8.8.10 Texture and Color, Color and Texture, for Segmentation

Chapter Contents (Back)
Texture Segmentation. Color.

Ryherd, S., Woodcock, C.,
Combining Spectral and Texture Data in the Segmentation of Remotely-Sensed Images,
PhEngRS(62), No. 2, February 1996, pp. 181-194. BibRef 9602

Chang, C.C.[Chin-Chou], Wang, L.L.[Ling-Ling],
Color Texture Segmentation for Clothing in a Computer-Aided Fashion Design System,
IVC(14), No. 9, October 1996, pp. 685-702.
WWW Link. Color Quantization. Color Cooccurrence Matrix. Application, Textiles. BibRef 9610

Eom, K.B.[Kie B.],
Segmentation of monochrome and color textures using moving average modeling approach,
IVC(17), No. 3/4, March 1999, pp. 233-244.
WWW Link. BibRef 9903

Hauta-Kasari, M., Parkkinen, J.[Jussi], Jaaskelainen, T.[Timo], Lenz, R.,
Multi-spectral Texture Segmentation Based on the Spectral Cooccurrence Matrix,
PAA(2), No. 4, 1999, pp. 275-284. 9911
BibRef
Earlier:
Generalized Co-occurrence Matrix for Multispectral Texture Analysis,
ICPR96(II: 785-789).
IEEE DOI 9608
(Lappeenranta Univ. of Technology, SF) BibRef

Li, H.Y.[Hong-Yu], Bochko, V.[Vladimir], Jaaskelainen, T.[Timo], Parkkinen, J.[Jussi], Shen, I.F.[I-Fan],
Kernel-based spectral color image segmentation,
JOSA-A(25), No. 11, November 2008, pp. 2805-2816.
WWW Link. 0811
BibRef

Portillo-García, J., Trueba-Santander, J.I., de Miguel-Vela, G., Alberola-López, C.,
Efficient multispectral texture segmentation using multivariate statistics,
VISP(145), No. 5, October 1998, pp. p.357. BibRef 9810

Tardon-Garcia, L.J.[Lorenzo Jose], Portillo-Garcia, J., Alberola-Lopez, C., Trueba-Santander, J.I.,
Hypothesis Testing for Coarse Region Estimation and Stable Point Determination Applied to Markovian Texture Segmentation,
ICIP96(III: 169-172).
IEEE DOI See also Markov Random Fields and the Disparity Gradient Constraint Applied to Stereo Correspondence. BibRef 9600

Mirmehdi, M.[Majid], Petrou, M.[Maria],
Segmentation of Color Textures,
PAMI(22), No. 2, February 2000, pp. 142-159.
IEEE DOI 0003
Multi-scale, perceptual segmentation. Cluster at coarsest and use to do the finer resolution. BibRef

Petrou, M., Mirmehdi, M., Coors, M.,
Perceptual Smoothing and Segmentation of Colour Textures,
ECCV98(I: 623).
Springer DOI BibRef 9800

Chen, K.M.[Kan-Min], Chen, S.Y.[Shu-Yuan],
Color texture segmentation using feature distributions,
PRL(23), No. 7, May 2002, pp. 755-771.
Elsevier DOI 0203
BibRef

Collet, C.[Christophe], Murtagh, F.[Fionn],
Multiband segmentation based on a hierarchical Markov model,
PR(37), No. 12, December 2004, pp. 2337-2347.
WWW Link. 0409
BibRef

Liapis, S., Sifakis, E.[Eftychis], Tziritas, G.[Georgios],
Colour and Texture Segmentation Using Wavelet Frame Analysis, Deterministic Relaxation, and Fast Marching Algorithms,
JVCIR(15), No. 1, March 2004, pp. 1-26.
WWW Link. 0402
BibRef
Earlier:
Color and/or Texture Segmentation Using Deterministic Relaxation and Fast Marching Algorithms,
ICPR00(Vol III: 617-620).
IEEE DOI 0009
From the number of classes, find the regions. See also Video Segmentation Using Fast Marching and Region Growing Algorithms. BibRef

Hu, X.Y.[Xiang-Yun], Tao, C.V.[C. Vincent], Prenzel, B.[Björn],
Automatic Segmentation of High-resolution Satellite Imagery by Integrating Texture, Intensity, and Color Features,
PhEngRS(71), No. 12, December 2005, pp. 1399-1406.
WWW Link. 0602
High-resolution satellite imagery can be automatically segmented into different regions requiring no a priori knowledge of the image content. BibRef

Chen, J.Q.[Jun-Qing], Pappas, T.N., Mojsilovic, A., Rogowitz, B.E.,
Adaptive perceptual color-texture image segmentation,
IP(14), No. 10, October 2005, pp. 1524-1536.
IEEE DOI 0510
BibRef
Earlier:
Perceptually-tuned multiscale color-texture segmentation,
ICIP04(II: 921-924).
IEEE DOI 0505
BibRef
Earlier:
Image segmentation by spatially adaptive color and texture features,
ICIP03(I: 1005-1008).
IEEE DOI 0312
BibRef
Earlier:
Adaptive image segmentation based on color and texture,
ICIP02(III: 777-780).
IEEE DOI 0210
BibRef

Depalov, D., Pappas, T.N., Li, D.G.[Dong-Ge], Gandhi, B.,
Perceptual Feature Selection for Semantic Image Classification,
ICIP06(2921-2924).
IEEE DOI 0610
BibRef

Wang, Y.G.[Yong-Gang], Yang, J.[Jie], Chang, Y.C.[Yu-Chou],
Color-texture image segmentation by integrating directional operators into JSEG method,
PRL(27), No. 16, December 2006, pp. 1983-1990.
WWW Link. 0611
See also Unsupervised Segmentation of Color-Texture Regions in Images and Video. Color image segmentation; Unsupervised segmentation; Edge detection; Region growing; Homogeneity measure BibRef

Wang, Y.G.[Yong-Gang], Yang, J.[Jie], Zhou, Y.[Yue], Wang, Y.Z.[Yu-Zhong],
Region partition and feature matching based color recognition of tongue image,
PRL(28), No. 1, 1 January 2007, pp. 11-19.
WWW Link. 0611
Computerized tongue diagnosis system; Color recognition; Color-texture segmentation; Feature matching; Locally linear embedding BibRef

Shi, L.L.[Li-Long], Funt, B.V.[Brian V.],
Quaternion color texture segmentation,
CVIU(107), No. 1-2, July-August 2007, pp. 88-96.
WWW Link. 0706
Quaternion color processing; Quaternion principal components analysis; Color texture analysis; Image segmentation; Color texture classification BibRef

Sengur, A.[Abdulkadir], Guo, Y.H.[Yan-Hui],
Color texture image segmentation based on neutrosophic set and wavelet transformation,
CVIU(115), No. 8, August 2011, pp. 1134-1144.
Elsevier DOI 1101
Neutrosophic set; Color texture image segmentation; Wavelet transform BibRef

Qazi, I.U.H.[Imtnan-Ul-Haque], Alata, O.[Olivier], Burie, J.C.[Jean-Christophe], Abadi, M.[Mohamed], Moussa, A.[Ahmed], Fernandez-Maloigne, C.[Christine],
Parametric models of linear prediction error distribution for color texture and satellite image segmentation,
CVIU(115), No. 8, August 2011, pp. 1245-1262.
Elsevier DOI 1101
Multichannel linear prediction models; Multivariate Gaussian distribution; Multivariate Gaussian mixture models; Wishart distribution; Color texture segmentation; IKONOS; QuickBird See also Choice of a pertinent color space for color texture characterization using parametric spectral analysis. BibRef

Destrempes, F.[Francois], Mignotte, M.[Max],
A statistical model for contours in images,
PAMI(26), No. 5, May 2004, pp. 626-638.
IEEE Abstract. 0404
BibRef
Earlier:
Unsupervised texture segmentation using a statistical wavelet-based hierarchical multi data model,
ICIP03(II: 1053-1056).
IEEE DOI 0312
BibRef
Earlier:
Unsupervised detection of contours using a statistical model,
ICIP02(II: 757-760).
IEEE DOI 0210
Uses Iterative Conditional Estimation for parameter estimation, Segmentation via simulated annealing. BibRef

Mignotte, M.[Max],
MDS-based segmentation model for the fusion of contour and texture cues in natural images,
CVIU(116), No. 9, September 2012, pp. 981-990.
Elsevier DOI 1208
Color textured image; Berkeley image database; Multidimensional scaling (MDS); Non-linear dimensionality reduction; Unsupervised image segmentation; Probability Rand Index (PRI); F-measure; Precision-recall framework BibRef

Mignotte, M.[Max],
Symmetry detection based on multiscale pairwise texture boundary segment interactions,
PRL(74), No. 1, 2016, pp. 53-60.
Elsevier DOI 1604
Berkeley Segmentation Dataset (BSDS300) See also Berkeley Segmentation Dataset and Benchmark, The. BibRef

Touati, R.[Redha], Mignotte, M.[Max],
MDS-based Multi-axial Dimensionality Reduction Model for Human Action Recognition,
CRV14(262-267)
IEEE DOI 1406
Correlation BibRef

Hedjam, R.[Rachid], Mignotte, M.[Max],
A hierarchical graph-based markovian clustering approach for the unsupervised segmentation of textured color images,
ICIP09(1365-1368).
IEEE DOI 0911
BibRef

Yang, H.Y.[Hong-Ying], Wang, X.Y.[Xiang-Yang], Wang, Q.Y.[Qin-Yan], Zhang, X.J.[Xian-Jin],
LS-SVM based image segmentation using color and texture information,
JVCIR(23), No. 7, October 2012, pp. 1095-1112.
Elsevier DOI 1209
Image segmentation; Least squares support vector machine; Homogeneity; Gabor filter; Arimoto entropy thresholding; Maximum second moment matrix; Color image; Local human visual sensitivity BibRef


Bouguila, N.[Nizar], Hammoud, R.I.[Riad I.],
Color texture classification by a discrete statistical model and feature selection,
ICIP09(1381-1384).
IEEE DOI 0911
BibRef

Pooransingh, A.[Akash], Radix, C.A.[Cathy-Ann], Kokaram, A.[Anil],
The path assigned mean shift algorithm: A new fast mean shift implementation for colour image segmentation,
ICIP08(597-600).
IEEE DOI 0810
BibRef

de Luis-García, R.[Rodrigo], Deriche, R.[Rachid], Rousson, M.[Mikael], Alberola-López, C.[Carlos],
Tensor Processing for Texture and Colour Segmentation,
SCIA05(1117-1127).
Springer DOI 0506
BibRef

Chang, Y.C.[Yu-Chou], Zhou, Y.[Yue], Wang, Y.G.[Yong-Gang],
Combined Color and Texture Segmentation Based on Fibonacci Lattice Sampling and Mean Shift,
ICIAR05(24-31).
Springer DOI 0509
BibRef

Mena, J.B., Malpica, J.A.,
Color Image Segmentation using the Dempster-Shafer Theory of Evidence for the Fusion of Texture,
PIA05(xx-yy).
PDF File. 0509
BibRef

Yu, S.Y.[Sheng-Yang], Zhang, Y.[Yan], Wang, Y.G.[Yong-Gang], Yang, J.[Jie],
Color-Texture Image Segmentation by Combining Region and Photometric Invariant Edge Information,
MCAM07(286-294).
Springer DOI 0706
BibRef

Wang, Y.Z.[Yu-Zhong], Yang, J.[Jie], Zhou, Y.[Yue],
Unsupervised Color-Texture Segmentation,
ICIAR04(I: 106-113).
Springer DOI 0409
BibRef

Nammalwar, P., Ghita, O., Whelan, P.F.,
Integration of feature distributions for colour texture segmentation,
ICPR04(I: 716-719).
IEEE DOI 0409
BibRef

Zoller, T., Hermes, L., Buhmann, J.M.,
Combined color and texture segmentation by parametric distributional clustering,
ICPR02(II: 627-630).
IEEE DOI 0211
BibRef

Fieguth, P.W.[Paul W.], Wesolkowski, S.[Slawo],
Highlight and Shading Invariant Color Image Segmentation Using Simulated Annealing,
EMMCVPR01(314-327).
Springer DOI 0205
BibRef
Earlier: A2, A1:
Adaptive color image segmentation using markov random fields,
ICIP02(III: 769-772).
IEEE DOI 0210
See also Hierarchical Region Mean-Based Image Segmentation. BibRef

Sharon, E.[Eitan], Brandt, A.[Achi], Basri, R.[Ronen],
Segmentation and Boundary Detection Using Multiscale Intensity Measurements,
CVPR01(I:469-476).
IEEE DOI 0110
Intesity contrast, texture and boundaries for segmentation. BibRef

Brook, A., Kimmel, R., Sochen, N.A.,
Geometry motivated variational segmentation for color images,
ScaleSpace01(xx-yy). 0106
BibRef

Chen, L.C., Barron, J.T., Papandreou, G., Murphy, K., Yuille, A.L.,
Semantic Image Segmentation with Task-Specific Edge Detection Using CNNs and a Discriminatively Trained Domain Transform,
CVPR16(4545-4554)
IEEE DOI 1612
BibRef

Konishi, S.[Scott], Yuille, A.L.,
Statistical Cues for Domain Specific Image Segmentation with Performance Analysis,
CVPR00(I: 125-132).
IEEE DOI 0005
BibRef

Tsai, H.M.[Hung-Ming], Lai, C.C.[Chih-Ching], Tseng, D.C.[Din-Chang],
Unsupervised Texture Segmentation for Multispectral Remote-Sensing Images,
ICPR98(Vol II: 1630-1632).
IEEE DOI 9808
BibRef

Rui, Y.[Yong], She, A., Huang, T.S.,
Automated Region Segmentation Using Attraction-Based Grouping in Spatial-Color-Texture Space,
ICIP96(I: 53-56).
IEEE DOI BibRef 9600

Li, Z.Q.A.[Zhong Qi-Ang], Wen, D.W.[Dai Wei], Qing, L.[Li], Telfer, D.[Ducan],
Texture Image Segmentation: A Local Spectral Mapping Approach,
ICIP96(III: 117-120).
IEEE DOI BibRef 9600

Tremeau, A., Laget, B.,
A local spatiocolor analysis applied to pattern segmentation,
ICIP94(III: 1011-1015).
IEEE DOI 9411
BibRef

Funakubo, N.,
Region Segmentation of Biomedical Tissue Image Using Color Texture Feature,
ICPR84(30-32). BibRef 8400

Chapter on 2-D Region Segmentation Techniques, Snakes, Active Contours continues in
Other Segmentation Techniques .


Last update:Sep 18, 2017 at 11:34:11