alexa Real Time Implementation of Detection of Bacteria in Mi
ISSN: 2155-6210

Journal of Biosensors & Bioelectronics
Open Access

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Research Article

Real Time Implementation of Detection of Bacteria in Microscopic Images Using System Generator

Anis Ladgham1, Fayçal Hamdaoui1*, Anis Sakly2 and Abdellatif Mtibaa1,2

1Laboratory EμE, Faculty of Sciences of Monastir, University of Monastir, Tunisia

2Department of Electrical Engineering, National Engineering School of Monastir, University of Monastir, Tunisia

*Corresponding Author:
Fayçal Hamdaoui
Laboratory EμE
Faculty of Sciences of Monastir
University of Monastir, Tunisia
E-mail: [email protected]

Received Date: September 07, 2012; Accepted Date: October 23, 2012; Published Date: October 26, 2012

Citation: Ladgham A, Hamdaoui F, Sakly A, Mtibaa A (2012) Real Time Implementation of Detection of Bacteria in Microscopic Images Using System Generator. J Biosens Bioelectron 3:127. doi: 10.4172/2155-6210.1000127

Copyright: © 2012 Ladgham, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

 

Abstract

This paper outlines efficient hardware architecture of detection of bacteria and alga in microscopic images, using Xilinx System Generator (XSG). XSG is a high-level design tool based on blocks. It gives bit and cycle accurate simulation. The approach of detection used is the Hough transform. The latter is a very efficient approach of location of parametric curves in an image, especially lines. System was implemented on Virtex-V FPGA. To demonstrate the quality of the system, some experiments on microscopic images are given.

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