Electro-Optic Technology Application, Volume. 34, Issue 2, 46(2019)
MMW Image Segmentation Based on Genetic Algorithm Maximum Entropy Method
References(5)
[1] [1] Hu T. Concealed contraband recognition by integrating improved fuzzy clustering with moment invariant[J]. Journal of Information & Computational Science, 2012(2): 451-459.
[5] [5] Bhanu B Lee S Ming J. Adaptive image segmentation using agenetic algorithm[J]. IEEE Transactions on Systems, Man and Cybernetics, 1995, 25(12): 1543-1567.
[6] [6] Loboscog. A genetic algorithm for image segmentation[C]//The 11th International Conference on Image Analysis and Processings, Palermo Italy, 2001: 262-266.
[7] [7] Sahoo P K, Soltani S, Wong A K C. A survey of thresholding techniques[J]. Computer Vision, Graphics, and Image Processing,1988, 41(3): 233-260.
[12] [12] LIAO Ping-sung. A fast algorithm for muti level thresholding[J]. Journal of Information Sience and Engineering, 2001, 17: 713-727.
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LI Pei-shan, SHI Chun-jing, HAO Yong-ping. MMW Image Segmentation Based on Genetic Algorithm Maximum Entropy Method[J]. Electro-Optic Technology Application, 2019, 34(2): 46
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Received: Feb. 11, 2019
Accepted: --
Published Online: May. 13, 2019
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CSTR:32186.14.
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