基于多尺度模糊逻辑的小波边缘检测方法  

Wavelet Edge Detection Method Based-on Multi-scale Fuzzy Logic

作　　者：张强劲[1] 杨丹[2] 张小洪[2] 葛永新[1] 

机构地区：[1]重庆大学数理学院 [2]重庆大学软件工程学院,重庆400030

出　　处：《重庆大学学报（自然科学版）》2005年第10期62-65,共4页Journal of Chongqing University

摘　　要：针对非极大抑制法中由于单一选定阈值所带来的确定性对边缘提取效果的影响,提出了一种新的基于模糊逻辑的图像边缘检测方法,即在不同尺度下实现图像的模糊增强,从而提高边缘检测精度.该方法对图像分别在不同尺度下低通滤波后实施广义模糊增强算法,增强灰度的区域对比度,更好地实现了在大尺度下抑制噪声、在小尺度下精确定位的效果.实验证明了该方法对影子(phantom)边缘的检测有较好的效果.A novel edge detection algorithm is proposed by implementing fuzzy image enhancement at different scales. The implement of this algorithm can reduce the negative influence bring from the non-maximum suppression algorithm which select only one threshold. The success of the approach depends on the selection of a general fuzzy operator （GFO） for the enhancement of contrast of region after smoothing of image at different scales. Consequently, it is more obvious that coarse intensity changes are obtained at a large scale whereas the fine details of intensity changes are obtained at a small scale. A pretty performance is obtained by used this work.

关 键 词：边缘检测 广义模糊算子 多尺度积 小波变换 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]