一种新的自适应图像模糊增强算法  

A novel adaptive image fuzzy enhancement algorithm

作　　者：王保平[1] 刘怀亮[2] 李南京[1] 谢维信[3] 

机构地区：[1]西北工业大学国防科学研究院,陕西西安710072 [2]西安电子科技大学经济管理学院,陕西西安710071 [3]深圳大学信息工程学院,广东深圳518060

出　　处：《西安电子科技大学学报》2005年第2期307-313,共7页Journal of Xidian University

基　　金：国家自然科学基金资助项目(69972041)

摘　　要：对图像模糊增强算法中的非线性变换进行了研究,发现了其存在变换强度较小,运算速度较慢,丢失部分灰度信息等缺点.提出了一种新的模糊增强变换算子,该变换算子不但克服了上述缺点,而且具有封闭性、变换强度可调以及移植性好等优点.另外,针对以往算法选取阈值参数的随机性问题,通过引入模糊熵,使阈值的选取具有了一定的目的性.将新的模糊增强算法应用于图像边缘检测中,取得了优于现有模糊增强方法的效果.The no-linearity transform in image enhancement is studied in detail, and its drawbacks are found, on the basis of which a novel image fuzzy enhancement arithmetic operator is proposed, which not only has a closing character and an automatic-adjusting character, but also has a transplant character to other enhancement arithmetic. In addition, by quoting fuzzy entropy, the selection of the threshold value in image enhancement is beneficial to a certain extent. We use our new algorithm to extract image edges, with a better result than that of the now-available image fuzzy enhancement method.

关 键 词：图像增强 边缘检测 隶属度函数 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]