Implementation of a modified Fuzzy C-Means clustering algorithm for real-time applications |
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| Affiliation: | 1. Department of Electrical Engineering, Dr. B C Roy Engineering College, Durgapur, West Bengal, India;2. Department of Electrical Engineering, Jalpaiguri Government Engineering College, Jalpaiguri-735102, West Bengal, India;3. Department of Information Technology, National Institute of Technology, Durgapur, West Bengal, India;1. The State Key Laboratory of Astronautic Dynamics, Xian 710038, China;2. Center for Radio Administration & Technology Development, Xihua University, Chengdu 610039, China;1. Kazan Federal University, Kremlevskaya st., Kazan 420008, Tatarstan, Russia;2. Kazan Energy University, Krasnoselskaya str., 51, Kazan 420066, Tatarstan, Russia;1. Sustainable Agro-ecosystems and Bioresources Department, Research and Innovation Centre, Fondazione Edmund Mach, Via Mach 1, 38010 San Michele all''Adige (TN), Italy;2. Department of Agricultural Sciences, University of Bologna, Viale Fanin 46, Bologna, Italy;3. Department of Chemical and Life Sciences, Waterford Institute of Technology, Cork Road, Waterford, Ireland;4. European Commission, Joint Research Centre, Institute for Environment and Sustainability, Via E. Fermi 2749, 21027 Ispra, Italy;5. Forest Services, Autonomous Province of Bolzano, Via Brennero 6, 39100 Bolzano, Italy;6. Faculty of Science and Technology, Free University of Bolzano, Piazza Università 5, 39100 Bolzano, Italy;7. FOXLAB, Research and Innovation Centre, Fondazione Edmund Mach, Via Mach 1, 38010 San Michele all''Adige (TN), Italy |
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| Abstract: | Every month new applications of fuzzy logic to image processing appear. The lightly tight nature of fuzzy algorithms simulates human vision and thus, the field of applications widens. This paper implements in hardware a very popular fuzzy algorithm, the Fuzzy C-Means algorithm. The version of the algorithm allows a high degree of parallelism, which makes the hardware implementation suited for real-time video applications. |
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