DocumentCode :
2526200
Title :
Object Decomposition based on Superellipses
Author :
Hu, Wu-Chih
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Nat. Penghu Univ.
Volume :
3
fYear :
2006
fDate :
Aug. 30 2006-Sept. 1 2006
Firstpage :
333
Lastpage :
336
Abstract :
Superellipse is a flexible primitive and it can represent a large variety of shapes. Hence, this paper presents a superellipse decomposition of object contours. In the proposed method, part segmentation algorithm based on breakpoint types is used to obtain the convex parts of object contours. These convex parts are isolated and fitted by using superellipses. Tests show that the proposed method has a number of interesting properties including being scale/rotation/translation invariant, threshold-free, and efficient
Keywords :
curve fitting; image segmentation; object detection; pattern classification; breakpoint classification; contour-based part segmentation algorithm; object decomposition; superellipse fitting; Application software; Computer science; Computer vision; Feature extraction; Fitting; Humans; Partitioning algorithms; Pattern recognition; Shape; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Innovative Computing, Information and Control, 2006. ICICIC '06. First International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7695-2616-0
Type :
conf
DOI :
10.1109/ICICIC.2006.484
Filename :
1692182
Link To Document :
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