基于遗传算法的图像阈值分割
IMAGE THRESHOLDING SEGMENTATION BASED ON GENETIC ALGORITHM
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摘要: 该文将遗传算法用于Otsu法和KSW熵法两种图像阈值分割方法中，进行了针对图像分割的遗传程序所需的参数设计，并采用遗传算法实现单阈值和多阈值图像分割。实验结果表明分割速度快于传统阈值分割法，缩短了运算时间。
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关键词:
- 图像处理; 遗传算法; 阈值
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. -
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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