Lung CT Image Segmentation Based on Mixture Active Contour Model

Ke Qin Tao; Zhe Qu; Dong Dong Wang

doi:10.4028/www.scientific.net/AMM.618.405

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 618Lung CT Image Segmentation Based on Mixture Active...

Lung CT Image Segmentation Based on Mixture Active Contour Model

Abstract:

In order to solve the difficult problem in lung CT image segmentation, the segmentation method based on Mixture Active Contour Model is proposed and the learning algorithm is presented. It gets the prior information of lung CT image segmentation through Gaussian Mixture Model, couples the penalty term and edge detection of the level set function. Experimental results illustrate the effectiveness of the method based on MACM in solving lung CT image segmentation.

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Periodical:

Applied Mechanics and Materials (Volume 618)

Pages:

405-409

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.618.405

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Online since:

August 2014

Authors:

Ke Qin Tao, Zhe Qu, Dong Dong Wang*

Keywords:

Active Contour Model, Gaussian Mixture Model, Image Segmentation, Lung CT, Mixture Active Contour Model

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* - Corresponding Author

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