Color image enhancement by fuzzy intensification

被引：61

作者：

Hanmandlu, M ^{[1
]}

Jha, D

Sharma, R

机构：

[1] Indian Inst Technol, Dept Elect Engn, New Delhi 110016, India

[2] Indian Inst Technol, Dept Elect Engn, New Delhi 110042, India

来源：

PATTERN RECOGNITION LETTERS | 2003年 / 24卷 / 1-3期

关键词：

image processing; color enhancement; fuzzy logic; fuzzy contrast; entropy; index of fuzziness; fuzzifier; intensification operator;

D O I：

10.1016/S0167-8655(02)00191-5

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A Gaussian membership function to model image information in spatial domain has been proposed in this paper. We introduce a new contrast intensification operator, which involves a parameter t for enhancement of color images. By minimizing the fuzzy entropy of the image information, the parameter t is calculated globally. A visible improvement in the image quality for human contrast perception is observed, also demonstrated here by the reduction in 'index of fuzziness' and 'entropy' of the output image. (C) 2002 Elsevier Science B.V. All rights reserved.

引用

页码：81 / 87

页数：7

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