模糊柔性形态学边缘检测  

Soft morphological edge-detection algorithm based on fuzzy theory

作　　者：胡晓辉[1] 邓曼妮[1] 

机构地区：[1]兰州交通大学电子与信息工程学院,兰州730070

出　　处：《计算机工程与应用》2010年第33期155-157,共3页Computer Engineering and Applications

基　　金：国家自然科学基金No.10661007;兰州交通大学青蓝工程资助项目~~

摘　　要：提出了一种改进的基于模糊理论的柔性形态学边缘检测方法。在模糊域里选用效率更高的隶属度函数,借鉴广义模糊集的概念对模糊域计算区域进行拉伸和增强处理,增加边缘两侧灰度对比度,再利用柔性形态学特征及性质选取更有效率性能、更好的边缘检测算子和结构元,得到噪声存在条件下更加理想的图像边缘。与其他检测算法相比,该算法在取得更多边缘细节的同时具有更强的抗噪能力,具有一定的实用性和可行性。An improved image edge detection method based on fuzzy theory and soft morphology is proposed.Firstly, an efficient membership function is chosen in ambiguity domain, and the fuzzy computational region is extruded by the concept of generalized fuzzy set,to increase the gray contrast of the edge.Then soft morphological nature and properties are used to choose a more efficient detector and structuring elements.Finally an ideal edge is got under the noise environment.Compared with other detectors this algorithm reserves more details of the edge with greater de-noising ability,and it has practicality and feasibility.

关 键 词：边缘检测 模糊 隶属度 柔性形态学 检测算子 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]