Symmetry detection based on multiscale pairwise texture boundary segment interactions

•An unsupervised procedure to local symmetry detection in natural images is proposed.•Achieved via a Hough-style voting approach made at different scales and coordinate spaces.•A final denoising scheme aims at removing noise and spurious local symmetries.•Experiments have been conducted on the recen...

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Veröffentlicht in:	Pattern recognition letters Jg. 74; S. 53 - 60
1. Verfasser:	Mignotte, Max
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 15.04.2016
Schlagworte:	Berkeley Segmentation Dataset (BSDS300) Hough-style voting approach Line segment detector (LSD) Local symmetry detection Medial axis segment Pair of lines Medial axis segment Pair of lines Berkeley Segmentation Dataset (BSDS300) Hough-style voting approach Local symmetry detection Line segment detector (LSD)
ISSN:	0167-8655, 1872-7344
Online-Zugang:	Volltext
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