Title :
An algorithm of edge detection based on soft morphology
Author :
Junna Shang ; Feng Jiang
Author_Institution :
Hangzhou Dianzi Univ., Hangzhou, China
Abstract :
An algorithm of edge detection based on mathematical morphology is discussed in the paper. Due to the characteristics of the basic morphology algorithm of image processing, the common edge detection algorithms with traditional morphological edge detection algorithm are analyzed and compared, and the characteristics of each, as well as inadequateness are given here. Combined with the geometric algorithms, applied to binary gray scale image edge detection, based on the classic edge detection algorithms and soft filtering properties, the morphology of the soft edge detection algorithm and optimization algorithm is put forward for the edge detection and image de-noising processing.
Keywords :
computational geometry; edge detection; filtering theory; image denoising; mathematical morphology; optimisation; binary gray scale image edge detection; geometric algorithms; image denoising processing; image processing; mathematical morphology; morphological edge detection algorithm; optimization algorithm; soft edge detection algorithm; soft filtering properties; binary gray scale image; edge detection; mathematical morphology; soft morphology;
Conference_Titel :
Signal Processing (ICSP), 2012 IEEE 11th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-2196-9
DOI :
10.1109/ICoSP.2012.6491626
