バイオセンサーとバイオエレクトロニクス

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

Abstract

Anis Ladgham, Fayçal Hamdaoui, Anis Sakly and Abdellatif Mtibaa

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.