Implementation of Mainly Used Edge Detection Algorithms on FPGA

Year 2016, Special Issue (2016), 352 - 358, 01.12.2016

Yaser İçer Mustafa Türk

https://doi.org/10.18100/ijamec.280333

Cited By: 2

Abstract

Edge
detection has important applications area in image processing field. Today, it
is a fact that the image processing used in many fields. Therefore, the
applicability of edge detection process in the field is also has great
importance. In this study, mainly used edge detection algorithms in the
literature; İe. Sobel, Prewitt and Canny algorithms is provided using the
verification and inspection on FPGA (Field Programmable Gate Arrays). Program
files required for FPGA is prepared by Xilinx System Generator DSP blocks, which
can work integrated with Matlab/Simulink. For this study; gray format images,
which is stored on the computer has been sent to FPGA with USB configuration
port interface on FPGA. Edge detection process is realized by moving subject
images from the computer with the same connection to FPGA and then, Sobel,
Prewitt and Canny algorihms are applied to the images on FPGA respectively.
Edge detection process for the same images are performed by Simulink and FPGA
bord at the same time and then, edge detected images obtained from these two
environment are compared and also it has been observed on the FPGA resource
usage.

Keywords

FPGA (Field Programmable Gate Arrays), Sobel, Prewitt, Canny, Matlab/Simulink and Xilinx System Generator, DSP

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