Open AccessFuzzy edge detection technique using multi-information fusion algorithm
Author(s) -
Xiao-Ping Zong,
Yan Xu,
Jiangtao Dong
Publication year - 2006
Publication title -
wuli xuebao
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.199
H-Index - 47
ISSN - 1000-3290
DOI - 10.7498/aps.55.3223
Subject(s) - edge detection , fuzzy logic , fuse (electrical) , enhanced data rates for gsm evolution , computer science , deriche edge detector , artificial intelligence , pattern recognition (psychology) , algorithm , process (computing) , information fusion , computer vision , image (mathematics) , image processing , physics , quantum mechanics , operating system
An effective fuzzy edge detection algorithm is proposed in this paper. This novel algorithm is different from other fuzzy edge detection algorithms based purely on image enhancement technology. Several kinds of information are used as the characteristics of edge detection, and fuzzy logic is used to fuse the information together. So, the edge detecting process is more effective and gives much better edge information. It is proved that this algorithm is applicable to detect the edge of highly-noisy images.