Image segmentation based on maximum-likelihood estimation and optimum entropy-distribution (MLE-OED)

Pattern Recognition Letters

Volumn 25, Issue 10, 2004, Pages 1133-1141

  Xie, J ^a   Tsui, H T ^a  

^a CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

EM; Entropy; Gradient; Segmentation

Indexed keywords

DATA ACQUISITION; ENTROPY; STATISTICAL METHODS;

ENTROPY DISTRIBUTION; GAUSSIAN DISTRIBUTIONS;

IMAGE SEGMENTATION;

IMAGE CLASSIFICATION;

EID: 2942621972     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patrec.2004.03.013     Document Type: Article

References (11)

1. Daniel G.-P. Chuang G. Extensive partition operators, gray-level connected operators, and region merging/classification segmentation algorithms: Theoretical links IEEE Trans. Image Process. 10 9 2001 1332-1345
2. Deng Y.N. Manjunath B.S. Unsupervised segmentation of color-texture regions in images and video IEEE Trans. Pattern Anal. Mach. Intell. 23 8 2001 800-810
3. Empster A.P.D. Maximum likelihood from incomplete data via the Em algorithm J. Roy. Statist. Soc. 29 1997 1-38
4. Ma, W.Y., Manjunath, B.S., 1997. Edge flow: A framework of boundary detection and image segmentation. In: IEEE Conference on Computer Vision and Pattern Recognition, San Juan, Puerto Rico, pp. 744-749
5. Punam K.S. Jayaram K.U. Optimum image thresholding via class uncertainty and region homogeneity IEEE Trans. Pattern Recog. Mach. Intell. 23 7 2001 689-706
6. Serge, B., Chad, C., 1998. Color- and texture-based image segmentation using EM and its application to content-based image retrieval. In: International Conference on Computer Vision, January, Bombay, India, pp. 675-682
7. Wang J.-P. Stochastic relaxation on partitions with connected components and its application to image segmentation IEEE Trans. Pattern Anal. Mach. Intell. 20 6 1998 619-636
8. Wells, W., Kikinis, R., Grimson, W., Jolesz, F., 1994. Statistical intensity correction and segmentation of magnetic resonance image data. In: SPIE the Third Conference on Visualization in Biomedical Computing, October
9. Xu C.Y. Jerry L.P. Snakes, shapes, and gradient vector flow IEEE Trans. Image Process. 7 3 1998 359-369
10. Zhu S.C. Alan Y. Region competition: Unifying snakes, region growing, and Bayes/MDL for multiband image segmentation IEEE Trans. Pattern Anal. Mach. Intell. 18 9 1996 884-900
11. Zhang Y.Y. Michael B. Stephen S. Segmentation of brain images through a hidden Markov random field model and the expectation-maximization algorithm IEEE Trans. Med. Imag. 20 1 2001 45-57