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Technical University of Crete
Technical University of Crete
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| URI | http://purl.tuc.gr/dl/dias/C7E3F987-584F-479E-B445-F0619C559B14 | - |
| Identifier | https://doi.org/10.1109/BIBE52308.2021.9635351 | - |
| Identifier | https://ieeexplore.ieee.org/document/9635351 | - |
| Language | en | - |
| Extent | 6 pages | en |
| Title | An FPGA-based system for video processing to detect holes in aquaculture nets | en |
| Creator | Zacheilas Theofilos | en |
| Creator | Ζαχειλας Θεοφιλος | el |
| Creator | Moirogiorgou Konstantia | en |
| Creator | Μοιρογιωργου Κωνσταντια | el |
| Creator | Sotiriadis Evripidis | en |
| Creator | Σωτηριαδης Ευριπιδης | el |
| Creator | Papandroulakis Nikos | en |
| Creator | Zervakis Michail | en |
| Creator | Ζερβακης Μιχαηλ | el |
| Creator | Dollas Apostolos | en |
| Creator | Δολλας Αποστολος | el |
| Publisher | Institute of Electrical and Electronics Engineers | en |
| Content Summary | Aquaculture faces the issue of net integrity on cage farming. Holes on the net need to be detected but as yet the process is not fully automated. This work is a second-generation embedded system to detect in real time holes in aquaculture nets from a video input. It extends previous results by processing video rather than still images, under lighting variation, haze, and different size of holes along each frame. The modeling and simulation of the new algorithm has been done in MATLAB; the system has been designed and implemented on a Field Programmable Gate Array (FPGA) - based platform. The proposed system has substantially better performance vs. software at a much lower energy consumption. | en |
| Type of Item | Πλήρης Δημοσίευση σε Συνέδριο | el |
| Type of Item | Conference Full Paper | en |
| License | http://creativecommons.org/licenses/by/4.0/ | en |
| Date of Item | 2023-05-12 | - |
| Date of Publication | 2021 | - |
| Subject | Aquaculture cage nets | en |
| Subject | Hole detection | en |
| Subject | Embedded system | en |
| Subject | FPGA | en |
| Subject | Guided filter | en |
| Subject | Haze removal | en |
| Subject | Edge detection | en |
| Subject | Connected component labeling | en |
| Subject | Morphological operations | en |
| Subject | MATLAB | en |
| Bibliographic Citation | T. Zacheilas, K. Moirogiorgou, N. Papandroulakis, E. Sotiriades, M. Zervakis and A. Dollas, "An FPGA-based system for video processing to detect holes in aquaculture nets," presented at the 2021 IEEE 21st International Conference on Bioinformatics and Bioengineering (BIBE), Kragujevac, Serbia, 2021, doi: 10.1109/BIBE52308.2021.9635351. | en |
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