Nadia], Lahdir, M.[Mourad], Helbert, D.[David],
Support vector regression-based 3D-wavelet texture learning for hyperspectral image compression,
VC(36), No. 7, July 2020, pp. 1473-1490.
WWW Link. 2005
BibRef

Sardar, A.[Alireza], Mehrshad, N.[Nasser], Razavi, S.M.[Seyyed Mohammad],
Efficient image segmentation method based on an adaptive selection of Gabor filters,
IET-IPR(14), No. 16, 19 December 2020, pp. 4198-4209.
DOI Link 2103
BibRef

Tao, Z.Y.[Zhi-Yong], Wei, T.[Tong], Li, J.[Jie],
Wavelet Multi-Level Attention Capsule Network for Texture Classification,
SPLetters(28), 2021, pp. 1215-1219.
IEEE DOI 2106
Feature extraction, Tensors, Convolution, Discrete wavelet transforms, Data mining, Computer architecture, wavelet decomposition BibRef

Vacher, J.[Jonathan], Briand, T.[Thibaud],
The Portilla-Simoncelli Texture Model: Towards Understanding the Early Visual Cortex,
IPOL(11), 2021, pp. 170-211.
DOI Link 2107

See also Parametric Texture Model Based on Joint Statistics of Complex Wavelet Coefficients, A. BibRef

Qiao, Y.L.[Yu-Long], Zhao, Y.[Yue], Song, C.Y.[Chun-Yan], Zhang, K.G.[Kai-Ge], Xiang, X.Z.[Xue-Zhi],
Graph wavelet transform for image texture classification,
IET-IPR(15), No. 10, 2021, pp. 2372-2383.
DOI Link 2108
BibRef

McIntosh, D.[Declan], Marques, T.P.[Tunai Porto], Albu, A.B.[Alexandra Branzan],
Preservation of High Frequency Content for Deep Learning-Based Medical Image Classification,
CRV21(41-48)
IEEE DOI 2108
Add wavelet to keep details, use standard classification after that. Heart, Visualization, Transforms, Medical services, Feature extraction, Encoding, Discrete wavelet transforms, medical imaging BibRef

Yuan, Y.[Ye], Wang, L.N.[Li-Na], Zhong, G.Q.[Guo-Qiang], Gao, W.[Wei], Jiao, W.C.[Wen-Cong], Dong, J.Y.[Jun-Yu], Shen, B.[Biao], Xia, D.D.[Dong-Dong], Xiang, W.[Wei],
Adaptive Gabor convolutional networks,
PR(124), 2022, pp. 108495.
Elsevier DOI 2203
Gabor filters, Deep convolutional neural networks, Invariant information, Gabor convolutional filters, Image classification BibRef

Huang, K.K.[Ke-Kun], Ren, C.X.[Chuan-Xian], Liu, H.[Hui], Lai, Z.R.[Zhao-Rong], Yu, Y.F.[Yu-Feng], Dai, D.Q.[Dao-Qing],
Hyperspectral Image Classification via Discriminant Gabor Ensemble Filter,
Cyber(52), No. 8, August 2022, pp. 8352-8365.
IEEE DOI 2208
Feature extraction, Training, Hyperspectral imaging, Standards, Gabor filters, Convolution, Testing, hyperspectral image (HSI) classification BibRef

Yao, X.Q.[Xiao-Qin], Song, T.C.[Tie-Cheng],
Rotation invariant Gabor convolutional neural network for image classification,
PRL(162), 2022, pp. 22-30.
Elsevier DOI 2210
Rotation invariance, CNN, Gabor filters, Image classification BibRef

Zhu, L.[Lanyun], Chen, T.R.[Tian-Run], Yin, J.X.[Jian-Xiong], See, S.[Simon], Liu, J.[Jun],
Learning Gabor Texture Features for Fine-Grained Recognition,
ICCV23(1621-1631)
IEEE DOI 2401
BibRef

Gong, X.[Xuan], Xia, X.[Xin], Zhu, W.T.[Wen-Tao], Zhang, B.C.[Bao-Chang], Doermann, D.[David], Zhuo, L.[Li'an],
Deformable Gabor Feature Networks for Biomedical Image Classification,
WACV21(4003-4011)
IEEE DOI 2106
Deep learning, Training, Convolution, Shape, Feature extraction, Robustness, Gabor filters BibRef

Vu, N.S., Nguyen, V.L., Gosselin, P.H.,
A Handcrafted Normalized-Convolution Network for Texture Classification,
CEFR-LCV17(1238-1245)
IEEE DOI 1802
Convolution, Feature extraction, Robustness, Scattering, Wavelet transforms BibRef

Onchis, D.M.[Darian M.], 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
BibRef

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
BibRef

Nava, R.[Rodrigo],
Overcomplete Image Representations for Texture Analysis,
ELCVIA(13), No. 2, 2014, pp. xx-yy.
DOI Link 1407
Ph.D.. Thesis. BibRef

Nava, R.[Rodrigo], Escalante-Ramírez, B.[Boris], Cristóbal, G.[Gabriel],
Texture Image Retrieval Based on Log-Gabor Features,
CIARP12(414-421).
Springer DOI 1209
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

Mei, Y.[Ye], Androutsos, D.[Dimitrios],
Wavelet-based color texture retrieval using the independent component color space,
ICIP08(165-168).
IEEE DOI 0810
BibRef

Yang, Y.[Yi], Newsam, S.[Shawn],
Spatial pyramid co-occurrence for image classification,
ICCV11(1465-1472).
IEEE DOI 1201
BibRef
Earlier:
Comparing SIFT descriptors and gabor texture features for classification of remote sensed imagery,
ICIP08(1852-1855).
IEEE DOI 0810
BibRef

Hidalgo-Silva, H.[Hugo],
Gabor Kernels for Textured Image Representation and Classification,
CIARP06(929-935).
Springer DOI 0611
BibRef

Pan, W.[Wumo], Bui, T.D., Suen, C.Y.,
Rotation-Invariant Texture Classification Using Steerable Gabor Filter Bank,
ICIAR05(746-753).
Springer DOI 0509
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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

See also wavelet filter bank which minimizes a novel translation invariant discrete uncertainty measure, A. BibRef

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
BibRef

Azimifar, Z., Fieguth, P.W., Jernigan, E.,
Towards random field modeling of wavelet statistics,
ICIP02(I: 361-364).
IEEE DOI 0210
BibRef

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
BibRef

Sagiv, C., Sochen, N.A., Zeevi, Y.,
Texture segmentation via a diffusion-segmentation scheme in the Gabor feature space,
Texture02(123-128). 0207
BibRef

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
BibRef

Menegaz, G.,
DWT-based Non-parametric Texture Modeling,
ICIP01(I: 173-176).
IEEE DOI 0108
BibRef

Krüger, V.[Volker], Sommer, G.[Gerald],
Gabor Wavelet Networks for Object Representation,
WTRCV01(115). 0103
BibRef
And: A1, Only: Ph.D.Thesis, 2001, Christian-Albrechts-University Kiel, Technical Faculty. BibRef

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
BibRef

Sebe, N.[Nicu], Lew, M.S.[Michael S.],
Wavelet Based Texture Classification,
ICPR00(Vol III: 947-950).
IEEE DOI 0009
BibRef

Ben-Arie, J., 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
BibRef

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).
IEEE DOI University of Wisconsin-Milwaukee. BibRef 9500

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
BibRef

Schumacher, P., Zhang, J.[Jun],
Texture classification using neural networks and discrete wavelet transform,
ICIP94(III: 903-907).
IEEE DOI 9411
BibRef

Chapter on 2-D Feature Analysis, Extraction and Representations, Shape, Skeletons, Texture continues in
Fractals for Texture Analysis and Description, Fractal Dimension .

Last update:Jan 20, 2025 at 11:36:25