TY - CHAP T1 - Topology Preserving 3D Thinning Algorithms using Four and Eight Subfields T2 - Proceedings of the International Conference on Image Analysis and Recognition (ICIAR) Y1 - 2010 A1 - Gábor Németh A1 - Péter Kardos A1 - Kálmán Palágyi ED - Aurélio Campilho ED - Mohamed Kamel AB -

Thinning is a frequently applied technique for extracting skeleton-like shape features (i.e., centerline, medial surface, and topological kernel) from volumetric binary images. Subfield-based thinning algorithms partition the image into some subsets which are alternatively activated, and some points in the active subfield are deleted. This paper presents a set of new 3D parallel subfield-based thinning algorithms that use four and eight subfields. The three major contributions of this paper are: 1) The deletion rules of the presented algorithms are derived from some sufficient conditions for topology preservation. 2) A novel thinning scheme is proposed that uses iteration-level endpoint checking. 3) Various characterizations of endpoints yield different algorithms. © 2010 Springer-Verlag.

JF - Proceedings of the International Conference on Image Analysis and Recognition (ICIAR) T3 - Lecture Notes in Computer Science PB - Springer Verlag CY - Póvoa de Varzim, Portugal VL - 6111 N1 - ScopusID: 77955432947doi: 10.1007/978-3-642-13772-3_32 JO - LNCS ER -