Color image segmentation with watershed on color histogram and Markov random fields

ICICS-PCM 2003 - Proceedings of the 2003 Joint Conference of the 4th International Conference on Information, Communications and Signal Processing and 4th Pacific-Rim Conference on Multimedia

Volumn 1, Issue , 2003, Pages 527-531

  Dai, Shengyang ^a   Zhang, Yu Jin ^a  

^a TSINGHUA UNIVERSITY   (China)

Author keywords

Highest confidence first; Image segmentation; Markov random fields; Watershed

Indexed keywords

ALGORITHMS; COLOR; COLOR IMAGE PROCESSING; GRAPHIC METHODS; MARKOV PROCESSES; MULTIMEDIA SIGNAL PROCESSING; SIGNAL PROCESSING; WATERSHEDS;

COARSE SEGMENTATION; COLOR DISTRIBUTION; COLOR IMAGE SEGMENTATION; HIGHEST CONFIDENCE FIRST; HUMAN PERCEPTION; MARKOV RANDOM FIELDS; REAL COLOR IMAGES; WATER-SHED ALGORITHM;

IMAGE SEGMENTATION;

EID: 63049121283     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICICS.2003.1292508     Document Type: Conference Paper

References (12)

1. P. B. Chou, C. M. Brown, "the theory and practice of Bayesian image labeling", International Journal of Computer Vision, Vol. 4, pp. 185-210,1990.
2. S. Beucher, "Watersheds of functions and picture segmentation", Proc. ICASSP, pp. 1928-1931, 1982.
3. L. Vincent, P. Soille, "Watersheds in digital spaces: an efficient algorithm based on immersion simulations", IEEE Trans. PAMI, Vol. 13, pp. 583-598, 1991.
4. J. Roerdink, A. Meijster, "The watershed transform: definitions, algorithms and parallelization strategies", Fundamental Informatica, Vol. 41, pp. 187-228, 2000.
5. S. H. Park, I. D. Yun, S. U. Lee. "Color image segmentation based on 3-D clustering: morphological approach", Pattern Recognition, Vol. 31(8), pp.1061-1076, 1998.
6. E. J. Pauwels, G. Frederix, "Finding salient regions in images", Journal of Computer Vision and Image Understand, Vol. 75 (1/2), pp. 73-85, 1999.
7. T. Geraud, P. Y. Strub, J. Darbon, "Color image segmentation based on automatic morphological clustering", Proc. IEEE ICIP, Vol. 3, pp. 70-73, 2001.
8. J. Mukherjee, "MRF clustering for segmentation of color images", Pattern Recognition Letters, Vol. 23, pp. 917-929, 2002.
9. X. Yang, J. Liu, "Unsupervised texture segmentation with one-step mean shift and boundary Markov random fields", Pattern Recognition Letters, Vol. 22, pp. 1073-1081, 2001.
10. H.D. Cheng, X.H. Jiang, Y. Sun, J. Wang, "Color image segmentation: advances and prospects", Pattern Recognition, Vol. 34, pp. 2259-2281, 2001.
11. S. Z. Li, Markov Random Field Modeling in Computer Vision, Springer, 1995, Chap. 8, pp. 217-225.
12. D. Geiger, F. Girosi, "Parallel and deterministic algorithms for MRF's: surface reconstruction", IEEE Trans. PAMI, Vol. 13(5), pp. 401-413, 1991.