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Image edge detection based on Multi-scale Morphological operator.

Authors :
Ping Xia
Guoqiang Gong
Xinqiong Liu
Xuejun Xiang
Source :
World Automation Congress 2012; 1/ 1/2012, p27-30, 4p
Publication Year :
2012

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 [ABSTRACT FROM PUBLISHER]

Details

Language :
English
ISBNs :
9781467344975
Database :
Complementary Index
Journal :
World Automation Congress 2012
Publication Type :
Conference
Accession number :
86633964