基于遗传算法的图像模糊增强处理方法的研究  

Study on the Fuzzy Enhancement Method of Image Based on the Ge netic Algorithm

作　　者：陈佳娟[1] 陈晓光[1] 纪寿文[1] 赵学笃[1] 

机构地区：[1]吉林工业大学生物资源工程学院,长春130025

出　　处：《计算机工程与应用》2001年第21期109-111,共3页Computer Engineering and Applications

基　　金：吉林省科学技术委员会资助项目(编号:980535)

摘　　要：文章根据图像的模糊特性,将图像中象素的灰度等级作为模糊特征,采用模糊增强算法实现了图像的模糊增强,并且采用改进的遗传算法对图像模糊增强的灰度阈值进行了最优选择。实验结果表明,新算法比传统的图像增强方法获得了较高的清晰度;寻优后的灰度阈值显著地提高了图像的增强效果。According to the fuzzy properties of image,gray grade of pixel is selected as fuzzy feature,fuzzy enhance-ment of image is realized by using fuzzy algorithm.The improved genetic algorithm is applied to generate an optimal threshold value of gray grade for the fuzzy enhancement of image.Experiment results show that this fuzzy enhancing al-gorithm can obtain more clear image than the traditional enhancing method,and optimized threshold value of Gray grade can remarkable improve image enhancement effect.

关 键 词：遗传算法 图像模糊增强处理 傅立叶变换 模式识别 

分 类 号：TN911.73[电子电信—通信与信息系统] TP391.41[电子电信—信息与通信工程]