Multiresolution Rotational Symmetry Detection via Radius-Based Frieze-Expansion

Rotational symmetry is important for many applications in computer graphics, vision, and image processing. However, it remains difficult to design an effective algorithm for automatic symmetry recognition. In this paper, we present a rotational symmetry detection algorithm, which is easy to use and...

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Main Authors: Gang Pan, Di Sun, Yarui Chen, Chuanlei Zhang
Format: Article
Language:English
Published: Wiley 2016-01-01
Series:Journal of Electrical and Computer Engineering
Online Access:http://dx.doi.org/10.1155/2016/5683632
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author Gang Pan
Di Sun
Yarui Chen
Chuanlei Zhang
author_facet Gang Pan
Di Sun
Yarui Chen
Chuanlei Zhang
author_sort Gang Pan
collection DOAJ
description Rotational symmetry is important for many applications in computer graphics, vision, and image processing. However, it remains difficult to design an effective algorithm for automatic symmetry recognition. In this paper, we present a rotational symmetry detection algorithm, which is easy to use and can determine both the center and the radius of the rotational symmetry supporting region without human interaction. Our algorithm is derived from frieze-expansions approach and improved through a radius-based expansion idea. Multiresolution pyramid is used to accelerate this detection process. We also discuss a solution to deal with rotational symmetry detection under slight affine transformation. Experimental results show that the method is effective for most nature images with rotational symmetry.
format Article
id doaj-art-c6c6ad3a1763488593ac8b1dffc136a4
institution OA Journals
issn 2090-0147
2090-0155
language English
publishDate 2016-01-01
publisher Wiley
record_format Article
series Journal of Electrical and Computer Engineering
spelling doaj-art-c6c6ad3a1763488593ac8b1dffc136a42025-08-20T02:19:41ZengWileyJournal of Electrical and Computer Engineering2090-01472090-01552016-01-01201610.1155/2016/56836325683632Multiresolution Rotational Symmetry Detection via Radius-Based Frieze-ExpansionGang Pan0Di Sun1Yarui Chen2Chuanlei Zhang3Tianjin University, Tianjin 300072, ChinaTianjin University, Tianjin 300072, ChinaTianjin University of Science and Technology, Tianjin 300222, ChinaTianjin University of Science and Technology, Tianjin 300222, ChinaRotational symmetry is important for many applications in computer graphics, vision, and image processing. However, it remains difficult to design an effective algorithm for automatic symmetry recognition. In this paper, we present a rotational symmetry detection algorithm, which is easy to use and can determine both the center and the radius of the rotational symmetry supporting region without human interaction. Our algorithm is derived from frieze-expansions approach and improved through a radius-based expansion idea. Multiresolution pyramid is used to accelerate this detection process. We also discuss a solution to deal with rotational symmetry detection under slight affine transformation. Experimental results show that the method is effective for most nature images with rotational symmetry.http://dx.doi.org/10.1155/2016/5683632
spellingShingle Gang Pan
Di Sun
Yarui Chen
Chuanlei Zhang
Multiresolution Rotational Symmetry Detection via Radius-Based Frieze-Expansion
Journal of Electrical and Computer Engineering
title Multiresolution Rotational Symmetry Detection via Radius-Based Frieze-Expansion
title_full Multiresolution Rotational Symmetry Detection via Radius-Based Frieze-Expansion
title_fullStr Multiresolution Rotational Symmetry Detection via Radius-Based Frieze-Expansion
title_full_unstemmed Multiresolution Rotational Symmetry Detection via Radius-Based Frieze-Expansion
title_short Multiresolution Rotational Symmetry Detection via Radius-Based Frieze-Expansion
title_sort multiresolution rotational symmetry detection via radius based frieze expansion
url http://dx.doi.org/10.1155/2016/5683632
work_keys_str_mv AT gangpan multiresolutionrotationalsymmetrydetectionviaradiusbasedfriezeexpansion
AT disun multiresolutionrotationalsymmetrydetectionviaradiusbasedfriezeexpansion
AT yaruichen multiresolutionrotationalsymmetrydetectionviaradiusbasedfriezeexpansion
AT chuanleizhang multiresolutionrotationalsymmetrydetectionviaradiusbasedfriezeexpansion