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Volume 22 Issue 5
Sep.  2000
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Chong Jinsong, Zhou Xiaokuan, Wang Hongqi, Wang Rensheng. IMAGE THRESHOLDING SEGMENTATION BASED ON GENETIC ALGORITHM[J]. Journal of Electronics & Information Technology, 2000, 22(5): 785-790.
Citation: Chong Jinsong, Zhou Xiaokuan, Wang Hongqi, Wang Rensheng. IMAGE THRESHOLDING SEGMENTATION BASED ON GENETIC ALGORITHM[J]. Journal of Electronics & Information Technology, 2000, 22(5): 785-790.

IMAGE THRESHOLDING SEGMENTATION BASED ON GENETIC ALGORITHM

  • Received Date: 1999-07-22
  • Rev Recd Date: 1999-10-24
  • Publish Date: 2000-09-19
  • 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.
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  • Sahoo P K,Soltani S,Wong A K C.A survey of thresholding techniques.Computer Vision,Graphics,and Image Processing.1988,41(3):233-260.[2]Nobuyuki Otsu.A threshold selection method from gray-level histograms[J].IEEE Trans.on Systems,Man,and Cybernetics.1979,9(1):62-66[3]Kaput J N,Sahoo P K,Wong A K C.A new method of gray-level picture thresholding using the entropy of the histogram.Computer Vision,Graphics,and Image Processing.1985,29(2),273 285.[4]Chambers L.Practical Handbook of Genetic Algorithm Vol.I:Applications.Boca Raton:CRC Press,1995,Chap.1.[5]Michalewicz Z.Genetic Algorithm+Data Structure=Evolution Programs.3rd ed.Berlin:Springer Verlag,1996,Chap.2.
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