A Level Set Method for Image Segmentation with Energy Function Based on Mixture of Gaussian distribution
Publish Year: 1393
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
MATHPHY02_140
تاریخ نمایه سازی: 30 شهریور 1394
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.
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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
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