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An integrated two-stage approach for image segmentation via active contours
作者:Wang, H (Wang, Hui)[ 1 ] ; Du, YQ (Du, Yingqiong)[ 2 ] ; Han, J (Han, Jing)[ 1 ]

MULTIMEDIA TOOLS AND APPLICATIONS

DOI: 10.1007/s11042-020-08950-2

Early access icon在线发表日期: MAY 2020
文献类型:Article; Early Access

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摘要
A novel integrated two-stage approach is proposed for image segmentation, where the edge, global and local region information of images are in turn incorporated to define the intensity fitting energy. In the first stage, the Chan-Vese model flexibly assimilates the edge indicator function in the beginning, and then the Laplace operator is introduced to regularize the level set function when minimizing the energy functional. As an edge-based and global region-based active contour, it can be inclined to rapidly produce a coarse segmentation result. In the second stage, we further segment the image by absorbing the local region fitting energy, where its initialization is acquired by the final active contour of the first stage. In addition, we present a generalized level set regularization term, which efficiently eliminates the periodically re-initialization procedure of traditional level set methods and maintains the corresponding signed distance property. Compared with the first stage, the local object details are accurately segmented in the second stage, which can acquire an accurate segmentation result. Qualitative and quantitative experimental results demonstrate the accuracy, robustness and efficiency of our approach with applications to some synthetical and real-world images.

关键词
作者关键词:Image processing; Image segmentation; Active contour model; Level set method

KeyWords Plus:LEVEL SET EVOLUTION; DRIVEN; MODEL; ALGORITHMS; EFFICIENT; SNAKES

作者信息
通讯作者地址:

Anshun Univ, Sch Math & Phys, Anshun 561000, Guizhou, Peoples R China.
通讯作者地址: Wang, H (corresponding author)

              Anshun Univ, Sch Math & Phys, Anshun 561000, Guizhou, Peoples R China.
地址:

              [ 1 ]‎ Anshun Univ, Sch Math & Phys, Anshun 561000, Guizhou, Peoples R China
              [ 2 ]‎ Anshun Univ, Sch Resources & Environm Engn, Anshun 561000, Guizhou, Peoples R China
电子邮件地址:wanghui561403@163.com

基金资助致谢
基金资助机构显示详情        授权号
Union Program of Science Technology of Guizhou Province          
Anshun Government          
Anshun University        
LH20157699
Natural Science Research Foundation of Guizhou Education Department        
KY2018034
KY2018070
National Natural Science Foundation of China

11601010
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出版商
SPRINGER, VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS

类别 / 分类
研究方向:Computer Science; Engineering

Web of Science 类别:Computer Science, Information Systems; Computer Science, Software Engineering; Computer Science, Theory & Methods; Engineering, Electrical & Electronic

文献信息
语言:English

入藏号: WOS:000529768200002

ISSN: 1380-7501

eISSN: 1573-7721

其他信息
IDS 号: LI9AD

Web of Science 核心合集中的 "引用的参考文献": 37

Web of Science 核心合集中的 "被引频次": 0，