8.8 Texture Based Segmentation Techniques

Chapter Contents (Back)
Texture, Segmentation. Segmentation, Texture. See also Statistical Methods for Texture Description and Analysis.

Zucker, S.W., Rosenfeld, A., and Davis, L.S.,
Picture Segmentation by Texture Discrimination,
TC(24), No. 12, December 1975. BibRef 7512
Earlier: UMD-CS-TR-356, February 1978. Local picture property; texture coarseness; nonmaxima suppressed!! BibRef

Deguchi, K., and Morishita, I.,
Texture Characterization and Texture-Based Image Partitioning Using Two-Dimensional Linear Estimation Techniques,
TC(27), 1978, pp. 846-850. BibRef 7800

Mitchell, O.R., Carlton, S.G.,
Image Segmentation Using a Local Extrema Texture Measure,
PR(10), No. 3, 1978, pp. 205-210.
WWW Link. BibRef 7800

Mitchell, O.R., Lutton, S.M., Su, S.P.,
Texture Image Segmentation Using Local Extrema,
PRIP79(508-511). BibRef 7900

Carlton, S.G., Mitchell, O.R.,
Image Segmentation Using Texture and Gray Level,
DARPA77(71-77). BibRef 7700
And: PRIP77(387-391). BibRef

Carlton, S.G., Mitchell, O.R.,
Object/Background Segmentation in FLIR Imagery,
PRIP78(360-362). BibRef 7800

Mitchell, O.R.,
Target/Background Segmentation and Classification in FLIR Imagery,
DARPA78(115-117). BibRef 7800

Chen, P.C., and Pavlidis, T.,
Segmentation by Texture Using Correlation,
PAMI(5), No. 1, January 1983, pp. 64-69. BibRef 8301
Earlier: ICPR80(551-553). BibRef

Chen, P.C.,
Segmentation by Texture Using a Split-and-Merge Algorithm,
PRAI-78(190). BibRef 7800

Chen, P.C., and Pavlidis, T.,
Segmentation by Texture Using a Co-Occurrence Matrix and a Split-and-Merge Algorithm,
CGIP(10), No. 2, June 1979, pp. 172-182.
WWW Link. BibRef 7906
Earlier: ICPR78(565-569). Segmentation, Split and Merge. BibRef

Beck, J., Prazdny, K., Rosenfeld, A.,
A Theory of Textural Segmentation,
HMV83(1-38). BibRef 8300

Beck, J.,
Textural Segmentation, Second-Order Statistics and Textural Elements,
BioCyber(48), 1983, pp. 125-130. BibRef 8300

Lakshmanan, S.[Sridhar], and Derin, H.[Haluk],
Simultaneous Parameter Estimation and Segmentation of Gibbs Random Fields Using Simulated Annealing,
PAMI(11), No. 8, August 1989, pp. 799-813.
IEEE DOI Simulated Annealing. BibRef 8908

Yamada, H., Kasvand, T.,
Transparent Object Extraction from Regular Textured Backgrounds by Using Binary Parallel Operations,
CVGIP(40), No. 1, October 1987, pp. 41-53.
WWW Link. BibRef 8710

Kartikeyan, B., Sarkar, A.,
A Unified Approach for Image Segmentation Using Exact Statistics,
CVGIP(48), No. 2, November 1989, pp. 217-229.
WWW Link. BibRef 8911

Chang, C., Chatterjee, S.,
A Hybrid Approach Toward Model-Based Texture Segmentation,
PR(25), No. 5, May 1992, pp. 519-531.
WWW Link. BibRef 9205

Oe, S.,
Texture Segmentation Method by Using Two-Dimensional AR Model and Kullback Information,
PR(26), No. 2, February 1993, pp. 237-244.
WWW Link. BibRef 9302

Wechsler, H.,
A New Low Level Procedure for Image Segmentation,
CGIP(7), No. 1, February 1978, pp. 120-129.
WWW Link. BibRef 7802

Wechsler, H.,
Taxonomy and Segmentation of Textured Images,
ICPR80(532-534). BibRef 8000

Reed, T.R., and Wechsler, H.,
Segmentation of Textured Images and Gestalt Organization Using Spatial/Spatial-Frequency Representations,
PAMI(12), No. 1, January 1990, pp. 1-12.
IEEE DOI Perceptual Grouping. BibRef 9001

Reed, T.R., Wechsler, H.,
Spatial/Spatial-Frequency Representations for Image Segmentation and Grouping,
IVC(9), No. 3, June 1991, pp. 175-193.
WWW Link. BibRef 9106

Reed, T.R., Wechsler, H., and Werman, M.,
Texture Segmentation Using a Diffusion Region Growing Technique,
PR(23), No. 9, 1990, pp. 953-960.
WWW Link. BibRef 9000

Tuceryan, M., Jain, A.K.,
Texture Segmentation Using Voronoi Polygons,
PAMI(12), No. 2, February 1990, pp. 211-216.
IEEE DOI BibRef 9002
Earlier: Add A3: Lee, Y., CVPR88(94-99).
IEEE DOI BibRef

Raja, N.S., Tuceryan, M., Jain, A.K.,
Texture segmentation on two high-performance computers,
ICPR90(II: 601-605).
IEEE DOI 9208
BibRef

Hsiao, J.Y., and Sawchuk, A.A.,
Supervised Textured Image Segmentation Using Feature Smoothing and Probabilistic Relaxation Techniques,
PAMI(11), No. 12, December 1989, pp. 1279-1292.
IEEE DOI BibRef 8912
And:
Unsupervised Textured Image Segmentation Using Feature Smoothing and Probabilistic Relaxation Techniques,
CVGIP(48), No. 1, October 1989, pp. 1-21.
WWW Link. Relaxation. BibRef

Raafat, H.M., and Wong, A.K.C.,
A Texture Information-Directed Region Growing Algorithm for Image Segmentation and Region Classification,
CVGIP(43), No. 1, July 1988, pp. 1-21.
WWW Link. Segmentation, Region Growing. Find texturally homogeneous core regions, and grow (classify) to include blocks in the image adjacent to the core regions. A nice segmentation of a fish. BibRef 8807

Caelli, T.M.,
An Adaptive Computational Model for Texture Segmentation,
SMC(18), 1988, pp. 9-17. BibRef 8800

Carevic, D., Caelli, T.M.,
Adaptive Gabor Filters for Texture Segmentation,
ICPR96(II: 606-610).
IEEE DOI 9608
(Curtin Univ. of Technology, AUS) BibRef

Nguyen, H.H.[Hong Hai], Cohen, P.[Paul],
Gibbs Random Fields, Fuzzy Clustering, and the Unsupervised Segmentation of Textured Images,
GMIP(55), No. 1, January 1993, pp. 1-??. BibRef 9301

Lee, T.S., Mumford, D., and Yuille, A.L.,
Texture Segmentation by Minimizing Vector-Valued Energy Functionals: The Coupled-Membrane Model,
ECCV92(165-173).
Springer DOI BibRef 9200

Tuceryan, M.,
Moment-Based Texture Segmentation,
PRL(15), No. 7, July 1994, pp. 659-668. BibRef 9407 ICPR92(III:45-48).
IEEE DOI 9208
BibRef

Zamperoni, P.,
Model-Free Texture Segmentation Based on Distances Between First-Order Statistics,
DSP(5), No. 4, October 1995, pp. 197-225. BibRef 9510

Philipp-Foliguet, S.[Sylvie], Zamperoni, P.,
Segmentation and Contour Closing of Textured and Non-Textured Images Using Distances Between Textures,
ICIP96(III: 125-128).
IEEE DOI BibRef 9600

Lu, S.W., Xu, H.,
Textured Image Segmentation Using Autoregressive Model and Artificial Neural-Network,
PR(28), No. 12, December 1995, pp. 1807-1817.
WWW Link. BibRef 9512

Jain, A.K., Karu, K.,
Learning Texture-Discrimination Masks,
PAMI(18), No. 2, February 1996, pp. 195-205.
IEEE DOI Learning. Neural Networks. Discusses the advantages of NN over standard multi-channel classification. BibRef 9602

Corneloup, G., Moysan, J., Magnin, I.E.,
BScan Image Segmentation by Thresholding Using Cooccurrence Matrix Analysis,
PR(29), No. 2, February 1996, pp. 281-296.
WWW Link. BibRef 9602

Beck, J.[Jacob],
Texture Segregation in Chromatic Element-Arrangement Patterns,
AIU96(2-12). BibRef 9600

Brady, M.J.[Michael J.], and Xie, Z.Y.[Zhi-Yan],
Feature Selection for Texture Segmentation,
AIU96(28-44). BibRef 9600

Xie, Z.Y.[Zhi-Yan], Brady, M.J.[Michael J.],
Texture Segmentation Using Local Energy in Wavelet Scale Space,
ECCV96(I:304-313).
Springer DOI BibRef 9600
Earlier:
2D phase-independent local features for texture segmentation,
ICIP95(III: 640-643).
IEEE DOI 9510
BibRef

Zinzindohoue, P.,
Use of Texture Concept and Parametric Imaging Concept for Biomedical Image Segmentation,
Optik(103), No. 1, July 1996, pp. 31-33. 9607
BibRef

Kadaba, S.R., Gelfand, S.B., Kashyap, R.L.,
Bayesian Decision-Feedback for Segmentation of Binary Images,
IP(5), No. 7, July 1996, pp. 1163-1178.
IEEE DOI 9607
Bayes Nets. BibRef

Moon, J.H., Park, G.H., Chun, S.M., Choi, S.R.,
Shape-Adaptive Region Partitioning Method for Shape-Assisted Block-Based Texture Coding,
CirSysVideo(7), No. 1, February 1997, pp. 240-246.
IEEE Top Reference. 9703
BibRef

Lu, C.S., Chung, P.C., Chen, C.F.,
Unsupervised Texture Segmentation via Wavelet Transform,
PR(30), No. 5, May 1997, pp. 729-742.
WWW Link. 9705
BibRef

Lu, C.S.[Chun-Shien], Chung, P.C.[Pau-Choo],
Wold Features for Unsupervised Texture Segmentation,
ICPR98(Vol II: 1689-1693).
IEEE DOI 9808
BibRef

Hwang, W.L.[Wen-Liang], Lu, C.S.[Chun-Shien], Chung, P.C.[Pau-Choo],
Segmentation of Perspective Textured Planes through the Ridges of Continuous Wavelet Transform,
JVCIR(12), No. 2, June 2001, pp. 201-216.
DOI Link 0201
BibRef
Earlier: A2, A1, A3:
Segmentation of 3D textured images using continuous wavelet transform,
ICIP97(I: 235-238).
IEEE DOI 9710
BibRef

Wang, D.L., Terman, D.,
Image Segmentation Based on Oscillatory Correlation,
NeurComp(9), No. 4, May 15 1997, pp. 805-836. 9706
BibRef
And: Correction: NeurComp(9), No. 7, October 1 1997, pp. 1623-1626. BibRef

Jacquelin, C., Aurengo, A., Hejblum, G.,
Evolving Descriptors for Texture Segmentation,
PR(30), No. 7, July 1997, pp. 1069-1079.
WWW Link. 9707
BibRef

Nickels, K.M.[Kevin M.], Hutchinson, S.A.[Seth A.],
Textured Image Segmentation: Returning Multiple Solutions,
IVC(15), No. 10, October 1997, pp. 781-795.
WWW Link. 9710
BibRef

Raghu, P.P., Poongodi, R., Yegnanarayana, B.,
Unsupervised Texture Classification Using Vector Quantization and Deterministic Relaxation Neural Network,
IP(6), No. 10, October 1997, pp. 1376-1387.
IEEE DOI 9710
BibRef

Raghu, P.P., Yegnanarayana, B.,
Supervised Texture Classification Using a Probabilistic Neural-Network and Constraint Satisfaction Model,
TNN(9), No. 3, May 1998, pp. 516-522. 9805
BibRef

Bhattacharya, U., Chaudhuri, B.B., Parui, S.K.,
An MLP-Based Texture Segmentation Method without Selecting a Feature Set,
IVC(15), No. 12, December 1997, pp. 937-948.
WWW Link. 9802
BibRef
Earlier: A1, A3, A2:
An MLP-Based Texture Segmentation Technique Which Does Not Require a Feature Set,
ICPR96(II: 805-809).
IEEE DOI 9608
(Indian Statistical Institute, IND) BibRef

Pichler, O., Teuner, A., Hosticka, B.J.,
An Unsupervised Texture Segmentation Algorithm with Feature Space Reduction and Knowledge Feedback,
IP(7), No. 1, January 1998, pp. 53-61.
IEEE DOI 9801
BibRef

Hsin, H.C., Li, C.C.,
An Experiment on Texture Segmentation Using Modulated Wavelets,
SMC-A(28), No. 5, September 1998, pp. 720.
IEEE Top Reference. BibRef 9809

Hsin, H.C.,
Texture Segmentation Using Modulated Wavelet Transform,
IP(9), No. 7, July 2000, pp. 1299-1302.
IEEE DOI 0006
BibRef

Hsin, H.C.,
Texture segmentation in the joint photographic expert group 2000 domain,
IET-IPR(5), No. 6, 2011, pp. 554-559.
DOI Link 1108
JPEG BibRef

Ojala, T.[Timo], Pietikäinen, M.[Matti],
Unsupervised texture segmentation using feature distributions,
PR(32), No. 3, March 1999, pp. 477-486.
WWW Link. BibRef 9903
Earlier: CIAP97(I: 311-318).
Springer DOI 9709
BibRef
And: UMDTR3685, September 1996.
WWW Link. A split-and-merge scheme gives coarse segmentation and initial classification information, which is then used to improve the region boundaries. BibRef

Chen, J.[Jie], Zhao, G.Y.[Guo-Ying], Salo, M., Rahtu, E., Pietikainen, M.[Matti],
Automatic Dynamic Texture Segmentation Using Local Descriptors and Optical Flow,
IP(22), No. 1, January 2013, pp. 326-339.
IEEE DOI 1301
BibRef

Chen, J.[Jie], Zhao, G.Y.[Guo-Ying], Pietikainen, M.[Matti],
Unsupervised dynamic texture segmentation using local descriptors in volumes,
ICPR12(3622-3625).
WWW Link. 1302
BibRef

Hong, X.P.[Xiao-Peng], Zhao, G.Y.[Guo-Ying], Pietikainen, M.[Matti], Chen, X.L.[Xi-Lin],
Combining LBP Difference and Feature Correlation for Texture Description,
IP(23), No. 6, June 2014, pp. 2557-2568.
IEEE DOI 1406
BibRef
Earlier:
Combining local and global correlation for texture description,
ICPR12(2756-2759).
WWW Link. 1302
Correlation BibRef

Huang, X.H.[Xiao-Hua], Zhao, G.Y.[Guo-Ying], Hong, X.P.[Xiao-Peng], Pietikäinen, M.[Matti], Zheng, W.M.[Wen-Ming],
Texture Description with Completed Local Quantized Patterns,
SCIA13(1-10).
Springer DOI 1311
BibRef

Ghahramani, M., Zhao, G.Y.[Guo-Ying], Pietikäinen, M.[Matti],
Incorporating Texture Intensity Information into LBP-Based Operators,
SCIA13(66-75).
Springer DOI 1311
LBP: Local Binary Pattern BibRef

Chen, J.[Jie], Zhao, G.Y.[Guo-Ying], Pietikainen, M.[Matti],
An improved local descriptor and threshold learning for unsupervised dynamic texture segmentation,
MLMotion09(460-467).
IEEE DOI 0910
BibRef
Earlier:
Unsupervised dynamic texture segmentation using local spatiotemporal descriptors,
ICPR08(1-4).
IEEE DOI 0812
See also Boosted multi-resolution spatiotemporal descriptors for facial expression recognition. BibRef

Dente, J.A., Vilela Mendes, R., Lambert, A., Lima, R.,
The bi-orthogonal decomposition in image processing: Signal analysis and texture segmentation,
SP:IC(8), No. 2, March 1996, pp. 131-148.
WWW Link. BibRef 9603

Yoshimura, M.[Motohide], Oe, S.[Shunichiro],
Evolutionary segmentation of texture image using genetic algorithms towards automatic decision of optimum number of segmentation areas,
PR(32), No. 12, December 1999, pp. 2041-2054.
WWW Link. BibRef 9912

He, H.[Hao], Chen, Y.Q.[Yan Qiu],
Unsupervised texture segmentation using resonance algorithm for natural scenes,
PRL(21), No. 6-7, June 2000, pp. 741-757. 0006
BibRef

Bresch, M.[Manfred], Hosticka, B.J.[Bedrich J.], Schrey, O.[Olaf],
Invariant texture segmentation with reduced illumination sensitivity,
SP(81), No. 3, March 2001, pp. 453-463.
HTML Version. 0105
BibRef

Malik, J.[Jitendra], Belongie, S.J.[Serge J.], Leung, T.[Thomas], Shi, J.B.[Jian-Bo],
Contour and Texture Analysis for Image Segmentation,
IJCV(43), No. 1, June 2001, pp. 7-27.
DOI Link Or:
PS File. 0108
BibRef

Malik, J., Belongie, S.J., Shi, J., Leung, T.,
Textons, Contours and Regions: Cue Integration in Image Segmentation,
ICCV99(918-925).
IEEE DOI Or:
PS File. BibRef 9900

de Backer, S., Scheunders, P.,
Texture segmentation by frequency-sensitive elliptical competitive learning,
IVC(19), No. 9-10, August 2001, pp. 639-648.
WWW Link. 0108
BibRef
Earlier: CIAP99(64-69).
IEEE DOI 9909
BibRef

Scheunders, P., de Backer, S.,
High-dimensional clustering using frequency sensitive competitive learning,
PR(32), No. 2, February 1999, pp. 193-202.
WWW Link. BibRef 9902

de Backer, S.[Steve], Scheunders, P.[Paul],
A competitive elliptical clustering algorithm,
PRL(20), No. 11-13, November 1999, pp. 1141-1147. 0001
BibRef

Luo, J.B.[Jie-Bo], Savakis, A.E.[Andreas E.],
Self-supervised texture segmentation using complementary types of features,
PR(34), No. 11, November 2001, pp. 2071-2082.
WWW Link. 0108
BibRef

Luo, J.,
Two-stage Texture Segmentation Using Complementary Features,
ICIP00(Vol III: 564-567).
IEEE DOI 0008
BibRef

Garcìa-Sevilla, P.[Pedro], Petrou, M.[Maria],
Classification of Binary Textures Using the 1-D Boolean Model,
IP(8), No. 10, October 1999, pp. 1457-1462.
IEEE DOI BibRef 9910

Garcìa-Sevilla, P.[Pedro], Petrou, M.[Maria],
Analysis of Irregularly Shaped Texture Regions,
CVIU(84), No. 1, October 2001, pp. 62-76.
DOI Link 0203
BibRef
Earlier:
Analysis of Irregularly Shaped Texture Regions: a Comparative Study,
ICPR00(Vol III: 1068-1071).
IEEE DOI 0009
BibRef

Rao, P.V.N.[P. V. Narasimha], Sai, M.V.R.S.[M. V. R. Sesha], Sreenivas, K., Rao, M.V.K.[M. V. Krishna], Rao, B.R.M., Dwivedi, R.S., Venkataratnam, L.,
Textural analysis of IRS-1D panchromatic data for land cover classification,
JRS(23), No. 17, September 2002, pp. 3327-3345.
WWW Link. 0211
BibRef

Fischer, B.[Bernd], Buhmann, J.M.[Joachim M.],
Path-based clustering for grouping of smooth curves and texture segmentation,
PAMI(25), No. 4, April 2003, pp. 514-519.
IEEE Abstract. 0304
Handling nonlocal cues based on manifold clustering for textures and contours. See also Bagging for path-based clustering. BibRef

Fischer, B.[Bernd], Zöller, T.[Thomas], Buhmann, J.M.[Joachim M.],
Path Based Pairwise Data Clustering with Application to Texture Segmentation,
EMMCVPR01(235-250).
Springer DOI 0205
BibRef

Fischer, B., Buhmann, J.M.,
Data Resampling for Path Based Clustering,
DAGM02(206 ff.).
Springer DOI 0303
BibRef

Fischer, B.[Bernd], Zöller, T.[Thomas], Buhmann, J.M.[Joachim M.],
Perceptual Grouping by Path Based Clustering,
PercOrg01(xx-yy). 0106
BibRef

Orbanz, P.[Peter], Buhmann, J.M.[Joachim M.],
Nonparametric Bayesian Image Segmentation,
IJCV(77), No. 1-3, May 2008, pp. 25-45.
Springer DOI 0803
BibRef
Earlier:
Smooth Image Segmentation by Nonparametric Bayesian Inference,
ECCV06(I: 444-457).
Springer DOI 0608
See also Bayesian Order-Adaptive Clustering for Video Segmentation. BibRef

Karmakar, G.C.[Gour C.], Dooley, L.S.[Laurence S.],
A generic fuzzy rule based image segmentation algorithm,
PRL(23), No. 10, August 2002, pp. 1215-1227.
Elsevier DOI 0205
BibRef
Earlier:
Extended Fuzzy Rules for Image Segmentation,
ICIP01(III: 1099-1102).
IEEE DOI 0108
BibRef

Ali, M.A., Karmakar, G.C., Dooley, L.S.,
Fuzzy Image Segmentation of Generic Shaped Clusters,
ICIP05(II: 1202-1205).
IEEE DOI 0512
BibRef

Dooley, L.S., Karmakar, G.C., Murshed, M.,
A fuzzy rule-based colour image segmentation algorithm,
ICIP03(I: 977-980).
IEEE DOI 0312
BibRef

Karmakar, G.C., Dooley, L.S., Marshed, M.,
Fuzzy rule for image segmentation incorporating texture features,
ICIP02(I: 797-800).
IEEE DOI 0210
BibRef

Kurnaz, M.N.[Mehmet Nadir], Dokur, Z.[Zümray], Ölmez, T.[Tamer],
Segmentation of remote-sensing images by incremental neural network,
PRL(26), No. 8, June 2005, pp. 1096-1104.
WWW Link. 0506
BibRef

Reyes-Aldasoro, C.C., Bhalerao, A.H.,
The Bhattacharyya space for feature selection and its application to texture segmentation,
PR(39), No. 5, May 2006, pp. 812-826.
WWW Link. Feature selection; Bhattacharyya distance/space; Texture segmentation 0604
BibRef

Reyes Aldasoro, C.C., Bhalerao, A.H.,
Volumetric Texture Segmentation by Discriminant Feature Selection and Multiresolution Classification,
MedImg(26), No. 1, January 2007, pp. 1-14.
IEEE DOI 0701
BibRef

Bhalerao, A.H., Rajpoot, N.M.,
Discriminant Feature Selection for Texture Classification,
BMVC03(xx-yy).
HTML Version. 0409
BibRef

Intajag, S., Paithoonwatanakij, K., Cracknell, A.P.,
Iterative satellite image segmentation by fuzzy hit-or-miss and homogeneity index,
VISP(153), No. 2, April 2006, pp. 206-214.
DOI Link 0604
BibRef

Manduchi, R.[Roberto],
Learning Outdoor Color Classification,
PAMI(28), No. 11, November 2006, pp. 1713-1723.
IEEE DOI 0609
BibRef
Earlier:
Learning Outdoor Color Classification from Just One Training Image,
ECCV04(Vol IV: 402-413).
Springer DOI 0405
Color Constancy. Explicit illumination estimation and compensation. New scene contains some of the surfaces from the one training sample. BibRef

Manduchi, R.[Roberto],
Mixture Models and the Segmentation of Multimodal Textures,
CVPR00(I: 98-104).
IEEE DOI 0005
BibRef
Earlier:
A Cluster Grouping Technique for Texture Segmentation,
ICPR00(Vol III: 1060-1063).
IEEE DOI 0009
BibRef

Kampel, M.[Martin], Sablatnig, R.[Robert],
Rule based system for archaeological pottery classification,
PRL(28), No. 6, 15 April 2007, pp. 740-747.
WWW Link. 0703
BibRef
Earlier:
Automated segmentation of archaeological profiles for classification,
ICPR02(I: 57-60).
IEEE DOI 0211
BibRef

Archaeological ceramics; Typology and classification; Curvature analysis; 3D acquisition

Epifanio, I.[Irene], Soille, P.[Pierre],
Morphological Texture Features for Unsupervised and Supervised Segmentations of Natural Landscapes,
GeoRS(45), No. 4, April 2007, pp. 1074-1083.
IEEE DOI 0704
BibRef

Zhang, F.[Fan], Ye, X.Q.[Xiao-Qiong], Liu, W.Y.[Wen-Yu],
Image Decomposition and Texture Segmentation via Sparse Representation,
SPLetters(15), No. 1, 2008, pp. 641-644.
IEEE DOI 0811
BibRef

Li, N., Huo, H., Fang, T.,
A Novel Texture-Preceded Segmentation Algorithm for High-Resolution Imagery,
GeoRS(48), No. 7, July 2010, pp. 2818-2828.
IEEE DOI 1007
BibRef

Lin, C.H.[Chuen-Horng], Syu, Y.J.[Yu-Jhuang],
Fast segmentation of porcelain images based on texture features,
JVCIR(21), No. 7, October 2010, pp. 707-721.
Elsevier DOI 1003
Digital archiving; Porcelain; Texture feature; Coarseness; Contrast; Directionality; Gradient; Principal component analysis; Morphological processing; Segmentation BibRef

Lehmann, F.[Frederic],
Turbo Segmentation of Textured Images,
PAMI(33), No. 1, January 2011, pp. 16-29.
IEEE DOI 1011
Bayesian modeling, texture is based on 2 1-D fields (row, column). Use technique similar to turbo coding. BibRef

Briceño-Arias, L.M., Combettes, P.L., Pesquet, J.C., Pustelnik, N.,
Proximal Algorithms for Multicomponent Image Recovery Problems,
JMIV(41), No. 1-2, September 2011, pp. 3-22.
WWW Link. 1108
BibRef
Earlier:
Proximal method for geometry and texture image decomposition,
ICIP10(2721-2724).
IEEE DOI 1009
See also Parallel Proximal Algorithm for Image Restoration Using Hybrid Regularization. BibRef

Wang, L.F.[Ling-Feng], Wu, H.Y.[Huai-Yu], Pan, C.H.[Chun-Hong],
Region-based image segmentation with local signed difference energy,
PRL(34), No. 6, 15 April 2013, pp. 637-645.
Elsevier DOI 1303
Image segmentation; Level set; Local signed difference; Local separability; Global consistency BibRef

Wang, L.F.[Ling-Feng], Yu, Z.Y.[Ze-Yun], Pan, C.H.[Chun-Hong],
Medical Image Segmentation Based on Novel Local Order Energy,
ACCV10(II: 148-159).
Springer DOI 1011
BibRef

Wang, L.F.[Ling-Feng], Pan, C.H.[Chun-Hong],
Robust level set image segmentation via a local correntropy-based K-means clustering,
PR(47), No. 5, 2014, pp. 1917-1925.
Elsevier DOI 1402
Image segmentation BibRef

Su, Z.[Zhuo], Luo, X.N.[Xiao-Nan], Artusi, A.[Alessandro],
A novel image decomposition approach and its applications,
VC(29), No. 10, October 2013, pp. 1011-1023.
Springer DOI 1310
Explicit use of texture. BibRef

Yuan, J.Y.[Jiang-Ye], Wang, D.L.[De-Liang], Li, R.X.[Rong-Xing],
Remote Sensing Image Segmentation by Combining Spectral and Texture Features,
GeoRS(52), No. 1, January 2014, pp. 16-24.
IEEE DOI 1402
feature extraction BibRef

Yuan, J.Y.[Jiang-Ye], Wang, D.L.[De-Liang], Cheriyadat, A.M.,
Factorization-Based Texture Segmentation,
IP(24), No. 11, November 2015, pp. 3488-3497.
IEEE DOI 1509
feature extraction BibRef

Awate, S.P.[Suyash P.], Whitaker, R.T.[Ross T.],
Multiatlas Segmentation as Nonparametric Regression,
MedImg(33), No. 9, September 2014, pp. 1803-1817.
IEEE DOI 1410
convergence BibRef

Awate, S.P.[Suyash P.], Zhu, P.[Peihong], Whitaker, R.T.[Ross T.],
How Many Templates Does It Take for a Good Segmentation?: Error Analysis in Multiatlas Segmentation as a Function of Database Size,
MBIA12(103-114).
Springer DOI 1210
BibRef

Awate, S.P.[Suyash P.], Tasdizen, T.[Tolga], Whitaker, R.T.[Ross T.],
Unsupervised Texture Segmentation with Nonparametric Neighborhood Statistics,
ECCV06(II: 494-507).
Springer DOI 0608
BibRef

Byeon, W.M.[Won-Min], Liwicki, M.[Marcus], Breuel, T.M.[Thomas M.],
Scene analysis by mid-level attribute learning using 2D LSTM networks and an application to web-image tagging,
PRL(63), No. 1, 2015, pp. 23-29.
Elsevier DOI 1508
BibRef
Earlier:
Texture Classification Using 2D LSTM Networks,
ICPR14(1144-1149)
IEEE DOI 1412
BibRef
And: A1, A3, Only:
Supervised texture segmentation using 2D LSTM networks,
ICIP14(4373-4377)
IEEE DOI 1502
Recurrent neural network. Long short term memory (LSTM) recurrent neural network. Accuracy BibRef

Byeon, W.[Wonmin], Breuel, T.M.[Thomas M.], Raue, F.[Federico], Liwicki, M.[Marcus],
Scene labeling with LSTM recurrent neural networks,
CVPR15(3547-3555)
IEEE DOI 1510
BibRef

Medeiros, R.S., Scharcanski, J., Wong, A.,
Image segmentation via multi-scale stochastic regional texture appearance models,
CVIU(142), No. 1, 2016, pp. 23-36.
Elsevier DOI 1512
Image segmentation BibRef

Nobre, R.H., Rodrigues, F.A.A., Marques, R.C.P., Nobre, J.S., Neto, J.F.S.R., Medeiros, F.N.S.,
SAR Image Segmentation With Renyi's Entropy,
SPLetters(23), No. 11, November 2016, pp. 1551-1555.
IEEE DOI 1609
entropy BibRef

Wang, Q.[Qi], Spratling, M.W.,
A simplified texture gradient method for improved image segmentation,
SIViP(10), No. 4, April 2016, pp. 679-686.
WWW Link. 1604
BibRef

Wang, Z.Z.[Zhen-Zhou],
A New Approach for Robust Segmentation of the Noisy or Textured Images,
SIIMS(9), No. 3, 2016, pp. 1409-1436.
DOI Link 1610
BibRef


Gao, M.Q.[Ming-Qi], Chen, H.X.[Heng-Xin], Zheng, S.H.[Shen-Hai], Fang, B.[Bin], Zhang, L.[Lin],
Texture Image Segmentation Using Fused Features and Active Contour,
ICPR16(2036-2041)
IEEE DOI 1705
Active contours, Computational modeling, Feature extraction, Histograms, Image segmentation, Lighting, Robustness BibRef

Anibou, C., Saidi, M.N., Aboutajdine, D.[Driss],
Textured image segmentation via scattering transform and score fusion,
ISIVC16(24-28)
IEEE DOI 1704
Convolution BibRef

Zohrizadeh, F.[Fariba], Kheirandishfard, M.[Mohsen], Ghasedidizaji, K.[Kamran], Kamangar, F.[Farhad],
Reliability-Based Local Features Aggregation for Image Segmentation,
ISVC16(I: 193-202).
Springer DOI 1701
BibRef

Liang, X.D.[Xiao-Dan], Shen, X.H.[Xiao-Hui], Xiang, D., Feng, J.[Jiashi], Lin, L.[Liang], Yan, S.C.[Shui-Cheng],
Semantic Object Parsing with Local-Global Long Short-Term Memory,
CVPR16(3185-3193)
IEEE DOI 1612
BibRef
And: A1, A2, A4, A5, A6, Only:
Semantic Object Parsing with Graph LSTM,
ECCV16(I: 125-143).
Springer DOI 1611
BibRef

Li, Z.[Zhen], Gan, Y.[Yukang], Liang, X.D.[Xiao-Dan], Yu, Y.[Yizhou], Cheng, H.[Hui], Lin, L.[Liang],
LSTM-CF: Unifying Context Modeling and Fusion with LSTMs for RGB-D Scene Labeling,
ECCV16(II: 541-557).
Springer DOI 1611
Long Short-Term Memorized Context Fusion. BibRef

Salhi, K., Jaara, E.M., Alaoui, M.T.,
Pretreatment Approaches for Texture Image Segmentation,
CGiV16(221-225)
IEEE DOI 1608
feature extraction BibRef

Jeulin, D.[Dominique],
Probabilistic Hierarchical Morphological Segmentation of Textures,
ISMM15(313-324).
Springer DOI 1506
BibRef

Bull, G., Gao, J.B.[Jun-Bin], Antolovich, M.[Michael],
Image Segmentation Using Dictionary Learning and Compressed Random Features,
DICTA14(1-8)
IEEE DOI 1502
compressed sensing BibRef

Hsu, C.Y.[Chih-Yu], Hsieh, Y.Y.[Yi-Yu], Lo, K.H.[Kuo-Hua], Chuang, J.H.[Jen-Hui],
Incorporating texture information into region-based unsupervised image segmentation using textural superpixels,
ICIP14(4323-4327)
IEEE DOI 1502
Benchmark testing BibRef

Tian, H.Y.[Hai-Ying], Liu, Y.F.[Yan-Fei], Lai, J.H.[Jian-Huang],
A Histogram-Based Chan-Vese Model Driven by Local Contrast Pattern for Texture Image Segmentation,
ICPR14(954-959)
IEEE DOI 1412
Feature extraction BibRef

Skretting, K.[Karl], Engan, K.[Kjersti],
Energy Minimization by TeX-Erosion for Supervised Texture Segmentation,
ICIAR14(I: 207-214).
Springer DOI 1410
BibRef

Syed, A.H., Saber, E.[Eli], Messinger, D.[David],
Discrete Topology Based Hierarchical Segmentation for Efficient Object-Based Image Analyis: Application to Object Detection in High Resolution Satellite Images,
Hannover13(339-344).
DOI Link 1308
Merge to region based analysis. BibRef

Vantaram, S.R.[Sreenath Rao], Saber, E.[Eli], Messinger, D.[David],
An intensity-gradient-texture guided methodology for spatial segmentation of remotely sensed multi/hyperspectral imagery,
ICIP11(2885-2888).
IEEE DOI 1201
BibRef

Xia, G.S.[Gui-Song], Yuan, F.[Fei],
Texture Segmentation by Grouping Ellipse Ensembles via Active Contours,
BMVC11(xx-yy).
HTML Version. 1110
BibRef

lo Presti, L.[Liliana], La Cascia, M.[Marco],
Entropy-Based Localization of Textured Regions,
CIAP11(I: 616-625).
Springer DOI 1109
BibRef

Wang, Y.Q.[Yuan-Quan], Xiong, Y.[Yue], Lv, L.P.[Li-Ping], Zhang, H.[Hua], Cao, Z.L.[Zuo-Liang], Zhang, D.[Degan],
Vector-valued Chan-Vese model driven by local histogram for texture segmentation,
ICIP10(645-648).
IEEE DOI 1009
BibRef

He, W.[Wenda], Zwiggelaar, R.[Reyer],
Image classification: A novel texture signature approach,
ICIP10(2725-2728).
IEEE DOI 1009
BibRef

Guney, M.[Mesut], Arica, N.[Nafiz],
Maximally Stable Texture Regions,
ICPR10(4549-4552).
IEEE DOI 1008
BibRef

Li, F.[Fang], Liu, R.[Ruihua], Shen, C.M.[Chao-Min],
Feature extraction and soft segmentation of texture images,
IASP10(367-370).
IEEE DOI 1004
BibRef

Ding, J.D.[Jun-Di], Shen, J.L.[Jia-Lie], Pang, H.H.[Hwee-Hwa], Chen, S.C.[Song-Can], Yang, J.Y.[Jing-Yu],
Exploiting Intensity Inhomogeneity to Extract Textured Objects from Natural Scenes,
ACCV09(III: 1-10).
Springer DOI 0909
BibRef

Samanta, S.[Suranjana], Das, S.[Sukhendu],
A Fast Supervised Method of Feature Ranking and Selection for Pattern Classification,
PReMI09(80-85).
Springer DOI 0912
BibRef

Samanta, S.[Suranjana], Das, S.[Sukhendu],
Domain Adaptation Based on Eigen-Analysis and Clustering, for Object Categorization,
CAIP13(245-253).
Springer DOI 1308
BibRef

Samanta, S.[Suranjana], Das, S.[Sukhendu],
Unsupervised domain adaptation using manifold alignment for object and event categorization,
ICIP14(2739-2743)
IEEE DOI 1502
BibRef
And:
Unsupervised texture segmentation using feature selection and fusion,
ICIP09(2197-2200).
IEEE DOI 0911
Accuracy BibRef

Dahl, A.B.[Anders Bjorholm], Bogunovich, P.[Peter], Shokoufandeh, A.[Ali],
Texture Segmentation by Contractive Decomposition and Planar Grouping,
GbRPR09(343-352).
Springer DOI 0905
BibRef

Azzabou, N.[Noura], Paragios, N.[Nikos], Guichard, F.[Frédéric],
Uniform and Textured Regions Separation in Natural Images Towards MPM Adaptive Denoising,
SSVM07(418-429).
Springer DOI 0705
BibRef

Bak, E.S.[Eun-Sang],
Spatial Discriminant Function with Minimum Error Rate for Image Segmentation,
ICIAR04(I: 49-56).
Springer DOI 0409
BibRef

Fauzi, M.F.A., Lewis, P.H.,
A Fully Unsupervised Texture Segmentation Algorithm,
BMVC03(xx-yy).
HTML Version. 0409
BibRef

Paclik, P., Duin, R.P.W., van Kempen, G.M.P., Kohlus, R.,
Supervised segmentation of textures in backscatter images,
ICPR02(II: 490-493).
IEEE DOI
PDF File. 0211
See also Segmentation of multi-spectral images using the combined classifier approach. BibRef

Okombi-Diba, B.R., Miyamichi, J., Shoji, K.,
Segmentation of spatially variant image textures,
ICPR02(II: 917-920).
IEEE DOI 0211
BibRef

Gimel'farb, G.L.[Georgy L.],
Supervised Texture Segmentation by Maximising Conditional Likelihood,
EMMCVPR01(169-184).
Springer DOI 0205
BibRef

Ranguelova, E., Quinn, A.,
Difference Field Estimation for Enhanced 3-D Texture Segmentation,
BMVC02(Poster Session). 0208
BibRef

Celenk, M., Zhou, Q.A.[Qi-Ang], Chelberg, D.,
Equal-intensity map texture modeling for natural scene segmentation,
Southwest02(219-223).
IEEE Top Reference. 0208
BibRef

Kalitzin, S.N.,
Image Segmentation and Object Recognition by Bayesian Grouping,
ICIP00(Vol III: 580-583).
IEEE DOI 0008
BibRef

Uchiyama, T.[Toshio], Mukawa, N.[Naoki], Kaneko, H.[Hiroshi],
Estimation of Homogeneous Regions for Segmentation of Textured Images,
ICPR00(Vol III: 1072-1075).
IEEE DOI 0009
BibRef

Ruiz-del-Solar, J., Kottow, D.,
Neural-based Architectures for the Segmentation of Textures,
ICPR00(Vol III: 1080-1083).
IEEE DOI 0009
BibRef

Chanyagorn, P., Eom, K.,
Texture Segmentation Using Moving Average Modeling Approach,
ICIP00(Vol II: 116-119).
IEEE DOI 0008
BibRef

de Ridder, D.[Dick], Kittler, J.V., Lemmers, O.[Olaf], Duin, R.P.W.[Robert P.W.],
The Adaptive Subspace Map for Texture Segmentation,
ICPR00(Vol I: 216-220).
IEEE DOI 0009
BibRef

de Ridder, D., Kittler, J.V., Duin, R.P.W.,
Probabilistic PCA and ICA Subspace Mixture Models for Image Segmentation,
BMVC00(xx-yy).
PDF File. 0009
BibRef

Rosenholtz, R.,
Significantly Different Textures: A Computational Model of Pre-Attentive Texture Segmentation,
ECCV00(II: 197-211).
Springer DOI 0003
BibRef

Rackey, J., Pandit, M.,
Automatic Generation of Morphological Opening-Closing Sequences for Texture Segmentation,
ICIP99(III:217-221).
IEEE DOI BibRef 9900

Meier, T.[Thomas], Ngan, K.N.[King N.],
A Flexible Bayesian Framework for Image Segmentation,
ICIP99(III:203-207).
IEEE DOI BibRef 9900
Earlier:
Video object plane segmentation using a morphological motion filter and Hausdorff object tracking,
ICIP98(II: 652-656).
IEEE DOI 9810
BibRef

di Ruberto, C., Rodriguez, G., Vitulano, S.,
Image segmentation by texture analysis,
CIAP99(376-381).
IEEE DOI 9909
BibRef

Cruz, C.A.[Carlos A.],
Unsupervised Texture Segmentation Using Stochastic Version of the EM Algorithm and Data Fusion,
ICPR98(Vol II: 1005-1009).
IEEE DOI 9808
BibRef

Gimel'farb, G.L.[Georgy L.],
Supervised Segmentation by Pairwise Interactions: Do Gibbs Models Learn What We Expect?,
ICPR98(Vol I: 817-819).
IEEE DOI 9808
BibRef

Smith, G.[Guy], Longstaff, I.D.[I. Dennis],
Texture Segmentation Using Zero Crossings Information,
ICPR98(Vol I: 262-264).
IEEE DOI 9808
BibRef

You, J., Hungenahally, S., and Sattar, A.,
Fractional Discrimination for Texture Image Segmentation,
ICIP97(I: 220-223).
IEEE DOI BibRef 9700

Schwartz, O., Quinn, A.[Anthony],
Fast and Accurate Texture Based Image Segmentation,
ICIP96(III: 121-124).
IEEE DOI BibRef 9600

Martinez Perez, M.E.[Maria-Elena], Garza Jinich, M.,
Unsupervised Segmentation Based on Robust Estimation and Cooccurrence Data,
ICIP96(III: 943-945).
IEEE DOI BibRef 9600

Kacker, D.[Dhiraj], Bamberger, R.H., Flynn, P.J.,
New Subband Geometries for Image Texture Segmentation,
ICIP96(III: 971-974).
IEEE DOI BibRef 9600

Grau, A.[Antoni], Saludes, J.[Jordi],
Improved textured images segmentation using an energy functional,
CIAP97(I: 70-78).
Springer DOI 9709
BibRef

Casals, A., Amat, J., Grau, A.,
Texture Parametrization Method For Image Segmentation,
ECCV92(160-164).
Springer DOI BibRef 9200

Landraud, A.M.[Anne M.], Yum, S.O.[Suk Oh],
Texture segmentation using local phase differences in Gabor filtered images,
CIAP95(447-452).
Springer DOI 9509
BibRef

Wendling, L.[Laurent], Desachy, J.[Jacky], Paries, A.[Alain],
Pattern recognition from compressed labelled trees of fuzzy regions,
CIAP97(I: 174-181).
Springer DOI 9709
BibRef

Wendling, L., Zehana, M., Desachy, J.,
Fuzzy segmentation and structural knowledge for satellite image analysis,
CIAP95(703-708).
Springer DOI 9509
BibRef

Dhérété, P.[Pierre], Wendling, L.[Laurent], Desachy, J.[Jacky],
Fuzzy segmentation and astronomical images interpretation,
CIAP95(281-286).
Springer DOI 9509
BibRef

Ducksbury, P.G.,
Parallel Texture Region Segmentation using a Pearl Bayes Network,
BMVC93(xx-yy).
PDF File. 9309
BibRef

Desachy, J.,
A Knowledge-Based System for Satellite Image Interpretation,
ICPR92(I:198-201).
IEEE DOI BibRef 9200

Berthod, M.[Marc], Giraudon, G.[Gérard], Stromboni, J.P.[Jean Paul],
Deterministic pseudo-annealing: Optimization in Markov-Random-Fields an application to pixel classification,
ECCV92(67-71).
Springer DOI 9205
BibRef

Berthod, M.[Marc], Liu-Yu, S., Stromboni, J.P.[Jean Paul],
Deterministic pseudo-annealing: a new optimization scheme applied to texture segmentation,
ICPR92(II:533-536).
IEEE DOI 9208
BibRef

Booth, D.M., Mayhew, J.E.W., Pidcock, M.J.C.,
The Amplification of Textural Differences,
BMVC91(xx-yy).
PDF File. 9109
BibRef

Grunes, A., Sherlock, J.F.,
Texture segmentation for defining driveable regions,
BMVC90(xx-yy).
PDF File. 9009
BibRef

Perry, A., Lowe, D.G.,
Segmentation of Textured Images,
CVPR89(319-325).
IEEE DOI BibRef 8900

Kube, P.,
Polynomial Shift-Invariant Operators for Texture Segmentation,
CVPR88(100-104).
IEEE DOI BibRef 8800

Gagalowicz, A., Graffigne, C.,
Blind Texture Segmentation,
ICPR88(I: 46-50).
IEEE DOI BibRef 8800

Gong, X., Huang, N.K.,
Texture Segmentation Using Iterative Estimate of Energy States,
ICPR88(I: 51-55).
IEEE DOI BibRef 8800

Cohn, P., Nguyen, H.H.,
Unsupervised Bayesian Estimation for Segmenting Textured Images,
ICCV88(303-309).
IEEE DOI BibRef 8800

Dinstein, I., Fong, A.C., Ni, L.M., Wong, K.Y.,
Fast Discrimination Between Homogeneous and Textured Regions,
ICPR84(361-363). BibRef 8400

Boubekraoui, A., Zavidovique, B., Rivaillier, J.,
Region Detection Based on an Homogeneous Set of Local Operators for Hardware Implementation,
ICPR84(850-852). BibRef 8400

Xu, G.Y., Fu, K.S.,
Natural Scene Segmentation Based on Multiple Threshold and Textural Measurement,
ICPR84(1111-1113). BibRef 8400

Wermser, D.,
Unsupervised Segmentation by Use of a Texture Gradient,
ICPR84(1114-1116). BibRef 8400

Ando, S., and Doi, Y.,
Region Segmentation and Classification by Textural Features,
ICPR78(553-556). BibRef 7800

Tsai, W.H., and Fu, K.S.,
Image Segmentation and Recognition by Texture Discrimination: A Syntactic Approach,
ICPR78(560-564). BibRef 7800

Chapter on 2-D Region Segmentation Techniques, Snakes, Active Contours continues in
Texture Segmentation Using Filters .


Last update:Jun 24, 2017 at 21:08:28