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

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.

FPGA implementation of particle swarm optimization based on new fitness function for MRI images segmentation

“…With the development of FPGA, portable device for practical application appeared be possible to be developed and realized. Instead, FPGAs processors utilize instruction‐level parallelism that allows the execution of multiple instructions simultaneously (Ladgham et al, ) and advocates the implementation of the PSO algorithm. Indeed, the update of both the best position each particle attained pbest and the best position attained by any particle in the swarm gbest are pipelined.…”