Mixture models for dynamic statistical pressure snakes
Title | Mixture models for dynamic statistical pressure snakes |
Publication Type | Conference Paper |
Year of Publication | 2002 |
Authors | W. Abd-almageed, and C. E. Smith |
Conference Name | International Conference on Pattern Recognition |
Abstract | This paper introduces a new approach to statistical pressure snakes. It uses statistical modeling for both object and background to obtain a more robust pressure model. The Expectation Maximization (EM) algorithm is used to model the data into a Mixture of Gaussians (MoG). Bayesian theory is then employed as a decision making mechanism. Experimental results using the traditional pressure model and the new mixture pressure model demonstrate the effectiveness of the new models. |
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