NDLI: An adaptive soft-morphological-gradient-filter-for-edge-detection

Content Provider	IEEE Xplore Digital Library
Author	Xiaoxin Guo Zhiwen Xu Yunjie Pang
Copyright Year	2004
Description	Author affiliation: Coll. of Comput. Sci. & Technol., Jilin Univ., Changchun, China (Xiaoxin Guo; Zhiwen Xu; Yunjie Pang)
Abstract	In this paper, a novel adaptive soft morphological gradient (ASMG) filter is proposed, based on a combination of the idea of the soft morphological filtering and the adaptive technique. ASMG filtering is an efficient nonlinear sharpening method, which can be applied for edge detection. By employing four directional structuring elements, ASMG filtering has the capability of selecting the directional structuring element with the maximum response, whose direction varies depending on the change of directional edges. In addition, by comparing the variance of the moving structuring window with the base variance, the ASMG filter provides an adaptive algorithm for morphological operations. The experimental results show that the ASMG filter is better than the traditional operators in edge detection and noise suppression.
Starting Page	64
Ending Page	67
File Size	171577
Page Count	4
File Format	PDF
ISBN	0769522440
DOI	10.1109/ICIG.2004.31
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-12-18
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computer science Filtering Image edge detection Gaussian noise Adaptive algorithm Adaptive filters Morphology Educational institutions Noise robustness Morphological operations
Content Type	Text
Resource Type	Article

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