Morphologic edge detection based on multi-scale contour structuring elements with multiple structuring elements
基于多尺度轮廓结构元素的多形状边缘检测

Based on the research about how to keep more edge information effectively while filtering the noise in the process of image edge detection, this paper proposed an edge detection algorithm based on multi-scale contour structuring elements with multiple structuring elements. Firstly, it adopted a class of open maximum and close minimum morphological filter by using multi-scale contour structuring elements several times determined by the peak signal noise ratioPSNR, thereby reducing it on the impact of the edge. Then, it adopted multiple structuring elements to extract the edge, determined the scale of the multiple structuring elements by the PSNR. Compared with the classical edge detection algorithm, this algorithm had robust ability to filter the noise, and could retain more edge information. Experimental results show that using the multi-scale contour structuring elements and the multiple structuring elements differently can filter the noise effectively and retain the edge information.