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Proceedings Paper

A fuzzy-statistical contour model for MRI segmentation and target tracking
Author(s): Wael Abd-Almageed; Aly El-Osery; Christopher Smith
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Paper Abstract

In this paper, a new formulation for the parametric active contour model is presented. The new formulation is based on statistical pattern recognition theory. A hybrid of kernel density estimation and fuzzy logic is used to show that active contours can be thought of as a pattern recognition problem. The proposed approach is used in two different application domains, with different performance requirements, to demonstrate its effectiveness. First, the proposed approach is used for a magnetic resonance image segmentation problem to demonstrate the segmentation accuracy. Second, the contour is used in a target tracking experiment to show its tracking capabilities.

Paper Details

Date Published: 15 July 2004
PDF: 9 pages
Proc. SPIE 5438, Visual Information Processing XIII, (15 July 2004); doi: 10.1117/12.541406
Show Author Affiliations
Wael Abd-Almageed, Univ. of Maryland/College Park (United States)
Aly El-Osery, New Mexico Institute of Mining and Technology (United States)
Christopher Smith, Univ. of New Mexico (United States)

Published in SPIE Proceedings Vol. 5438:
Visual Information Processing XIII
Zia-ur Rahman; Robert A. Schowengerdt; Stephen E. Reichenbach, Editor(s)

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