Paper
18 January 2006 Refinement of axial shape description
Author Affiliations +
Proceedings Volume 6066, Vision Geometry XIV; 606605 (2006) https://doi.org/10.1117/12.650822
Event: Electronic Imaging 2006, 2006, San Jose, California, United States
Abstract
The representation and characterization of planar shapes or regions has important consequences for image processing and image content understanding. Numerous approaches have been developed to provide image analysis with efficient methods to represent shapes. We present a region-based approach to extract a refined axial regional shape description in the form of a skeleton, which is based on the use of the constrained Delaunay triangulation (CDT) and the chordal axis transform (CAT). We elaborate on the exploitation of the approximate edge co-circularity criterion that is used to refine CAT-produced skeletons. The co-circularity criterion enables efficient evaluation of CDT-generated triangle edges lying inside regions (chords), and filters out non-salient chords. The application of this criterion produces smoother skeletons, allows skeleton to have vertices with branching degree higher than three that was due to the use of CDT, and significantly reduces number of skeleton segments. In this paper, in contrast with the chord strength evaluation of the original skeleton rectification algorithm, where chord strength evaluation does not include strengths of its neighboring chords, we introduce smoothing operator to evaluate chord strength by processing chord strengths within local neighborhood. The result of region characterization based on the proposed smoothing-based chord evaluation is that skeleton is more authentic (sensitive) to original shape, while at the same time it preserves all the advantages of the original skeleton rectification scheme. A number of examples, including comparison with skeletons generated by the original CAT-skeleton rectification algorithm, are presented to demonstrate our approach at work.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Alexei N. Skourikhine "Refinement of axial shape description", Proc. SPIE 6066, Vision Geometry XIV, 606605 (18 January 2006); https://doi.org/10.1117/12.650822
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KEYWORDS
Computed tomography

Image segmentation

Algorithm development

Image processing

Roads

Shape analysis

Image analysis

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