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Proceedings Paper

Skeleton generation using mathematical morphology
Author(s): C. K. Lee; Siu Pang Wong
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Paper Abstract

In this paper, we shall investigate thinning algorithms based on morphological hit/miss transform. Our target is to extract skeletons of closed-loop objects in noisy images. After the thinning process, many skeletal legs are generated and some of them may be very long, which require much time to be shortened. First, we propose three algorithms which can speed up the skeletal leg shortening process in different situations and investigate their performance to a single skeletal leg. Secondly we suggest a method of classifying an image using the skeletal leg patterns. Finally we investigate the efficiencies of the three proposed algorithms to different kinds of skeletal leg patterns and propose a decision method to select the most efficient algorithm for a particular image.

Paper Details

Date Published: 16 September 1994
PDF: 12 pages
Proc. SPIE 2308, Visual Communications and Image Processing '94, (16 September 1994); doi: 10.1117/12.185880
Show Author Affiliations
C. K. Lee, Hong Kong Polytechnic (Hong Kong)
Siu Pang Wong, Hong Kong Polytechnic (Hong Kong)


Published in SPIE Proceedings Vol. 2308:
Visual Communications and Image Processing '94
Aggelos K. Katsaggelos, Editor(s)

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