Please use this identifier to cite or link to this item: http://10.1.7.192:80/jspui/handle/123456789/7328
Title: Implementation of Edge Detection Algorithm on FPGA using Hardware Software Co-Simulation
Authors: Fataniya, Bhupendra
Mecwan, Akash
Shah, Dhaval
Keywords: Edge Detection
FPGA
Hardware Software Co–Simulation
EC Faculty Paper
Faculty Paper
ITFEC030
ITFEC025
ITFEC019
Issue Date: 2016
Publisher: STM Journals
Series/Report no.: ITFEC030-7;
Abstract: Image processing is one of the most booming research areas in modern days. Every modern device incorporates image processing in one or the other way. Most of the image processing algorithms start with basic edge detection. The performance of the edge detection can be improved using state of art FPGA devices. Implementation using field programmable gate arrays (FPGA) speeds up the processing of edge detection algorithms. The paper discusses the implementation of edge detection algorithm on Virtex 5 series of FPGA. The design is implemented in Xilinx System Generator using MATLAB and the simulation is performed using Hardware Software Cosimulation. The output of implementation is observed in MATLAB environment. The algorithm is tested for file as well as real time images.
Description: Journal of VLSI Design Tools & Technology, Vol. 6 (1), 2016, Page No. 55 - 61
URI: http://hdl.handle.net/123456789/7328
ISSN: 2249-474X (Online)
2321-6492 (Print)
Appears in Collections:Faculty Papers, EC

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