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Quantification of local symmetry: application to texture discrimination

Quantification of local symmetry: application to texture discrimination Quantification of local symmetry: application to texture discrimination YORAM BONNEH, DANIEL REISFELD and YEHEZKEL YESHURUN* Department of Computer Science, Tel Aviv University, 69978 Tel Aviv, Israel Received 2 May 1994; revised 13 September; accepted 19 September 1994 Abstract-Symmetry is one of the most prominent cues in visual perception as well as in computer vision. We have recently presented a Generalized Symmetry Transform that receives as input an edge map, and outputs a symmetry map, where every point marks the intensity and orientation of the local generalized symmetry. In the context of computer vision, this map emphasizes points of high symmetry, which, in turn, are used to detect regions of interest for active vision systems. Many psychophysical experiments in texture discrimination use images that consist of various micro-patterns. Since the Generalized Symmetry Transform captures local spatial relations between image edges, it has been used here to predict human performance in discrimination tasks. Applying the transform to micro-patterns in some well-studied quantitative experiments of human texture discrimination, it is shown that symmetry, as characterized by the present computational scheme, can account for most of them. 1. INTRODUCTION Symmetry is among the most prominent spatial relations perceived by humans. Nat- ural http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Spatial Vision (continued as Seeing & Perceiving from 2010) Brill

Quantification of local symmetry: application to texture discrimination

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References (26)

Publisher
Brill
Copyright
© 1994 Koninklijke Brill NV, Leiden, The Netherlands
ISSN
0169-1015
eISSN
1568-5683
DOI
10.1163/156856894X00152
Publisher site
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Abstract

Quantification of local symmetry: application to texture discrimination YORAM BONNEH, DANIEL REISFELD and YEHEZKEL YESHURUN* Department of Computer Science, Tel Aviv University, 69978 Tel Aviv, Israel Received 2 May 1994; revised 13 September; accepted 19 September 1994 Abstract-Symmetry is one of the most prominent cues in visual perception as well as in computer vision. We have recently presented a Generalized Symmetry Transform that receives as input an edge map, and outputs a symmetry map, where every point marks the intensity and orientation of the local generalized symmetry. In the context of computer vision, this map emphasizes points of high symmetry, which, in turn, are used to detect regions of interest for active vision systems. Many psychophysical experiments in texture discrimination use images that consist of various micro-patterns. Since the Generalized Symmetry Transform captures local spatial relations between image edges, it has been used here to predict human performance in discrimination tasks. Applying the transform to micro-patterns in some well-studied quantitative experiments of human texture discrimination, it is shown that symmetry, as characterized by the present computational scheme, can account for most of them. 1. INTRODUCTION Symmetry is among the most prominent spatial relations perceived by humans. Nat- ural

Journal

Spatial Vision (continued as Seeing & Perceiving from 2010) – Brill

Published: Jan 1, 1994

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