Adaptive Smoothness Constraint Image Multilevel Fuzzy Enhancement Algorithm

被引：1
|
作者：
Chu, Xi [1 ,2 ]
Zhou, Zhixiang [1 ,2 ]
Yang, Chaoshan [3 ]
Xiang, Xiaoju [1 ,2 ]
机构：
[1] Chongqing Jiaotong Univ, Sch Civil Engn, Chongqing 400074, Peoples R China
[2] Chongqing Jiaotong Univ, State Key Lab Breeding Base Mt Bridge Tunnel Engn, Chongqing 400074, Peoples R China
[3] Univ PLA, Dept Army Logist, Dept Mil Installat, Chongqing 401331, Peoples R China
来源：
SAINS MALAYSIANA | 2019年 / 48卷 / 12期
关键词：
Adaptive; fuzzy enhancement; image; multilevel; smoothness constraint;
D O I：
10.17576/jsm-2019-4812-19
中图分类号：
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
For the problems of poor enhancement effect and long lime consuming of the traditional algorithm, an adaptive smoothness constraint image multilevel:fizzy enhancement algorithm based on secondary color-to-grayscale conversion is proposed By using fuzzy set theory and generalized fuzzy set theory, a new linear generalized fuzzy operator transformation is carried out to obtain a new linear generalized fuzzy operator. By using linear generalized membership transformation and inverse transformation, secondary color-to-grayscale conversion of adaptive smoothness constraint image is performed Combined with generalized fuzzy operator, the region contrast fuzzy enhancement of adaptive smoothness constraint image is realized, and image multilevel fuzzy enhancement is realized Experimental results show that the fuzzy degree of the image is reduced by the improved algorithm, and the clarity of the adaptive smoothness constraint image is improved effectively. The time consuming is short, and it has some advantages.
引用
收藏
页码：2777 / 2785
页数：9
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