基于遗传算法的干涉图像样的最佳熵研究  

Research on Genetic Algorithms Based Moire Image Binarization Algorithm

作　　者：李耀军[1] 严超华[1] 

机构地区：[1]南昌航空工业学院自动化学院,南昌330063

出　　处：《影像技术》2007年第6期23-25,共3页Image Technology

摘　　要：将遗传算法用于计算云纹干涉图像的二值化阈值,提出基于改进遗传算法的图像分割方法,采用Otsu公式,找出分割图像最优阈值。通过算法实现表明,利用遗传算法所得到的最佳阈值进行二值化处理,效果非常好。This paper elaborates on how to apply genetic algorithms to calculate the binarization threshold value of the moire image.In order to solve the problem how to segment an image,an image segmentation method based on improved genetic algorithms is proposed.The method can find out the optimal threshold of the segmentation object by the Otsu formula.It is proved through algorithm implementation that binarization with threshold value through genetic algorithms can achieve excellent effect.

关 键 词：干涉图像 遗传算法 二值化 阈值 图像分割 

分 类 号：O348.12[理学—固体力学] TP391[理学—力学]