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26 June 1992 Hierarchical shape representation for use in anatomical object recognition
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Proceedings Volume 1660, Biomedical Image Processing and Three-Dimensional Microscopy; (1992) https://doi.org/10.1117/12.59588
Event: SPIE/IS&T 1992 Symposium on Electronic Imaging: Science and Technology, 1992, San Jose, CA, United States
Abstract
An efficient scheme for representation of the shape of anatomical and pathological structures is required for intelligent computer interpretation of medical images. We present an approach to the extraction and representation of shape which, unlike previous shape representations, does not require complete boundary descriptions. It is based on the `Delaunay triangulation' and its dual the `Voronoi diagram.' Our method of using this dual leads to both a skeleton description and a boundary description. The basic step in the algorithm is that of deciding whether to treat any pair of neighboring points as adjacent (lying next to each other on the same boundary) or opposite (lying on opposing sides of a skeleton separating two boundaries). The duality of the skeleton and boundary descriptions produced means that the splitting of one object into two separate objects, or the merging of two objects into one, can be easily accomplished.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Glynn P. Robinson, Alan C.F. Colchester, and Lewis D. Griffin "Hierarchical shape representation for use in anatomical object recognition", Proc. SPIE 1660, Biomedical Image Processing and Three-Dimensional Microscopy, (26 June 1992); https://doi.org/10.1117/12.59588
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