DocumentCode :
2428195
Title :
Analysis on Image Symmetry Detection Algorithms
Author :
Xiao, ZhiTao ; Wu, Jun
Author_Institution :
Tianjin Polytech. Univ., Tianjin
Volume :
4
fYear :
2007
fDate :
24-27 Aug. 2007
Firstpage :
745
Lastpage :
750
Abstract :
Symmetry exists widely in the real world and plays a remarkable role in perception problems. Fast and effective symmetry detection is still a difficult problem in computer vision. Typical image symmetry detectors are analyzed. From the viewpoint of information used, the literatures on image symmetry detection are analyzed systematically. And symmetry detectors can be categorized to two kinds, that is, gradient-based ones and phase-based ones. Characteristics of each kind are discussed. The key issues of the important symmetry detectors are explained extensively and comprehensively. Based on the survey, some open issues, which needed to be researched further, are presented, and the future research trends are also given.
Keywords :
computer vision; image recognition; symmetry; computer vision; gradient-based category; image symmetry detection algorithms; phase-based category; Algorithm design and analysis; Computer vision; Detection algorithms; Detectors; Histograms; Image analysis; Information analysis; Mirrors; Phase detection; Shape;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems and Knowledge Discovery, 2007. FSKD 2007. Fourth International Conference on
Conference_Location :
Haikou
Print_ISBN :
978-0-7695-2874-8
Type :
conf
DOI :
10.1109/FSKD.2007.173
Filename :
4406487
Link To Document :
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