Brain Inspired Color Feature Selection Chip
Inspired by the mechanism of visual attentional selection, a color feature selection unit consisting of photoreceptors and an attentional selection circuit (ASC) is presented. The detection and wavelength recognition of trichromatic light are accomplished by the photoreceptors with RGB filters. The...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2022-01-01
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| Series: | IEEE Photonics Journal |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9887858/ |
| _version_ | 1817983727936995328 |
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| author | Sheng Xie Lihua Wang Xurui Mao Jia Cong Yuhao Zhao Hongda Chen |
| author_facet | Sheng Xie Lihua Wang Xurui Mao Jia Cong Yuhao Zhao Hongda Chen |
| author_sort | Sheng Xie |
| collection | DOAJ |
| description | Inspired by the mechanism of visual attentional selection, a color feature selection unit consisting of photoreceptors and an attentional selection circuit (ASC) is presented. The detection and wavelength recognition of trichromatic light are accomplished by the photoreceptors with RGB filters. The ASC, fabricated in a standard CMOS technology, activates the competition among photoreceptors to select the principal color-component feature defined as the attentional focus. The number of focuses and resolution can be changed with a top-down stimulus. Electrical test results show that the ASC can select and interpret the most important color-component feature. In optical tests, the ASC chip-based unit can extract the principal color-component of single-color and dual-color light in real-time to complete color recognition. The percentage ratio between the intensity of stray light relative to the light with maximum intensity is up to 93.58%. And the maximum achievable recognition frame rate is 1 kHz, which is more than one order of magnitude higher than the frequency of the biological vision systems. Besides, the unit's outputs can be transformed into binary codes as labels for color recognition, and the color recognition process does not require the participation of ADC, CPU, and memory, consequently avoiding the von Neumann bottleneck. |
| first_indexed | 2024-04-13T23:36:46Z |
| format | Article |
| id | doaj.art-0bd7c8e71dfa4d1098c064cc412e7d40 |
| institution | Directory Open Access Journal |
| issn | 1943-0655 |
| language | English |
| last_indexed | 2024-04-13T23:36:46Z |
| publishDate | 2022-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Photonics Journal |
| spelling | doaj.art-0bd7c8e71dfa4d1098c064cc412e7d402022-12-22T02:24:42ZengIEEEIEEE Photonics Journal1943-06552022-01-011451910.1109/JPHOT.2022.32055859887858Brain Inspired Color Feature Selection ChipSheng Xie0Lihua Wang1Xurui Mao2https://orcid.org/0000-0002-5261-8369Jia Cong3https://orcid.org/0000-0003-3526-499XYuhao Zhao4Hongda Chen5Tianjin Key Laboratory of Imaging and Sensing, School of Microelectronics, Tianjin University, Tianjin, ChinaTianjin Key Laboratory of Imaging and Sensing, School of Microelectronics, Tianjin University, Tianjin, ChinaState Key Laboratory on Integrated Optoelectronics, Institute of Semiconductors, Chinese Academy of Sciences, Beijing, ChinaSchool of Computer and Information Engineering, Tianjin Chengjian University, Tianjin, ChinaTianjin Key Laboratory of Imaging and Sensing, School of Microelectronics, Tianjin University, Tianjin, ChinaState Key Laboratory on Integrated Optoelectronics, Institute of Semiconductors, Chinese Academy of Sciences, Beijing, ChinaInspired by the mechanism of visual attentional selection, a color feature selection unit consisting of photoreceptors and an attentional selection circuit (ASC) is presented. The detection and wavelength recognition of trichromatic light are accomplished by the photoreceptors with RGB filters. The ASC, fabricated in a standard CMOS technology, activates the competition among photoreceptors to select the principal color-component feature defined as the attentional focus. The number of focuses and resolution can be changed with a top-down stimulus. Electrical test results show that the ASC can select and interpret the most important color-component feature. In optical tests, the ASC chip-based unit can extract the principal color-component of single-color and dual-color light in real-time to complete color recognition. The percentage ratio between the intensity of stray light relative to the light with maximum intensity is up to 93.58%. And the maximum achievable recognition frame rate is 1 kHz, which is more than one order of magnitude higher than the frequency of the biological vision systems. Besides, the unit's outputs can be transformed into binary codes as labels for color recognition, and the color recognition process does not require the participation of ADC, CPU, and memory, consequently avoiding the von Neumann bottleneck.https://ieeexplore.ieee.org/document/9887858/Attentional selectioncolor feature selectioncolor recognitionstandard CMOS technology |
| spellingShingle | Sheng Xie Lihua Wang Xurui Mao Jia Cong Yuhao Zhao Hongda Chen Brain Inspired Color Feature Selection Chip IEEE Photonics Journal Attentional selection color feature selection color recognition standard CMOS technology |
| title | Brain Inspired Color Feature Selection Chip |
| title_full | Brain Inspired Color Feature Selection Chip |
| title_fullStr | Brain Inspired Color Feature Selection Chip |
| title_full_unstemmed | Brain Inspired Color Feature Selection Chip |
| title_short | Brain Inspired Color Feature Selection Chip |
| title_sort | brain inspired color feature selection chip |
| topic | Attentional selection color feature selection color recognition standard CMOS technology |
| url | https://ieeexplore.ieee.org/document/9887858/ |
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