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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Hybrid Implementation of Evolutionary Algorithms in FPGAs for Automatic Generation of Morphological Image Filters

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Author(s):
Padua, Bruno [1] ; Lima, Denis [1] ; Fernandes, Marcio [1] ; Abuassal, Ali [2] ; Tempesti, Gianluca [2] ; Pedrino, Emerson [1, 2]
Total Authors: 6
Affiliation:
[1] Univ Fed Sao Carlos, Dept Comp Sci, Sao Carlos, SP - Brazil
[2] Univ York, Dept Elect Engn, York, N Yorkshire - England
Total Affiliations: 2
Document type: Journal article
Source: PRZEGLAD ELEKTROTECHNICZNY; v. 96, n. 4, p. 12-16, 2020.
Web of Science Citations: 0
Abstract

This paper proposes a novel hybrid software/hardware system to automatically create filters for image processing based on genetic algorithms and mathematical morphology. Experimental results show that the hybrid system, implemented using a combination of a NIOS-II processor and a custom hardware accelerator in an Altera FPGA device, is able to generate solutions that are equivalent to the software version in terms of quality in approximately one third of the time. (AU)

FAPESP's process: 17/26421-3 - Investigation of the use of Intelligent Systems for Efficient Mapping of Applications in Many-Core Architectures
Grantee:Emerson Carlos Pedrino
Support Opportunities: Scholarships abroad - Research