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A modified K3M thinning algorithm

Marek TabedzkiKhalid SaeedAdam Szczepański — 2016

International Journal of Applied Mathematics and Computer Science

The K3M thinning algorithm is a general method for image data reduction by skeletonization. It had proved its feasibility in most cases as a reliable and robust solution in typical applications of thinning, particularly in preprocessing for optical character recognition. However, the algorithm had still some weak points. Since then K3M has been revised, addressing the best known drawbacks. This paper presents a modified version of the algorithm. A comparison is made with the original one and two...

K3M: a universal algorithm for image skeletonization and a review of thinning techniques

Khalid SaeedMarek TabędzkiMariusz RybnikMarcin Adamski — 2010

International Journal of Applied Mathematics and Computer Science

This paper aims at three aspects closely related to each other: first, it presents the state of the art in the area of thinning methodologies, by giving descriptions of general ideas of the most significant algorithms with a comparison between them. Secondly, it proposes a new thinning algorithm that presents interesting properties in terms of processing quality and algorithm clarity, enriched with examples. Thirdly, the work considers parallelization issues for intrinsically sequential algorithms...

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