Review Papers | Electronics & Communication Engineering | India | Volume 6 Issue 1, January 2017
A Review on FPGA Implementation of Edge Detection Algorithms
Avinash G. Mahalle
Abstract: 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
How to Cite this Article?
Avinash G. Mahalle, "A Review on FPGA Implementation of Edge Detection Algorithms", International Journal of Science and Research (IJSR), Volume 6 Issue 1, January 2017, pp. 1104-1107, https://www.ijsr.net/get_abstract.php?paper_id=ART20164324
How to Share this Article?
Similar Articles with Keyword 'Image Processing'
Segmentation of Touching Characters in Indian Scripts
B. Hari Kumar | N. Sateesh
Electronic Toll Collection System Using ANPR
KVBL Deepthi | CH. Sandhya | CH. Samyuktha | V. Sindhu