A new fast morphological geodesic active contour method for lung CT image segmentation

Measurement ◽  
2019 ◽  
Vol 148 ◽  
pp. 106687 ◽  
Author(s):  
Aldísio G. Medeiros ◽  
Matheus T. Guimarães ◽  
Solon A. Peixoto ◽  
Lucas de O. Santos ◽  
Antônio C. da Silva Barros ◽  
...  
Keyword(s):  
Image Segmentation ◽  
Active Contour ◽  
Contour Method ◽  
Ct Image ◽  
Geodesic Active Contour ◽  
Active Contour Method ◽  
Lung Ct

Saliency map based active contour method for automatic image segmentation

2012 ◽  
Author(s):  
Changcai Yang ◽  
Xinyi Zheng ◽  
Shengxiang Qi ◽  
Jinwen Tian ◽  
Sheng Zheng
Keyword(s):  
Image Segmentation ◽  
Active Contour ◽  
Saliency Map ◽  
Contour Method ◽  
Active Contour Method

Lung CT Image Segmentation Based on Mixture Active Contour Model

2014 ◽  
Vol 618 ◽  
pp. 405-409 ◽  
Author(s):  
Ke Qin Tao ◽  
Zhe Qu ◽  
Dong Dong Wang
Keyword(s):  
Image Segmentation ◽  
Active Contour ◽  
Learning Algorithm ◽  
Active Contour Model ◽  
Gaussian Mixture ◽  
Ct Image ◽  
Penalty Term ◽  
Level Set Function ◽  
Contour Model ◽  
Lung Ct

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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