A soft multiphase segmentation model via Gaussian mixture

Authors:
Celia A. Zorzo Barcelos;Yunmei Chen;Fuhua Chen
Affiliations:
Federal University of Uberlândia., Faculty of Mathematics;University of Florida, Department of Mathematics;University of Florida, Department of Mathematics
Venue:
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Year:
2009

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Abstract

This paper developed a new soft multiphase segmentation model. Different from most maximum-likelihood based and Bayesian-estimation based methods, the proposed model introduced a geometrical constraint- "the length term" into the model which makes the model more rigorous in analysis while still flexible in implementation. Moreover, the model used mixed Gaussian with different parameters for different patterns. As a result, it is more robust to noise. The experiments demonstrated its high efficiency.