[1]李久贤,孙伟,夏良正.一种新的模糊对比度增强算法[J].东南大学学报(自然科学版),2004,34(5):675-677.[doi:10.3969/j.issn.1001-0505.2004.05.025]
　Li Jiuxian,Sun Wei,Xia Liangzheng.Novel fuzzy contrast enhancement algorithm[J].Journal of Southeast University (Natural Science Edition),2004,34(5):675-677.[doi:10.3969/j.issn.1001-0505.2004.05.025]
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一种新的模糊对比度增强算法()
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《东南大学学报(自然科学版)》[ISSN:1001-0505/CN:32-1178/N]

卷:
34
期数:
2004年第5期
页码:
675-677
栏目:
计算机科学与工程
出版日期:
2004-09-20

文章信息/Info

Title:
Novel fuzzy contrast enhancement algorithm
作者:
李久贤1;  孙伟1; 2;  夏良正1
1 东南大学自动控制系, 南京 210096; 2 中国电子科技集团公司第十四研究所, 南京 210013
Author(s):
Li Jiuxian1;  Sun Wei1; 2;  Xia Liangzheng1
1 Department of Automatic Control Engineering, Southeast University, Nanjing 210096, China
2 No.14 Institute of China ELectronics Technology Group Corporation, Nanjing 210013, China
关键词:
图像增强;  图像处理;  模糊对比度
Keywords:
image enhancement;  image processing;  fuzzy contrast
分类号:
TP391
DOI:
10.3969/j.issn.1001-0505.2004.05.025
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.
Abstract:
A novel image fuzzy contrast enhancement algorithm based on fuzzy theory is presented. Firstly, the image gray-level plane is transformed into fuzzy plane and the concept of fuzzy contrast is introduced based on the fact that the fuzzy membership value of each pixel regarding to a predefined image property is preset. Secondly, the value of fuzzy contrast is modified through nonlinear transformation and the new membership values are generated. Finally, the new membership values are re-transformed in the gray-level plane to generate modified gray-levels. The analysis of the algorithm shows that local regions of the image are enhanced by using the concept of the fuzzy contrast to make image clearer. Experiments were conducted on real pictures, and the results show that the approach presented herein performs well.

参考文献/References:

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备注/Memo

备注/Memo:
作者简介: 李久贤(1961—),男,教授,jxli@seu.edu.cn.
更新日期/Last Update: 2004-09-20