DocumentCode
3425853
Title
A symmetric convexity measure
Author
Rosin, Paul L. ; Mumford, Christine L.
Author_Institution
Cardiff Sch. of Comput. Sci., Cardiff Univ., UK
Volume
4
fYear
2004
fDate
23-26 Aug. 2004
Firstpage
11
Abstract
A new area-based convexity measure for polygons is described. It has the desirable properties that it is not sensitive to small boundary defects, and it is symmetric with respect to intrusions and protrusions. The measure requires a maximally overlapping convex polygon, and this is efficiently estimated using a genetic algorithm. Examples of the measures application to medical image analysis are shown.
Keywords
genetic algorithms; image classification; medical image processing; shape measurement; area-based convexity measure; genetic algorithm; maximally overlapping convex polygon; medical image analysis; small boundary defects; symmetric convexity measure; Area measurement; Arm; Biomedical imaging; Character generation; Computer science; Genetic algorithms; Image analysis; Image segmentation; Robustness; Shape measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on
ISSN
1051-4651
Print_ISBN
0-7695-2128-2
Type
conf
DOI
10.1109/ICPR.2004.1333693
Filename
1333693
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