AG3line: Active grouping and geometry-gradient combined validation for fast line segment extraction
AG3line: Active grouping and geometry-gradient combined validation for fast line segment extraction
复制标题
AG3line：主动分组和几何梯度组合验证，用于快速线段提取
DOI：
10.1016/j.patcog.2021.107834
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发表时间：
2021
影响因子：
8
通讯作者：
Dong Wei
中科院分区：
文献类型：
--
作者：
Yongjun Zhang;Dong Wei
• Active grouping in the anchor map with line geometry constraint enables reducing the fracture caused by unstable pixels. • Exploiting the alignment of gradient magnitude, but not the gradient orientation in previous methods, is also effective in controlling false positives. • The state of the art methods performed differently in the two sets of ground truth that are different in line segments’ length. • The quantitative evaluation showed that proposed method outperformed the classical line segment detectors in both the accuracy and the computation time. Line segment detectors based on local image domain passively fit a line segment from a set of pixels, but no constraint on line geometry is set in the grouping process. Therefore, unstable pixels, such as the pixels in grass, clouds, or weak gradient edges, may cause false positives and fractures. This paper proposes the detector named AG3line, which employs an efficient active grouping strategy. In AG3line, the pixel for the next grouping is calculated actively with the line geometry and it can even be accurate to one pixel. To reduce the fracture caused by unstable pixels, when the adjacent pixel cannot satisfy the grouping rules, the candidate pixels for the next grouping are expanded with the line geometry constraint. To furtherly control false positives, AG3line then validates and refines the line segments by exploiting both the line geometry and the alignment of gradient magnitude. When AG3line was evaluated utilizing the image dataset with the ground truth, it outperformed both the classical and the latest detectors.The implementation of AG3line is available at https://github.com/weidong-whu/AG3line .
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影响因子：
19.5
作者：
Desolneux, A;Moisan, L;Morel, JM
通讯作者：
Morel, JM
影响因子：
19.5
作者：
E. Tretyak;O. Barinova;Pushmeet Kohli;V. Lempitsky
通讯作者：
E. Tretyak;O. Barinova;Pushmeet Kohli;V. Lempitsky
影响因子：
19.5
作者：
Lilian Zhang;Huimin Lu;Xiaoping Hu;R. Koch
通讯作者：
Lilian Zhang;Huimin Lu;Xiaoping Hu;R. Koch
影响因子：
8
作者：
KIRYATI, N;ELDAR, Y;BRUCKSTEIN, AM
通讯作者：
BRUCKSTEIN, AM
DOI：
--
发表时间：
1992-04
期刊：
--
影响因子：
--
作者：
A. Etemadi
通讯作者：
A. Etemadi