Abstract
An improved two-dimensional entropic image segmentation method is presented in this paper. The method makes use of a new entropy function defined in a simple form, which can reduce computational amount notably. And the correctness of the new function is also proved. Then a scheme based on mutative scale chaos optimization is adopted to search for the optimal threshold. The results of simulation illustrate that efficiency of segmentation is improved significantly due to the new entropy function and searching method.
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Ma, C., Jiang, C. (2007). An Improved Entropy Function and Chaos Optimization Based Scheme for Two-Dimensional Entropic Image Segmentation. In: Wang, Y., Cheung, Ym., Liu, H. (eds) Computational Intelligence and Security. CIS 2006. Lecture Notes in Computer Science(), vol 4456. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74377-4_104
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DOI: https://doi.org/10.1007/978-3-540-74377-4_104
Publisher Name: Springer, Berlin, Heidelberg
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