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 :
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