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18 October 1999 Stability of co-occurence matrix-based image segmentation
Tianxu Zhang, Boyong Zhong, Zhen C. Zuo, Kai Lin, Xiaobing Cao
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Proceedings Volume 3808, Applications of Digital Image Processing XXII; (1999) https://doi.org/10.1117/12.365816
Event: SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, 1999, Denver, CO, United States
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.
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Tianxu Zhang, Boyong Zhong, Zhen C. Zuo, Kai Lin, and Xiaobing Cao "Stability of co-occurence matrix-based image segmentation", Proc. SPIE 3808, Applications of Digital Image Processing XXII, (18 October 1999); https://doi.org/10.1117/12.365816
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KEYWORDS
Image segmentation
Image processing algorithms and systems
Stochastic processes
Silicon
Algorithm development
Evolutionary algorithms
Human vision and color perception
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