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Metrical properties of a collection of 2D parallel thinning algorithms

Abstract : This paper is dedicated to the study of metrical properties of a collection of 2D thinning algorithms that we have proposed. Here, we characterize their underlying metrics and use it to reduce the classical metrical biases that affect thinning algorithms in the square grid. We show that some algorithms from the collection lead to skeletons based on a particular geometry, corresponding to the (4,8)-median axis, which is a new shape descriptor, featuring nice robustness and conditioning properties.
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Contributor : Antoine Manzanera Connect in order to contact the contributor
Submitted on : Friday, October 30, 2015 - 12:51:07 PM
Last modification on : Wednesday, July 3, 2019 - 10:48:05 AM
Long-term archiving on: : Friday, April 28, 2017 - 6:54:12 AM


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Antoine Manzanera, Thierry Bernard. Metrical properties of a collection of 2D parallel thinning algorithms. International Workshop on Combinatorial Image Analysis (IWCIA'03), May 2003, Palerme, Italy. ⟨10.1016/S1571-0653(04)00491-3⟩. ⟨hal-01222698⟩



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