Literature DB >> 20875975

A relay level set method for automatic image segmentation.

Xinbo Gao1, Bin Wang, Dacheng Tao, Xuelong Li.   

Abstract

This paper presents a new image segmentation method that applies an edge-based level set method in a relay fashion. The proposed method segments an image in a series of nested subregions that are automatically created by shrinking the stabilized curves in their previous subregions. The final result is obtained by combining all boundaries detected in these subregions. The proposed method has the following three advantages: 1) It can be automatically executed without human-computer interactions; 2) it applies the edge-based level set method with relay fashion to detect all boundaries; and 3) it automatically obtains a full segmentation without specifying the number of relays in advance. The comparison experiments illustrate that the proposed method performs better than the representative level set methods, and it can obtain similar or better results compared with other popular segmentation algorithms.

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Year:  2010        PMID: 20875975     DOI: 10.1109/TSMCB.2010.2065800

Source DB:  PubMed          Journal:  IEEE Trans Syst Man Cybern B Cybern        ISSN: 1083-4419


  4 in total

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Journal:  IEEE Trans Cybern       Date:  2014-11-14       Impact factor: 11.448

2.  A Combined Random Forests and Active Contour Model Approach for Fully Automatic Segmentation of the Left Atrium in Volumetric MRI.

Authors:  Chao Ma; Gongning Luo; Kuanquan Wang
Journal:  Biomed Res Int       Date:  2017-02-19       Impact factor: 3.411

3.  A vessel active contour model for vascular segmentation.

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4.  A robust statistics driven volume-scalable active contour for segmenting anatomical structures in volumetric medical images with complex conditions.

Authors:  Kuanquan Wang; Chao Ma
Journal:  Biomed Eng Online       Date:  2016-04-14       Impact factor: 2.819

  4 in total

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