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Proceedings Paper

Statistical Model Based Image Segmentation Using Region Growing, Contour Relaxation And Classification
Author(s): Rudolf Mester; Uwe Franke
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Paper Abstract

A three-step segmentation method is introduced that is based on a layered statistical model both for region shapes as well as for the texture signals inside the regions. The result of an initial region growing phase is refined by a contour relaxation algorithm which, yields smooth region outlines. Finally, the remaining 'false' contours are detected and suppressed using a contour classifier.

Paper Details

Date Published:
PDF: 9 pages
Proc. SPIE 1001, Visual Communications and Image Processing '88: Third in a Series, ; doi: 10.1117/12.969005
Show Author Affiliations
Rudolf Mester, Technical University of Aachen (Germany)
Uwe Franke, Technical University of Aachen (Germany)

Published in SPIE Proceedings Vol. 1001:
Visual Communications and Image Processing '88: Third in a Series
T. Russell Hsing, Editor(s)

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