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Thinning methodologies-a comprehensive survey

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3 Author(s)
L. Lam ; Centre for Pattern Recognition & Machine Intelligence, Concordia Univ., Montreal, Que., Canada ; S. -W. Lee ; C. Y. Suen

A comprehensive survey of thinning methodologies is presented. A wide range of thinning algorithms, including iterative deletion of pixels and nonpixel-based methods, is covered. Skeletonization algorithms based on medial axis and other distance transforms are not considered. An overview of the iterative thinning process and the pixel-deletion criteria needed to preserve the connectivity of the image pattern is given first. Thinning algorithms are then considered in terms of these criteria and their modes of operation. Nonpixel-based methods that usually produce a center line of the pattern directly in one pass without examining all the individual pixels are discussed. The algorithms are considered in great detail and scope, and the relationships among them are explored

Published in:

IEEE Transactions on Pattern Analysis and Machine Intelligence  (Volume:14 ,  Issue: 9 )