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Paper
Title

A Level Set Method for Image Segmentation with Energy Function Based on Mixture of Gaussian distribution

Year: 1393
COI: MATHPHY02_140
Language: EnglishView: 605
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Authors

Nima Vakili - The authors are with the Mathematics and Computer Science Departments,University of Tarbiat Modares,Tehran,Iran
Mansoor Rezghi - The authors are with the Mathematics and Computer Science Departments,University of Tarbiat Modares,Tehran,Iran
S.Mohammad Hosseini - The authors are with the Mathematics and Computer Science Departments,University of Tarbiat Modares,Tehran,Iran

Abstract:

In this paper, we present a novel level set method for image segmentation by utilizing the Bayesian rule and Mixture of Gaussian distribution as a conductor which its parameters are obtained from EM-algorithm. We use an Adaptive direction function to make the curve evolution robust against the curve’s initial position and a nonlinear adaptive velocity to speed up the process of curve evolution and also a probability-weighted edge and region indicator function to implement a robust segmentation for objects with weak boundaries. The proposed method has the following features:1) By using the Bayesian rule that contains the regional features of image, it automatically determines the curve to shrink or expand; 2) To avoid the leakage at weak boundaries it accompanies the curve evolution an appropriate speed.

Keywords:

Paper COI Code

This Paper COI Code is MATHPHY02_140. Also You can use the following address to link to this article. This link is permanent and is used as an article registration confirmation in the Civilica reference:

https://civilica.com/doc/381182/

How to Cite to This Paper:

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Vakili, Nima and Rezghi, Mansoor and Hosseini, S.Mohammad,1393,A Level Set Method for Image Segmentation with Energy Function Based on Mixture of Gaussian distribution,The Second National Conference on Applied Research in Mathematics and Physics,Tehran,https://civilica.com/doc/381182

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