基于遗传算法的干涉图像的最佳熵研究  

Research on Optimal Threshold of Moire Image Based on Genetic Algorithms

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,江西南昌330063

出　　处：《山西电子技术》2007年第4期35-36,61,共3页Shanxi Electronic 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 how to apply genetic algorithms to calculate the binarization threshold value of the moire image. In order to solve the problem image segmenting, 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, the effect is excellent to process the binarization for the threshold value gained by genetic algorithms.

关 键 词：干涉图像 遗传算法 阈值 图像分割 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]