DocumentCode
1383101
Title
Irregular Shape Symmetry Analysis: Theory and Application to Quantitative Galaxy Classification
Author
Guo, Qi ; Falei Guo ; Shao, Jiaqing
Author_Institution
Strangeways Res. Lab., Univ. of Cambridge, Cambridge, UK
Volume
32
Issue
10
fYear
2010
Firstpage
1730
Lastpage
1743
Abstract
This paper presents a set of imperfectly symmetric measures based on a series of geometric transformation operations for quantitatively measuring the “amount” of symmetry of arbitrary shapes. The definitions of both bilateral symmetricity and rotational symmetricity give new insight into analyzing the geometrical property of a shape and enable characterizing arbitrary shapes in a new way. We developed a set of criteria for quantitative galaxy classification using our proposed irregular shape symmetry measures. Our study has demonstrated the effectiveness of the proposed method for the characterization of the shape of the celestial bodies. The concepts described in the paper are applicable to many fields, such as mathematics, artificial intelligence, digital image processing, robotics, biomedicine, etc.
Keywords
computational geometry; pattern classification; arbitrary shapes; artificial intelligence; biomedicine; digital image processing; geometric transformation operations; geometrical property; irregular shape symmetry analysis; quantitative galaxy classification; robotics; Accidents; Artificial intelligence; Biomedical measurements; Digital images; Fractals; Intelligent robots; Mathematics; Reflection; Rotation measurement; Shape measurement; Bilateral and rotational symmetry; galaxy classification.; irregularity; symmetry measure;
fLanguage
English
Journal_Title
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher
ieee
ISSN
0162-8828
Type
jour
DOI
10.1109/TPAMI.2010.13
Filename
5383363
Link To Document