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Proceedings Paper

A novel edge detection method based on adaptive neuro-fuzzy inference system
Author(s): Lei Zhang; Mei Xiao; Jian Ma; Hongxun Song
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Paper Abstract

In this paper, we present a novel adaptive neuro-fuzzy inference system (ANFIS) for edge detection in digital images. In the proposed method, the edges in the image are directly determined by an ANFIS network. The proposed ANFIS edge detector is tested on popular images having different image properties and also compared with popular edge detectors from the literature. Experimental results show that the proposed ANFIS edge detector exhibits much better performance than the competing operators and may efficiently be used for the detection of edges in digital images.

Paper Details

Date Published: 10 July 2009
PDF: 4 pages
Proc. SPIE 7490, PIAGENG 2009: Intelligent Information, Control, and Communication Technology for Agricultural Engineering, 74902S (10 July 2009); doi: 10.1117/12.836828
Show Author Affiliations
Lei Zhang, Chang'an Univ. (China)
Mei Xiao, Chang'an Univ. (China)
Jian Ma, Chang'an Univ. (China)
Hongxun Song, Chang'an Univ. (China)


Published in SPIE Proceedings Vol. 7490:
PIAGENG 2009: Intelligent Information, Control, and Communication Technology for Agricultural Engineering
Honghua Tan; Qi Luo, Editor(s)

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