Research of Image Edge Detection Based on Mathematical Morphology

Abstract

During the image edge detection with mathematical morphology, using single form and single scale of structural element will lose the information of other forms of elements. And the ability of anti-noise is weak. An adaptive algorithm for image edge detection based on multistructural and multi-scale is proposed in this paper. For single form of structural element, we add weight coefficients on each result of different scale elements according to the inverse ratio of information entropy. For single scale of structural element, we add weight coefficients on each result of different form elements according to the direct ratio of information entropy. At last, we construct a series-parallel form of edge detector according to the algorithm process and get the final edge image after the fusion of edge images. The experiment shows that the improved algorithm not only can retain rich edge information but also has good performance to remove the noise.