Proceedings Paper
Effects of the clique-potentials on maximum a posteriori region segmentation| Format | Member Price | Non-Member Price |
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Paper Abstract
In this paper we review image modeling using Gibbs-Markov random fields and empirically investigate the effects of clique potentials in the Gibbs-Markov models when used in maximum a posteriori (MAP) segmentation of textured images.
Paper Details
Date Published: 1 November 1992
PDF: 13 pages
Proc. SPIE 1825, Intelligent Robots and Computer Vision XI: Algorithms, Techniques, and Active Vision, (1 November 1992); doi: 10.1117/12.131541
Published in SPIE Proceedings Vol. 1825:
Intelligent Robots and Computer Vision XI: Algorithms, Techniques, and Active Vision
David P. Casasent, Editor(s)
PDF: 13 pages
Proc. SPIE 1825, Intelligent Robots and Computer Vision XI: Algorithms, Techniques, and Active Vision, (1 November 1992); doi: 10.1117/12.131541
Show Author Affiliations
Aly A. Farag, Univ. of Louisville (United States)
Yuen-Pin Yeap, Univ. of Louisville (United States)
Yuen-Pin Yeap, Univ. of Louisville (United States)
Edward J. Delp III, Purdue Univ. (United States)
Published in SPIE Proceedings Vol. 1825:
Intelligent Robots and Computer Vision XI: Algorithms, Techniques, and Active Vision
David P. Casasent, Editor(s)
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