Knowledge Management System of Hefei Institute of Physical Science，CAS
| Single-pixel edge imaging with gradient Radon spectrum | |
Yang, Wei1,2; Meng, Wenwen3; Shi, Dongfeng1,2,4 ; Zha, Linbin1,2; Chen, Yafeng1; Huang, Jian1,2,4; Wang, Yingjian1,2,4
| |
| 2023-02-15 | |
| Source Publication | OPTICS COMMUNICATIONS
 |
| ISSN | 0030-4018 |
| Corresponding Author | Shi, Dongfeng(dfshi@aiofm.ac.cn) |
| Abstract | Edge detection has been a fundamental component in many image segmentation and object detection systems. Recently, many researchers have implemented direct edge detection with the single-pixel imaging system. Compared with traditional edge detection methods, it does not need the procedures of acquiring the object image and then performing edge detection on the image. However, many previous works need to shift the primary illumination patterns at least twice to get the gradient information in multiple directions, which leads to the surge of the measurements. In this paper, we propose a novel single-pixel edge imaging scheme by obtaining the gradient Radon spectrum. Although the proposed scheme also needs to shift the primary illumination patterns once to obtain the gradient information of the object, compared with the Radon single -pixel imaging, no additional measurements are required. In addition, with the gradient Radon spectrum, this scheme can also directly obtain the positions of the straight edges which can be used for image correction, target positioning, and so on. The experimental and numerical results indicate that a high-quality edge image of the object can be restored by the proposed scheme, and the positions of the straight edges can be effectively located with the gradient Radon spectrum. |
| Keyword | Single-pixel imaging Radon transform Edge detection Gradient Radon spectrum |
| DOI | 10.1016/j.optcom.2022.129064 |
| Indexed By | SCI |
| Language | 英语 |
| Funding Project | Foundation of Key Laboratory of Science and Technology Inno-vation of Chinese Academy of Sciences ; Youth Innovation Promotion Association of the Chinese Academy of Sciences ; Open Project of Advanced Laser Technology Laboratory of Anhui Province, China ; [CXJJ-20S028] ; [2020438] ; [AHL2021KF03] |
| Funding Organization | Foundation of Key Laboratory of Science and Technology Inno-vation of Chinese Academy of Sciences ; Youth Innovation Promotion Association of the Chinese Academy of Sciences ; Open Project of Advanced Laser Technology Laboratory of Anhui Province, China |
| WOS Research Area | Optics |
| WOS Subject | Optics |
| WOS ID | WOS:000882201900005 |
| Publisher | ELSEVIER |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.hfcas.ac.cn:8080/handle/334002/130416 |
| Collection | 中国科学院合肥物质科学研究院 |
| Corresponding Author | Shi, Dongfeng |
| Affiliation | 1.Chinese Acad Sci, Anhui Inst Opt & Fine Mech, Hefei Inst Phys Sci, Key Lab Atmospher Opt, Hefei 230031, Peoples R China 2.Univ Sci & Technol China, Sci Isl Branch Grad Sch, Hefei 230026, Peoples R China 3.Hefei Univ, Sch Artificial Intelligence & Big Data, Hefei 230601, Peoples R China 4.Adv Laser Technol Lab Anhui Prov, Hefei 230037, Peoples R China |
| First Author Affilication | Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, Anhui 230031, China |
| Corresponding Author Affilication | Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, Anhui 230031, China |
| Recommended Citation GB/T 7714 | Yang, Wei,Meng, Wenwen,Shi, Dongfeng,et al. Single-pixel edge imaging with gradient Radon spectrum[J]. OPTICS COMMUNICATIONS,2023,529. |
| APA | Yang, Wei.,Meng, Wenwen.,Shi, Dongfeng.,Zha, Linbin.,Chen, Yafeng.,...&Wang, Yingjian.(2023).Single-pixel edge imaging with gradient Radon spectrum.OPTICS COMMUNICATIONS,529. |
| MLA | Yang, Wei,et al."Single-pixel edge imaging with gradient Radon spectrum".OPTICS COMMUNICATIONS 529(2023). |
| Files in This Item: | There are no files associated with this item. | |||||
Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.
Edit Comment