基于遗传优化的小波域图像增强技术  

Image Enhancement Technique in Wavelet Domain Based on Genetic Optimization

作　　者：刘志成[1] 

机构地区：[1]湖南铁道职业技术学院信息工程系,湖南株洲412001

出　　处：《电脑开发与应用》2011年第6期33-35,共3页Computer Development & Applications

基　　金：湖南省高等学校科学研究基金资助项目(10C0229)

摘　　要：在很多图像识别(如电子印章)的场合,由于待处理的图像本身模糊,加上分割、去噪等处理过程造成图像信号的衰减,需要对去噪后的图像做进一步的增强处理,以获得更好的图像效果。在电子印章的特征提取过程中,可以应用基于小波变换的图像增强方法,并在此基础上实现基于遗传算法的阈值寻优,以进一步提高电子印章图像的识别率。In many occasions of image recognition（for instance electronic signet）,since the image to be processed in itself is fuzzy,moreover,the process of segmenting and denoising of image can cause the attenuation of image signal,for this raison,further enhancement processing is needed for the denoised image in order to achieve better image effects.In the course of feature extraction of electronic signet,the image enhancement based on wavelet transform can be used,and on this basis,the threshold optimizing based on genetic algorithm is realized so that the recognition rate of electronic signet image can be raised further.

关 键 词：小波变换 遗传算法 增强 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]