计算机工程与应用2011，Vol.47Issue(31)：157-159,170,4.DOI:10.3778/j.issn.1002-8331.2011.31.045
改进免疫遗传算法的零值绝缘子分割方法研究
Improved immune genetic algorithm for zero insulator imaging segmentation method
摘要
Abstract
According to the characteristics of zero resistance insulator infrared image with poor contrast, blur target edge, large noise and the target temperature slightly higher than the environment temperature, self-adaptive median filter and mean filter are used to de-noise from the original image in this paper and enhance image by log conversion.On this basis,an improved immune genetic algorithm for zero resistance insulators infrared thermal imaging segmentation method with otsu method and similarity method combined is proposed.This method takes otsu for fitness function, ensures the population diversity by adaptive extracting immune vaccine,vaccinating vaccine,immune selection operation and avoids the traditional genetic algorithm in the "precocious" phenomenon,fast convergence rate,experiments verifies the validity.关键词
零值绝缘子/对比度增强/类间方差法/相似度/免疫遗传算法/红外图像分割Key words
zero resistance insulator/ contrast enhancement/ Otsu/ similarity/ immune genetic algorithm/ infrared imaging segmentation分类
信息技术与安全科学引用本文复制引用
钱艳萍,何洪英,蒋正龙,赵纯,关石磊,夏德分..改进免疫遗传算法的零值绝缘子分割方法研究[J].计算机工程与应用,2011,47(31):157-159,170,4.基金项目
国家重点产业振兴和技术改造项目(发改投资[2010]2272号) （发改投资[2010]2272号）
湖南省电力公司项目(2009年)和中央高校教育基金项目(2009---2012). （2009年）
