基于遗传算法的图像阈值分割

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Abstract Both Otsu method and KSW entropic thresholding segmentation method are implemented using Genetic Algorithm(GA) in this paper. Optimum parameters suitable for the image segmentation algorithm are also devised. Single thresholding and multithresholding methods are all presented using GA.The results show that GA can shorten the computational time compared with the classical methods.

Key words： Image processing Genetic algorithm Thresholding value

Received: 22 July 1999

PACS:

TN911.73

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	Chong Jinsong
	Zhou Xiaokuan
	Wang Hongqi
	Wang Rensheng

Cite this article:

Chong Jinsong,Zhou Xiaokuan,Wang Hongqi等. IMAGE THRESHOLDING SEGMENTATION BASED ON GENETIC ALGORITHM[J]. , 2000, 22(5): 785-790 .

URL:

http://jeit.ie.ac.cn/EN/ OR http://jeit.ie.ac.cn/EN/Y2000/V22/I5/785

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