NDLI: Image edge detection based on Multi-scale Morphological operator

Content Provider	IEEE Xplore Digital Library
Author	Ping Xia Guoqiang Gong Xinqiong Liu Xuejun Xiang
Copyright Year	2012
Description	Author affiliation: College of computer and information technology, China Three Gorges University, Yichang, Hubei Province, China (Ping Xia; Guoqiang Gong; Xinqiong Liu; Xuejun Xiang)
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
Starting Page	27
Ending Page	30
File Size	798453
Page Count	4
File Format	PDF
ISBN	9781467344975
ISSN	21544824
e-ISBN	9781889334479
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-06-24
Publisher Place	Mexico
Access Restriction	Subscribed
Rights Holder	TSI Press
Subject Keyword	Image edge detection Noise Filtering algorithms Information filters Equations Opening-closing operator Edge detection Multi-scale morphology Closing-opening operator
Content Type	Text
Resource Type	Article

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