Title: Hardware implementation of Gabor filter for MRI using XSG

Authors: Anis Ladgham; Anis Sakly; Abdellatif Mtibaa

Addresses: Electronics and Microelectronics Laboratory, Faculty of Sciences of Monastir, University of Monastir, Monastir, Tunisia; Department of Electrical Engineering, National Engineering School of Monastir, University of Monastir, Monastir, Tunisia ' Department of Electrical Engineering, National Engineering School of Monastir, University of Monastir, Monastir, Tunisia; Research Unit: Industrial Systems Study and Renewable Energy (ESIER), National Engineering School of Monastir (ENIM), University of Monastir, Monastir, Tunisia ' Electronics and Microelectronics Laboratory, Faculty of Sciences of Monastir, University of Monastir, Monastir, Tunisia; Department of Electrical Engineering, National Engineering School of Monastir, University of Monastir, Monastir, Tunisia

Abstract: Feature extraction from images is an important stage for a recognition system. In this paper, we propose hardware architecture for the extraction of textural features from Magnetic Resonance Imaging (MRI) based on Gabor filter. The strength of Gabor filters in image processing is the similarity of their frequency and orientation representations to those of the human visual system. They are appropriate for texture representation and discrimination. The present architecture is developed using the Xilinx System Generator (XSG) and is implemented on Virtex-V Field Programmable Gate Array (FPGA). The implementation of our method on FPGA gives it the advantages of portability and real time extraction. The performances of the proposed method are demonstrated using a set of medical images.

Keywords: Gabor filters; feature extraction; MRI scans; magnetic resonance imaging; XSG; Xilinx system generator; FPGA; field programmable gate arrays; hardware implementation; textural features; image processing; medical images.

DOI: 10.1504/IJSISE.2016.078267

International Journal of Signal and Imaging Systems Engineering, 2016 Vol.9 No.4/5, pp.262 - 267

Received: 23 May 2015
Accepted: 10 Mar 2016
Published online: 10 Aug 2016 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article