Lung CT Image Segmentation Based on Mixture Active Contour Model-Reference-Cited by-同舟云学术

Lung CT Image Segmentation Based on Mixture Active Contour Model

Published:2014-08 Issue: Volume:618 Page:405-409
ISSN:1662-7482
Container-title:Applied Mechanics and Materials
language:
Short-container-title:AMM

Author:

Tao Ke Qin¹,Qu Zhe¹,Wang Dong Dong¹

Affiliation:

1. Qingdao Binhai University

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.

Publisher

Trans Tech Publications, Ltd.

Link

https://www.scientific.net/AMM.618.405.pdf

Reference6 articles.

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