CHEN Wen-kai, SUN Yun-yan, ZHAO Guo-xin, CUI Gang. The Image Segmentation Method Based on Immune-genetic Algorithms[J]. Journal of Beijing University of Technology, 2006, 32(6): 510-513. DOI: 10.3969/j.issn.0254-0037.2006.06.008
Citation:
CHEN Wen-kai, SUN Yun-yan, ZHAO Guo-xin, CUI Gang. The Image Segmentation Method Based on Immune-genetic Algorithms[J]. Journal of Beijing University of Technology, 2006, 32(6): 510-513. DOI: 10.3969/j.issn.0254-0037.2006.06.008
CHEN Wen-kai, SUN Yun-yan, ZHAO Guo-xin, CUI Gang. The Image Segmentation Method Based on Immune-genetic Algorithms[J]. Journal of Beijing University of Technology, 2006, 32(6): 510-513. DOI: 10.3969/j.issn.0254-0037.2006.06.008
Citation:
CHEN Wen-kai, SUN Yun-yan, ZHAO Guo-xin, CUI Gang. The Image Segmentation Method Based on Immune-genetic Algorithms[J]. Journal of Beijing University of Technology, 2006, 32(6): 510-513. DOI: 10.3969/j.issn.0254-0037.2006.06.008
The Image Segmentation Method Based on Immune-genetic Algorithms
An image segmentation method based on modified genetic algorithms is presented in this paper. The segmentation method is optimized and the entropy of histogram is taken as the segmentation quality criteria. This method can improve the speed of algorithms compared with traditional methods, especially in processing frame sequential images.