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
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