一种改进的Pal和King模糊边缘检测算法  

Modified Pal and King algorithm for fuzzy edge detection

作　　者：杨勇[1] 黄淑英[2] 

机构地区：[1]江西财经大学信息管理学院,南昌330013 [2]江西财经大学电子学院,南昌330013

出　　处：《仪器仪表学报》2008年第9期1918-1922,共5页Chinese Journal of Scientific Instrument

基　　金：江西省教育厅科学技术(2007270)资助项目

摘　　要：针对Pal和King提出的模糊边缘检测算法易导致图像灰度信息丢失这一缺陷,提出一种改进的图像模糊边缘检测算法。该算法首先通过阈值来定义一个新的隶属函数将原始图像映射到模糊特征平面;然后利用模糊增强处理来提高区域之间的层次,加强边缘两侧的对比度;最后根据一定的判别准则提取出图像的边缘。实验结果表明,采用改进的方法边缘检测质量显著提高,算法速度大大加快。新算法中具有唯一的参数且可以自动确定,保证了算法的自适应性。To overcome the drawback of losing of gray information after fuzzy image enhancement in Pal and King algorithm, a modified fuzzy edge detection algorithm is presented in this paper. The steps of the algorithm can be summarized as follows. Firstly, a new membership function is defined by automatically selecting the threshold of the image in order to map the original image into the fuzzy property plane. Secondly, the level of different regions is improved after performing image enhancement, so that the contrast between both sides of the edge is enhanced. Finally, the edges of the image are extracted according to a certain discriminative rule. Experimental results show that algorithm the quality of edge detection is largely improved and the computation of the algorithm is faster than that of Pal and King algorithm. In addition, there exists just one parameter in the modified algorithm and it can be determined automatically, which guarantees the algorithm is adaptive.

关 键 词：模糊边缘检测 阈值 隶属度函数 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]