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Proceedings Paper

Parallel algorithm for volumetric segmentation
Author(s): Shih-Ping Liou; Ramesh C. Jain
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Paper Abstract

Developing techniques for interpreting the structure of volumetric data is useful in many applications. A key initial stage is volumetric segmentation involving the processes of pariilionirig and idenificaion. Here we present a parallel algorithm which through the use of a-partitioning and volume filtering segments volumetric image data such that the greylevel variation within each volume can be described by a regression model. Experimental results demonstrate the effectiveness of this algorithm on several real-world 3D images.

Paper Details

Date Published: 1 February 1991
PDF: 12 pages
Proc. SPIE 1381, Intelligent Robots and Computer Vision IX: Algorithms and Techniques, (1 February 1991); doi: 10.1117/12.25175
Show Author Affiliations
Shih-Ping Liou, Zexel Technologies USA, Inc. (United States)
Ramesh C. Jain, Univ. of Michigan (United States)


Published in SPIE Proceedings Vol. 1381:
Intelligent Robots and Computer Vision IX: Algorithms and Techniques
David P. Casasent, Editor(s)

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