CS-GAC: Compressively sensed geodesic active contours
文献类型：期刊论文
| 作者 | Shan, Hao1,2
|
| 刊名 | PATTERN RECOGNITION
 |
| 出版日期 | 2024-02-01 |
| 卷号 | 146页码:110007 |
| 关键词 | Compressed sensing/compressive sampling Geodesic active contours Edge detection Sparse reconstruction Image segmentation Level set Shearlet Curvelet Wavelet |
| ISSN号 | 0031-3203 |
| DOI | 10.1016/j.patcog.2023.110007 |
| 产权排序 | 1 |
| 英文摘要 | This paper proposes an edge based compressively sensed (CS) geodesic active contour (GAC) model, termed CS-GAC, to ensure faithful edge detection and accurate object segmentation. The motivation behind this paper is that edge information driving the contour evolution can be iteratively obtained by incomplete CS measurements. In each iteration, the CS-GAC is a three-step process including edge detection, active contouring and sparse reconstruction. Instead of working on the final reconstructed images themselves, the evolution of the CS-GAC is driven by a few CS measurements and guided by updatable edge information. The edge information is generated by a complex shearlet transform (CST) based edge map. In the framework, reconstruction and edge detection work alternately. The iterative update property that takes advantages of both edge sparsity and edge detection can largely improve the evolution precision. Numerical experiments show that the CS-GAC can obtain challenging segmentation results in comparisons with the state of the art methods, and has competitive prospects. |
| WOS关键词 | IMAGE SEGMENTATION ; SNAKES ; MODEL ; INITIALIZATION ; RECONSTRUCTION ; FIELD |
| 资助项目 | Special Projects of Major Science and Technology in Xinjiang Uygur Autonomous Region, China[2022A03013-4] ; NSFC[12373114] ; NSFC[12041304] ; NSFC[11673056] ; NSFC[11173042] ; China Scholarship Council, China[201409655001] ; Operation, Maintenance and Upgrading Fund for Astronomical Telescopes ; Ministry of Finance of China |
| WOS研究方向 | Computer Science ; Engineering |
| 语种 | 英语 |
| WOS记录号 | WOS:001099691900001 |
| 出版者 | ELSEVIER SCI LTD |
| 资助机构 | Special Projects of Major Science and Technology in Xinjiang Uygur Autonomous Region, China ; NSFC ; China Scholarship Council, China ; Operation, Maintenance and Upgrading Fund for Astronomical Telescopes ; Ministry of Finance of China |
| 源URL | [http://ir.xao.ac.cn/handle/45760611-7/5589]  |
| 专题 | 射电天文研究室_行星科学研究组 |
| 通讯作者 | Shan, Hao |
| 作者单位 | 1.Chinese Acad Sci, Xinjiang Astron Observ, 150 Sci St 1st, Urumqi 830011, Xinjiang, Peoples R China 2.Chinese Acad Sci, Xinjiang Key Lab Radio Astrophys, 150 Sci St 1st, Urumqi 830011, Xinjiang, Peoples R China |
| 推荐引用方式 GB/T 7714 | Shan, Hao. CS-GAC: Compressively sensed geodesic active contours[J]. PATTERN RECOGNITION,2024,146:110007. |
| APA | Shan, Hao.(2024).CS-GAC: Compressively sensed geodesic active contours.PATTERN RECOGNITION,146,110007. |
| MLA | Shan, Hao."CS-GAC: Compressively sensed geodesic active contours".PATTERN RECOGNITION 146(2024):110007. |
入库方式： OAI收割
来源：新疆天文台
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