一种新的模糊对比度增强算法

被引:20
作者
李久贤
孙伟
夏良正
机构
[1] 东南大学自动控制系
[2] 东南大学自动控制系 南京
[3] 南京 中国电子科技集团公司第十四研究所
[4] 南京
关键词
图像增强; 图像处理; 模糊对比度;
D O I
暂无
中图分类号
TP391.41 [];
学科分类号
080203 ;
摘要
提出了一种新的基于模糊集合理论的图像模糊对比度增强算法 .首先将图像从灰度域变换到模糊域 ;在预先设定图像空间像素模糊隶属度基础上引入了模糊对比度概念 ,而后在模糊域对模糊对比度进行非线性变换 ,得到增强后的模糊隶属度 ,最后将图像从模糊域变换到灰度域 .由算法分析可知 ,利用模糊隶属度可以对图像的细节进行增强 ,图像的层次更加分明 .通过对几例图像增强对比实验结果的分析 ,表明该算法是有效的 .
引用
收藏
页码:675 / 677
页数:3
相关论文
共 9 条
[1]  
Im age enhancem ent and thresh-ol-d ing by optim ization of fuzzy compactness. Pal S K,Rosenfeld A. PatternRecogn ition Letters . 1988
[2]  
Im age enhancem ent and thresh-ol-d ing by optim ization of fuzzy compactness. Pal S K,Rosenfeld A. PatternRecogn ition Letters . 1988
[3]  
Enhancement of mammographic features by optimal adaptive neighborhood image processing. Dhnawan A P,Buelloni G,Gordon R. IEEE Transaction on Med Imaging . 1986
[4]  
Contrast enhancement technique based on local detection of edge. Beghdadi A,Negrate A L. Computer Vision Graphics and Image Processing . 1989
[5]  
Im age enhancem ent using smooth ingw ith fuzzy sets. Pal S K,K ing R A. IEEE Transaction on Sys M an Cy-bern . 1981
[6]  
A robust approach to image enhancement based on fuzzy logic. Choi Y S,Krishnapuram R. IEEE Transactions on Image Processing . 1997
[7]  
An application of fuzzy relation to image enhancement. Bhutani K R,Battou A. Pattern Recognition . 1995
[8]  
Adaptive contrast enhancem ent anddeenhancem ent. Dash L,Chatterji B N. Pattern Recogn ition . 1991
[9]  
A novel fuzzy entropy approach to image enhancement and thresholding. Cheng H D,Chen Y H,Sun Ying. Signal Processing . 1999