Hardware Implementation of Image Edge Detection Using Xilinx System Generator

Research Article
Hardware Implementation of Image Edge Detection Using Xilinx System Generator

Asian Journal of Scientific Research, 2014, 7(2), 188-198.

Abstract

Image edge detection plays a vital role in computer vision and image processing. Edges are most important properties of an image which are mainly used in image analysis and processing. Hardware implementation of image edge detection is essential for real time applications and it is used to increase the speed of operation. Field Programmable Gate Array (FPGA) plays a vital role in hardware implementation of image processing application because of its re-programmability and parallelism. The Simplified Gabor Wavelet (SGW) based edge detection provides better result than other conventional edge detection methods. The proposed work of this paper is FPGA implementation for this Simplified Gabor Wavelet based image edge detection approach. The proposed hardware implementation of Simplified Gabor Wavelet based method is done using Xilinx System Generator (XSG) tool. The hardware implementation result of Simplified Gabor Wavelet based edge detection method is compared with all other methods and proves that the proposed method is optimal for image edge detection. This architecture is implemented on Virtex 5 Field Programmable Gate Array platform.

ASCI-ID: 8-306

Cited References Fulltext

Cited By

Computational Modeling and Simulation Examples in Bioengineering

Computational Modeling and Simulation Examples in Bioengineering, 2021, (), 323. DOI: 10.1002/9781119563983.ch9