A novel edge detection method based on adaptive neuro-fuzzy inference system

Lei Zhang; Mei Xiao; Jian Ma; Hongxun Song

doi:10.1117/12.836828

10 July 2009 A novel edge detection method based on adaptive neuro-fuzzy inference system

Lei Zhang, Mei Xiao, Jian Ma, Hongxun Song

Proceedings Volume 7490, PIAGENG 2009: Intelligent Information, Control, and Communication Technology for Agricultural Engineering; 74902S (2009) https://doi.org/10.1117/12.836828
Event: International Conference on Photonics and Image in Agriculture Engineering (PIAGENG 2009), 2009, Zhangjiajie, China

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.

Citation Download Citation

Lei Zhang, Mei Xiao, Jian Ma, and Hongxun Song "A novel edge detection method based on adaptive neuro-fuzzy inference system", Proc. SPIE 7490, PIAGENG 2009: Intelligent Information, Control, and Communication Technology for Agricultural Engineering, 74902S (10 July 2009); https://doi.org/10.1117/12.836828

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