[1]XIAO Mei,ZHANG Lei,KOU WenYu,et al.A Novel Edge Detection Method[J].Journal of Zhengzhou University (Engineering Science),2012,33(04):86-.[doi:10.3969/j.issn.1671-6833.2012.04.020]
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Journal of Zhengzhou University (Engineering Science)[ISSN
1671-6833/CN
41-1339/T] Volume:
33卷
Number of periods:
2012 04
Page number:
86-
Column:
Public date:
2012-07-10
- Title:
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A Novel Edge Detection Method
- Author(s):
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XIAO Mei; ZHANG Lei; KOU WenYu; etc;
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Key l.nboratory of Automobile Transportation Safety Contro! Technology of Ministry Communication, School of Automobile.Chang’an University,Xi’an 710064,China
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- Keywords:
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adaptive neuro-fuzzy inference ; system edge detection; objective function
- CLC:
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TG143.7
- DOI:
-
10.3969/j.issn.1671-6833.2012.04.020
- Abstract:
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In order to reduce the impact of parameters on edge detection, we presenl a novel edge detection indigital images, The proposed method consists of an adaptive neural fuzzy inference system and a post-process.ing. We selected the 4 objective functions related to edge direction and gradient magnitude as the adaptive neural fuzzy inference system inputs. The input image and the target image used for training adaptive neural fuzzyinference system were synthesized by the computer. A post-processing procedure was applied to determinewhether the point was an edge point by using a fixed threshold compared with the adaptive neural fuzzy infer.ence system output value. The proposed edge detector is tested on popular images and also compared with popular edge detectors from the literature. Experimental results show that the proposed edge detector exhibitsmuch better performance than the competing operators and may efficiently be used for the detection of edges indigital images.