改进的模糊竞争边缘检测方法  

Competitive Fuzzy Edge Detection

作　　者：张强劲[1] 李兴宽[2] 张丽莲[1] 

机构地区：[1]云南农业大学基础与信息工程学院 [2]昆明理工大学数学系,云南昆明650093

出　　处：《昆明理工大学学报（理工版）》2006年第4期50-53,共4页Journal of Kunming University of Science and Technology(Natural Science Edition)

摘　　要：广义模糊增强的主要功能是增强图像的区域对比度,减少灰度层次;而具有竞争性质的模糊边缘检测方法希望待处理图像的区域对比度大.所以将广义模糊增强算法用于对图像作区域对比度增强处理,然后对增强后的图像再施以具有竞争性质的模糊边缘检测方法,便可以提高图像边缘的提取精度.The contribution of general fuzzy operator （GFO） image enhancement is to provide an approach to implement enhancement of contrast of region and decrease gray level for image processing. At the same time, competitive fuzzy edge detection （CFED） algorithm expects the image to present the characteristic of large contrast of region. Therefore, it uses a GFO image enhancement algorithm as the first step, and CFED algorithm is run as the second step to extract the edge of image. Experiments demonstrate the accuracy, efficiency and robust of improved competitive fuzzy edge detection （ICFED） algorithm.

关 键 词：模糊方法 边缘检测 图像处理 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]