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Proceedings Paper

Stability of co-occurence matrix-based image segmentation
Author(s): Tianxu Zhang; Boyong Zhong; Zhen C. Zuo; Kai Lin; Xiaobing Cao
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Paper Abstract

Suppose the image is a realization of a non-stationary random field composed of multiple Gauss-Markov random fields, then the co-occurrence matrix will be able to reflect certain statistical properties of the said random image. Based on this model, the problem of stability of the algorithm for co- occurrence matrix-based image segmentation is raised, certain factors that affect the stability of the performance of segmentation are discussed and methods for enhancing the stability of algorithm are given. As image segmentation is a typical ill-posed problem, there is in general no segmentation criterion and segmentation algorithm that can ensure unique and optimum image segmenting results. For this reason, an autonomous and intelligent segmentation algorithm based on the multi-agents structure is proposed. The correctness and value of application of this method have been proved by experimental results.

Paper Details

Date Published: 18 October 1999
PDF: 12 pages
Proc. SPIE 3808, Applications of Digital Image Processing XXII, (18 October 1999); doi: 10.1117/12.365816
Show Author Affiliations
Tianxu Zhang, Huazhong Univ. of Science and Technology (China)
Boyong Zhong, Huazhong Univ. of Science and Technology (China)
Zhen C. Zuo, Huazhong Univ. of Science and Technology (China)
Kai Lin, Huazhong Univ. of Science and Technology (China)
Xiaobing Cao, Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 3808:
Applications of Digital Image Processing XXII
Andrew G. Tescher, Editor(s)

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