自适应图像对比度模糊增强算法  

Adaptive Image Contrast Fuzzy Enhancement

作　　者：马志峰[1] 史彩成[1] 

机构地区：[1]北京理工大学电子工程系,北京100081

出　　处：《激光与红外》2006年第3期231-233,共3页Laser & Infrared

摘　　要：文中提出了一种基于模糊集理论和广义模糊算子GFO的图像模糊对比度增强算法。由算法分析可知,利用模糊隶属度可以对图像的细节进行增强,图像的层次更加分明。通过对几例图像增强对比实验结果的分析,表明该算法是有效的。Aiming at the problems of vagueness and uncertainty when processing an image, a kind of image enhancement processing algorithm for visual property is brought forward based on fuzzy sets and general fuzzy operator. The analysis of the algorithm shows that local regions of the image are enhanced by using the concept of the fuzzy contrast to make image clearer. Experiments were conducted on real pictures, and the results show that the approach presented here performs well.

关 键 词：图像增强 模糊集 广义模糊算子 

分 类 号：O159[理学—数学] TP751[理学—基础数学]