Multi-Object Positioning and Imaging Based on Single-Pixel Imaging Using Binary Patterns
Single-pixel imaging (SPI) is a new type of imaging technology that uses a non-scanning single-pixel detector to image objects and has important application prospects and value in many fields. Most of the modulators currently used in SPI systems are digital micromirror device (DMD) modulators, which...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-04-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/22/9/3211 |
| _version_ | 1797502926808154112 |
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| author | Wenwen Meng Dongfeng Shi Wei Yang Linbin Zha Yuefeng Zhao Yingjian Wang |
| author_facet | Wenwen Meng Dongfeng Shi Wei Yang Linbin Zha Yuefeng Zhao Yingjian Wang |
| author_sort | Wenwen Meng |
| collection | DOAJ |
| description | Single-pixel imaging (SPI) is a new type of imaging technology that uses a non-scanning single-pixel detector to image objects and has important application prospects and value in many fields. Most of the modulators currently used in SPI systems are digital micromirror device (DMD) modulators, which use a higher frequency for binary modulation than other alternatives. When modulating grayscale information, the modulation frequency is significantly reduced. This paper conducts research on multiple discrete objects in a scene and proposes using binary patterns to locate and image these objects. Compared with the existing methods of using gray patterns to locate and image multiple objects, the method proposed in this paper is more suitable for DMD-type SPI systems and has wider applicability and greater prospects. The principle of the proposed method is introduced, and the effectiveness of the method is experimentally verified. The experimental results show that, compared to traditional SPI methods, the number of patterns required by the proposed method is reduced by more than 85%. |
| first_indexed | 2024-03-10T03:43:09Z |
| format | Article |
| id | doaj.art-91fead61f24d4a7a9296990443fcaf77 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T03:43:09Z |
| publishDate | 2022-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-91fead61f24d4a7a9296990443fcaf772023-11-23T09:15:04ZengMDPI AGSensors1424-82202022-04-01229321110.3390/s22093211Multi-Object Positioning and Imaging Based on Single-Pixel Imaging Using Binary PatternsWenwen Meng0Dongfeng Shi1Wei Yang2Linbin Zha3Yuefeng Zhao4Yingjian Wang5School of Artificial Intelligence and Big Data, Hefei University, Hefei 230601, ChinaAdvanced Laser Technology Laboratory of Anhui Province, Hefei 230037, ChinaAdvanced Laser Technology Laboratory of Anhui Province, Hefei 230037, ChinaAdvanced Laser Technology Laboratory of Anhui Province, Hefei 230037, ChinaCollaborative Innovation Center of Light Manipulations and Applications, Shandong Normal University, Jinan 250358, ChinaAdvanced Laser Technology Laboratory of Anhui Province, Hefei 230037, ChinaSingle-pixel imaging (SPI) is a new type of imaging technology that uses a non-scanning single-pixel detector to image objects and has important application prospects and value in many fields. Most of the modulators currently used in SPI systems are digital micromirror device (DMD) modulators, which use a higher frequency for binary modulation than other alternatives. When modulating grayscale information, the modulation frequency is significantly reduced. This paper conducts research on multiple discrete objects in a scene and proposes using binary patterns to locate and image these objects. Compared with the existing methods of using gray patterns to locate and image multiple objects, the method proposed in this paper is more suitable for DMD-type SPI systems and has wider applicability and greater prospects. The principle of the proposed method is introduced, and the effectiveness of the method is experimentally verified. The experimental results show that, compared to traditional SPI methods, the number of patterns required by the proposed method is reduced by more than 85%.https://www.mdpi.com/1424-8220/22/9/3211single-pixel imagingbinary modulationmulti-object positioning |
| spellingShingle | Wenwen Meng Dongfeng Shi Wei Yang Linbin Zha Yuefeng Zhao Yingjian Wang Multi-Object Positioning and Imaging Based on Single-Pixel Imaging Using Binary Patterns Sensors single-pixel imaging binary modulation multi-object positioning |
| title | Multi-Object Positioning and Imaging Based on Single-Pixel Imaging Using Binary Patterns |
| title_full | Multi-Object Positioning and Imaging Based on Single-Pixel Imaging Using Binary Patterns |
| title_fullStr | Multi-Object Positioning and Imaging Based on Single-Pixel Imaging Using Binary Patterns |
| title_full_unstemmed | Multi-Object Positioning and Imaging Based on Single-Pixel Imaging Using Binary Patterns |
| title_short | Multi-Object Positioning and Imaging Based on Single-Pixel Imaging Using Binary Patterns |
| title_sort | multi object positioning and imaging based on single pixel imaging using binary patterns |
| topic | single-pixel imaging binary modulation multi-object positioning |
| url | https://www.mdpi.com/1424-8220/22/9/3211 |
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