Jinjiang Liu
School of Computer and Information Technology, Nanyang Normal University, Nanyang 473061, China
Jingjing Liang
School of Computer and Information Technology, Nanyang Normal University, Nanyang 473061, China
Yihua Lan
School of Computer and Information Technology, Nanyang Normal University, Nanyang 473061, China
Quanzhou Cheng
School of Computer and Information Technology, Nanyang Normal University, Nanyang 473061, China
Ming Li
Imaging Processing Business Dept of Beijing E-COM Technology Co., Ltd., Beijing, 100176, China
Chih-Cheng Hung
Sino-US Intelligent Information Processing Joint Lab, Anyang Normal University, Anyang 455000, China
ABSTRACT
In this study, a new image segmentation method using both region and edge information is proposed to combine the two types of methods or information to achieve accurate segmentation results. The region information is represented by a simple binary mask and the edge information is abstracted from the gradient image. A global optimal total variation model is employed to combine them together. Experimental results demonstrate the efficacy of the proposed method.
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How to cite this article
Jinjiang Liu, Jingjing Liang, Yihua Lan, Quanzhou Cheng, Ming Li and Chih-Cheng Hung, 2013. TV-Seg: Total Variation Segmentation with Imprecise Region. Journal of Applied Sciences, 13: 2102-2106.
DOI: 10.3923/jas.2013.2102.2106
URL: https://scialert.net/abstract/?doi=jas.2013.2102.2106
DOI: 10.3923/jas.2013.2102.2106
URL: https://scialert.net/abstract/?doi=jas.2013.2102.2106
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