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.
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)
关键词
模糊方法
边缘检测
图像处理
fuzzy method
edge detection
image processing
