Fuzziness index driven fuzzy relaxation algorithm and applications to image processing

被引：0
|
作者：
Shang-Ming Zhou
John Q. Gan
Lida Xu
Robert I. John
机构：
[1] De Montfort University,Centre for Computational Intelligence, School of Computing
[2] University of Essex,Department of Computer Science
[3] Beijing Jiaotong University,College of Economics and Management
[4] Old Dominion University,Department of Information Technology and Design Science
来源：
Annals of Operations Research | 2009年 / 168卷
关键词：
Fuzzy relaxation; Fuzziness index; Image enhancement;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
An improved fuzzy relaxation algorithm for image contrast enhancement is introduced, the relationship between the convergence regions and the parameters in the transformations defined by the algorithm is shown, which is essential to the successful application of this algorithm. Furthermore, in order to measure the quality of an enhanced image, an index of fuzziness is used in this paper to evaluate the performance of the fuzzy relaxation scheme. This extended index of fuzziness is used as a criterion for automatically stopping the fuzzy relaxation process. The analytical result is tested by experiments of image contrast enhancement.
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