Reconfigurable Morphological Processor for Grayscale Image Processing
Grayscale morphology is a powerful tool in image, video, and visual applications. A reconfigurable processor is proposed for grayscale image morphological processing. The architecture of the processor is a combination of a reconfigurable grayscale processing module (RGPM) and peripheral circuits. Th...
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| Veröffentlicht in: | Electronics (Basel) Jg. 10; H. 19; S. 2429 |
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| Format: | Journal Article |
| Sprache: | Englisch |
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01.10.2021
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| ISSN: | 2079-9292, 2079-9292 |
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| Abstract | Grayscale morphology is a powerful tool in image, video, and visual applications. A reconfigurable processor is proposed for grayscale image morphological processing. The architecture of the processor is a combination of a reconfigurable grayscale processing module (RGPM) and peripheral circuits. The RGPM, which consists of four grayscale computing units, conducts grayscale morphological operations and implements related algorithms of more than 100 f/s for a 1024 × 1024 image. The periphery circuits control the entire image processing and dynamic reconfiguration process. Synthesis results show that the proposed processor can provide 43.12 GOPS and achieve 8.87 GOPS/mm2 at a 220-MHz system clock. The simulation and experimental results show that the processor is suitable for high-performance embedded systems. |
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| AbstractList | Grayscale morphology is a powerful tool in image, video, and visual applications. A reconfigurable processor is proposed for grayscale image morphological processing. The architecture of the processor is a combination of a reconfigurable grayscale processing module (RGPM) and peripheral circuits. The RGPM, which consists of four grayscale computing units, conducts grayscale morphological operations and implements related algorithms of more than 100 f/s for a 1024 × 1024 image. The periphery circuits control the entire image processing and dynamic reconfiguration process. Synthesis results show that the proposed processor can provide 43.12 GOPS and achieve 8.87 GOPS/mm2 at a 220-MHz system clock. The simulation and experimental results show that the processor is suitable for high-performance embedded systems. |
| Author | Zhang, Bin |
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| Cites_doi | 10.1109/JSSC.2008.923621 10.1007/s11265-008-0311-6 10.1109/JSTSP.2012.2204857 10.1109/TCSI.2011.2131370 10.1109/ISSCC42613.2021.9365996 10.1109/JSSC.2021.3066400 10.1109/TPDS.2017.2783929 10.1109/TPDS.2020.2974744 10.1109/ISSCC42613.2021.9365928 10.1049/iet-ipr.2013.0224 10.1007/s11554-011-0226-5 10.1023/A:1007996916499 10.1007/s11554-012-0248-7 10.1109/JSSC.2021.3061508 10.1109/ISSCC42613.2021.9366062 10.1109/ACCESS.2020.2965745 10.1109/4.839913 10.1109/JSSC.2020.3030264 10.1109/JSTARS.2020.3003053 10.1007/s11554-010-0171-8 10.1109/TVLSI.2016.2622404 10.1109/ISSCC42613.2021.9365932 10.1109/SETIT.2012.6481952 10.1109/TPAMI.2013.106 10.1109/icbbe.2011.5780369 10.1109/ISCAIE.2015.7298356 10.1109/JSSC.2021.3066572 10.1109/ACCTHPA49271.2020.9213191 10.1109/TVLSI.2018.2858014 10.1109/JSTARS.2019.2955986 10.1109/TCSVT.2005.852622 |
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| SubjectTerms | Algorithms Circuits Critical path Design Embedded systems Flexibility Gray scale Image processing Literature reviews Microprocessors Morphology Reconfiguration |
| Title | Reconfigurable Morphological Processor for Grayscale Image Processing |
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