A conditional random field approach to unsupervised texture image segmentation

Eurasip Journal on Advances in Signal Processing

Volumn 2010, Issue , 2010, Pages

  Li, Chang Tsun ^a  

^a UNIVERSITY OF WARWICK   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

CLASS LABELS; CONDITIONAL RANDOM FIELD; DISJOINT REGIONS; IMAGE BLOCKS; LOCAL INFORMATION; LONG RANGE INTERACTIONS; MARKOV RANDOM FIELD; MULTI-RESOLUTIONS; NEIGHBOURHOOD; OVER SEGMENTATION; PRIORI KNOWLEDGE; RANGE BLOCK; RANGE INFORMATION; TEXTURE IMAGE SEGMENTATION; TEXTURE SEGMENTATION;

RANDOM VARIABLES; TEXTURES;

IMAGE SEGMENTATION;

EID: 79251642487     PISSN: 16876172     EISSN: 16876180     Source Type: Journal    
DOI: 10.1155/2010/167942     Document Type: Article

References (30)

1. Wilson R., Li C.-T., A class of discrete multiresolution random fields and its application to image segmentation IEEE Transactions on Pattern Analysis and Machine Intelligence 2003 25 1 42 56
2. Aldasoro C. C. R., Bhalerao A., Volumetric texture segmentation by discriminant feature selection and multiresolution classification IEEE Transactions on Medical Imaging 2007 26 1 1 14
3. Athanasiadis E. I., Cavouras D. A., Glotsos D. T., Georgiadis P. V., Kalatzis I. K., Nikiforidis G. C., Segmentation of complementary DNA microarray images by wavelet-based markov random field model IEEE Transactions on Information Technology in Biomedicine 2009 13 6 1068 1074
4. Liu X., Langer D. L., Haider M. A., Yang Y., Wernick M. N., Yetik I. S., Prostate cancer segmentation with simultaneous estimation of Markov random field parameters and class IEEE Transactions on Medical Imaging 2009 28 6 906 915
5. Beaulieu J.-M., Touzi R., Segmentation of textured polarimetric SAR scenes by likelihood approximation IEEE Transactions on Geoscience and Remote Sensing 2004 42 10 2063 2072
6. Deng H., Clausi D. A., Unsupervised segmentation of synthetic aperture radar sea ice imagery using a novel Markov random field model IEEE Transactions on Geoscience and Remote Sensing 2005 43 3 528 537
7. Fjrtoft R., Delignon Y., Pieczynski W., Sigelle M., Tupin F., Unsupervised classification of radar images using hidden Markov chains and hidden Markov random fields IEEE Transactions on Geoscience and Remote Sensing 2003 41 3 675 686
8. De Grandi G. D., Lee J.-S., Schuler D. L., Target detection and texture segmentation in polarimetric SAR images using a wavelet frame: theoretical aspects IEEE Transactions on Geoscience and Remote Sensing 2007 45 11 3437 3453
9. Hazel G. G., Multivariate gaussian MRP for multispectral scene segmentation and anomaly detection IEEE Transactions on Geoscience and Remote Sensing 2000 38 3 1199 1211
10. Deng Y., Manjunath B. S., Unsupervised segmentation of color-texture regions in images and video IEEE Transactions on Pattern Analysis and Machine Intelligence 2001 23 8 800 810
11. Epifanio I., Soille P., Morphological texture features for unsupervised and supervised segmentations of natural landscapes IEEE Transactions on Geoscience and Remote Sensing 2007 45 4 1074 1083
12. Huang J., Liu Z., Wang Y., Joint scene classification and segmentation based on Hidden Markov Model IEEE Transactions on Multimedia 2005 7 3 538 550 (Pubitemid 40795052)
13. Mignotte M., Collet C., Prez P., Bouthemy P., Sonar image segmentation using an unsupervised hierarchical MRF model IEEE Transactions on Image Processing 2000 9 7 1216 1231
14. Gevers T., Image segmentation and similarity of color-texture objects IEEE Transactions on Multimedia 2002 4 4 509 516
15. Sarkar A., Biswas M. K., Kartikeyan B., Kumar V., Majumder K. L., Pal D. K., A MRF model-based segmentation approach to classification for multispectral imagery IEEE Transactions on Geoscience and Remote Sensing 2002 40 5 1102 1113
16. Wang Z., Boesch R., Color- and texture-based image segmentation for improved forest delineation IEEE Transactions on Geoscience and Remote Sensing 2007 45 10 3055 3062
17. Zhong P., Wang R., A multiple conditional random fields ensemble model for urban area detection in remote sensing optical images IEEE Transactions on Geoscience and Remote Sensing 2007 45 12 3978 3988
18. Hill P. R., Nishan Canagarajah C., Bull D. R., Image segmentation using a texture gradient based watershed transform IEEE Transactions on Image Processing 2003 12 12 1618 1633
19. Chatzis S. P., Varvarigou T. A., A fuzzy clustering approach toward Hidden Markov random field models for enhanced spatially constrained image segmentation IEEE Transactions on Fuzzy Systems 2008 16 5 1351 1361
20. Liang K.-H., Tjahjadi T., Adaptive scale fixing for multiscale texture segmentation IEEE Transactions on Image Processing 2006 15 1 249 256
21. Geman S., Geman D., STOCHASTIC RELAXATION, GIBBS DISTRIBUTIONS, AND THE BAYESIAN RESTORATION OF IMAGES IEEE Transactions on Pattern Analysis and Machine Intelligence 1984 6 6 721 741
22. Noda H., Shirazi M. N., Kawaguchi E., MRF-based texture segmentation using wavelet decomposed images Pattern Recognition 2002 35 4 771 782
23. Rezaee M. R., Van Der Zwet P. M. J., Lelieveldt B. P. F., van der Geest R. J., Reiber J. H. C., A multiresolution image segmentation technique based on pyramidal segmentation and fuzzy clustering IEEE Transactions on Image Processing 2000 9 7 1238 1248
24. Sagiv C., Sochen N. A., Zeevi Y. Y., Integrated active contours for texture segmentation IEEE Transactions on Image Processing 2006 15 6 1633 1646
25. Jenssen R., Eltoft T., Independent component analysis for texture segmentation Pattern Recognition 2003 36 10 2301 2315
26. Xia Y., Feng D., Zhao R., Morphology-based multifractal estimation for texture segmentation IEEE Transactions on Image Processing 2006 15 3 614 623
27. Melas D. E., Wilson S. P., Double Markov random fields and Bayesian image segmentation IEEE Transactions on Signal Processing 2002 50 2 357 365
28. Wu J., Chung A. C. S., A segmentation model using compound Markov random fields based on a boundary model IEEE Transactions on Image Processing 2007 16 1 241 252
29. Besag J., Spatial interaction and the statistical analysis of lattice systems Journal of the Royal Statistical Society (Serial B) 1964 36 192 236
30. Li C.-T., Approach to reducing the labeling cost of Markov random fields within an infinite label space Signal Processing 2001 81 3 609 620