A new shape preserving parallel thinning algorithm for 3D digital images

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Abstract

This paper is concerned with a new parallel thinning algorithm for three-dimensional digital images that preserves the topology and maintains their shape. We introduce an approach of selecting shape points and outer-layer used for erosion during each iteration. The approach produces good skeleton for different types of corners. The concept of using two image versions in thinning is introduced and its necessity in parallel thinning is justified. The robustness of the algorithm under pseudo-random noise as well as rotation with respect to shape properties is studied and the results are found to be satisfactory. © 1997 Pattern Recognition Society. Published by Elsevier Science Ltd.

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Saha, P. K., Chaudhuri, B. B., & Majumder, D. D. (1997). A new shape preserving parallel thinning algorithm for 3D digital images. Pattern Recognition, 30(12), 1939–1955. https://doi.org/10.1016/S0031-3203(97)00016-2

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