Abstract: On the basis of the improved edge detection operator and the idea of morphological filter，a novel algorithm for edge detection of gray scale image based on mathematical morphology is proposed.In which the weight is determined by self-adaptive method.The ideal image edge under the environment of existing noise is obtained by integrating the edge characteristics of each element.The experimental results show that the method is better than the classical edge detection.

摘要： 基于修正的边缘检测算子和形态滤波思想，提出一种新的多结构元素形态学灰度图像边缘检测算法。在该算法中，自适应确定权重，并将各个结构元素下的检测信息进行加权求和，得到噪声存在条件下较为理想的图像边缘。仿真结果表明所给算法效果优于经典的边缘检测方法。