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Proceedings Paper

A 3D Multiresolution Segmentation Algorithm For Surface Reconstruction From CT Data
Author(s): Alan Kalvin; Shmuel Peleg
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Paper Abstract

Multiresolution data structures, such as image pyramids, have many different uses in image processing and analysis. We present a segmentation algorithm which uses image pyramids for efficient segmentation of 3D images. The segmented objects are converted from a voxel to a polyhedral surface representation. Results of experiments on synthetic and actual CT data are presented, and future enhancements to the algorithm are discussed.

Paper Details

Date Published: 25 May 1989
PDF: 10 pages
Proc. SPIE 1092, Medical Imaging III: Image Processing, (25 May 1989); doi: 10.1117/12.953258
Show Author Affiliations
Alan Kalvin, New York University Medical Center (United States)
Shmuel Peleg, The Hebrew University of Jerusalem (Israel)


Published in SPIE Proceedings Vol. 1092:
Medical Imaging III: Image Processing
Samuel J. Dwyer; R. Gilbert Jost; Roger H. Schneider, Editor(s)

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