Abstract: A Review on FPGA Implementation of Edge Detection Algorithms
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Open Access | Fully Refereed | Peer Reviewed

ISSN: 2319-7064

Downloads: 135

Review Papers | Electronics & Communication Engineering | India | Volume 6 Issue 1, January 2017

A Review on FPGA Implementation of Edge Detection Algorithms

Avinash G. Mahalle

Edge detection is a fundamental tool in the field of image processing. Edge indicates sudden change in the intensity level of image pixels. By detecting edges in the image, one can preserve its features and eliminate useless information. In the recent years, especially in the field of Computer Vision, edge detection has been emerged out as a key technique for image processing. There are various gradient based edge detection algorithms such as Robert, Prewitt, Sobel, Canny which can be used for this purpose. This paper reviews all these gradient based edge detection techniques and provides comparative analysis. MATLAB/Simulink is used as a simulation tool. System is designed by configuring ISE Design suit with MATLAB. Hardware Description Language (HDL) is generated using Xilinx System Generator. HDL code is synthesized and implemented using Field Programmable Gate Array (FPGA).

Keywords: Image Processing, Edge Detection, MATLAB/Simulink, Xilinx System Generator XSG, Field Programmable Gate Array FPGA

Edition: Volume 6 Issue 1, January 2017

Pages: 1104 - 1107

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How to Cite this Article?

Avinash G. Mahalle, "A Review on FPGA Implementation of Edge Detection Algorithms", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=ART20164324, Volume 6 Issue 1, January 2017, 1104 - 1107

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