DocumentCode :
1579700
Title :
Image edge detection based on Multi-scale Morphological operator
Author :
Xia, Ping ; Gong, Guoqiang ; Liu, Xinqiong ; Xiang, Xuejun
Author_Institution :
College of computer and information technology, China Three Gorges University, Yichang, Hubei Province, China
fYear :
2012
Firstpage :
27
Lastpage :
30
Abstract :
Image edge detection algorithm based on Multi-scale Morphological operator is proposed. First, Composite morphological filters is defined with opening - closing Operators as well as closing - opening Operators, and applied to image filtering; Secondly, because the different shape structural operator can detect the different direction and the structure edge information, for this, the morphological structure base is defined with multi-direction operator, and applied, and applied to detect image edge information, and reconstructed ideal image edge. Simulation results show that the algorithm can apply to detect the noise image edge, of which the MSE performance of image denoiseing are respectively less than the opening-closing Operators 7.82% and closing-opening Operators 6.38%, and the PSNR performance are respectively better than the opening-closing Operators 14.68% and closing-opening Operators 8.05%. In the aspect of detection precision, the continuous and closed edge information can be obtained. Comparing with the traditional operators detection algorithm, the new algorithm can get clearer edge
Keywords :
Closing-opening operator; Edge detection; Multi-scale morphology; Opening-closing operator;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
World Automation Congress (WAC), 2012
Conference_Location :
Puerto Vallarta, Mexico
ISSN :
2154-4824
Print_ISBN :
978-1-4673-4497-5
Type :
conf
Filename :
6321267
Link To Document :
بازگشت