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16 September 1994 Skeleton generation using mathematical morphology
C. K. Lee, Siu Pang Wong
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Proceedings Volume 2308, Visual Communications and Image Processing '94; (1994) https://doi.org/10.1117/12.185880
Event: Visual Communications and Image Processing '94, 1994, Chicago, IL, United States
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.
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C. K. Lee and Siu Pang Wong "Skeleton generation using mathematical morphology", Proc. SPIE 2308, Visual Communications and Image Processing '94, (16 September 1994); https://doi.org/10.1117/12.185880
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KEYWORDS
Image processing
Detection and tracking algorithms
Image classification
Mathematical morphology
Image analysis
Binary data
Electronics engineering
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