Paper
15 September 2004 Fast algorithms of constrained Delaunay triangulation and skeletonization for band images
Wei Zeng, ChengLei Yang, XiangXu Meng, YiJun Yang, XiuKun Yang
Author Affiliations +
Abstract
For the boundary polygons of band-images, a fast constrained Delaunay triangulation algorithm is presented and based on it an efficient skeletonization algorithm is designed. In the process of triangulation the characters of uniform grid structure and the band-polygons are utilized to improve the speed of computing the third vertex for one edge within its local ranges when forming a Delaunay triangle. The final skeleton of the band-image is derived after reducing each triangle to local skeleton lines according to its topology. The algorithm with a simple data structure is easy to understand and implement. Moreover, it can deal with multiply connected polygons on the fly. Experiments show that there is a nearly linear dependence between triangulation time and size of band-polygons randomly generated. Correspondingly, the skeletonization algorithm is also an improvement over the previously known results in terms of time. Some practical examples are given in the paper.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Wei Zeng, ChengLei Yang, XiangXu Meng, YiJun Yang, and XiuKun Yang "Fast algorithms of constrained Delaunay triangulation and skeletonization for band images", Proc. SPIE 5403, Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense III, (15 September 2004); https://doi.org/10.1117/12.532615
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Cited by 1 scholarly publication.
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KEYWORDS
Computer aided design

Algorithm development

Computer science

Homeland security

Visualization

C3I

Intelligent sensors

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