基于遺傳算法的圖像閾值分割
IMAGE THRESHOLDING SEGMENTATION BASED ON GENETIC ALGORITHM
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摘要: 該文將遺傳算法用于Otsu法和KSW熵法兩種圖像閾值分割方法中，進(jìn)行了針對(duì)圖像分割的遺傳程序所需的參數(shù)設(shè)計(jì)，并采用遺傳算法實(shí)現(xiàn)單閾值和多閾值圖像分割。實(shí)驗(yàn)結(jié)果表明分割速度快于傳統(tǒng)閾值分割法，縮短了運(yùn)算時(shí)間。
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關(guān)鍵詞:
- 圖像處理; 遺傳算法; 閾值
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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