Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 38, 2021 No. 3
946-951

Active contour model based on joint constraint with superpixel/pixel and sparse decomposition

Liu Guoqia,b
Dong Yifeia
Li Xushenga
Ru Linyuana
Chang Baofanga
a. College of Computer & Information Engineering, b. Henan Engineering Laboratory of Big Data for Teaching Resources & Assessment of Education Quality, Henan Normal University, Xinxiang Henan 453007, China
DOI: 10.19734/j.issn.1001-3695.2019.12.0697

Abstract

Aiming at these problems that image segmentation model oriented on level set model can not accurately segment object and is sensitive to noise and initial contour, this paper proposed an active contour model based on joint constraint with superpixel/pixel and sparse decomposition. First, it introduced the superpixel to extract image block information and constructed a symbol pressure function to prevent contour evolution from falling into local optimization. Then it constructed the energy function relied on superpixels and pixels to remedy the defect that the superpixels couldn't retain local detials. In order to solve the problem of slow evolution speed for active contour model based on non-global information, it utilized superpixels to accelerate the contour evolution. Finally, this paper introduced the constraint conditions based on sparse decomposition to weaken the influence of local noise. Compared with various level set methods, the experimental results verify the effectiveness of the proposed method. The proposed method is more robust to noise and initial contour location, the average Jaccard similarity coefficient is increased by 34% compared with original selective binary and Gaussian filtering regularized level set.

Foundation Support

国家自然科学基金资助项目(U1404603, 61901160)
河南省高等学校重点科研项目(19A510016,15A520078)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2019.12.0697
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 3
Section: Technology of Graphic & Image
Pages: 946-951
Serial Number: 1001-3695(2021)03-060-0946-06

Publish History

[2021-03-05] Printed Article

Cite This Article

刘国奇, 董一飞, 李旭升, 等. 基于超像素/像素协同约束和稀疏分解活动轮廓模型 [J]. 计算机应用研究, 2021, 38 (3): 946-951. (Liu Guoqi, Dong Yifei, Li Xusheng, et al. Active contour model based on joint constraint with superpixel/pixel and sparse decomposition [J]. Application Research of Computers, 2021, 38 (3): 946-951. )

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Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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