Application of coefficient type of index fuzzy entropy in the image enhancement

doi:10.3778/j.issn.1002-8331.2011.03.046

Computer Engineering and Applications ›› 2011, Vol. 47 ›› Issue (3): 154-156.DOI: 10.3778/j.issn.1002-8331.2011.03.046

• 图形、图像、模式识别 • Previous Articles Next Articles

Application of coefficient type of index fuzzy entropy in the image enhancement

WANG Xiaoyan，LI Yi

Visual Synthesis of Image and Graphic Technology Discipline Laboratory for National Defense，Institute of Graphics and Image，School of Computer Science，Sichuan University，Chengdu 610065，China

Received:2009-09-04 Revised:2009-11-02 Online:2011-01-21 Published:2011-01-21
Contact: WANG Xiaoyan

系数型指数模糊熵在图像增强中的应用

王小艳，李毅

四川大学计算机学院图形图像研究所视觉合成图形图像技术国防重点学科实验室，成都 610065

通讯作者: 王小艳

Abstract

Abstract: A method called coefficient type of index fuzzy entropy in the image enhancement is proposed based on the proposed fuzzy entropy.In this method，the image is transformed into fuzzy domain.Then，the fuzzy entropy of fuzzy image is calculated by the proposed method and the best threshold value is obtained by simulated annealing algorithm under the maximum fuzzy entropy.Finally，image enhancement is completed using enhanced operator.Experimental results show that this algorithm has the certain ability to enhance image.

Key words: index fuzzy entropy, image enhancement, information entropy, membership function

摘要： 在研究已有模糊熵的基础上，提出了一种系数型指数模糊熵的图像增强方法。先将图像进行模糊划分后变换到模糊域，然后利用提出的模糊熵计算图像的模糊熵，并且在最大熵准则下用模拟退火算法求取最佳阀值，利用增强算子进行图像增强。实验结果表明，该算法对图像有一定的增强效果。

关键词: 指数模糊熵, 图像增强, 信息熵, 隶属度函数

CLC Number:

TP391

WANG Xiaoyan，LI Yi
. Application of coefficient type of index fuzzy entropy in the image enhancement[J]. Computer Engineering and Applications, 2011, 47(3): 154-156.

王小艳，李毅. 系数型指数模糊熵在图像增强中的应用[J]. 计算机工程与应用, 2011, 47(3): 154-156.

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Application of coefficient type of index fuzzy entropy in the image enhancement

系数型指数模糊熵在图像增强中的应用

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