Real time implementation of medical images segmentation based on PSO

Segmentation is an important technique that is applied to prepare image for detection, classification and recognition steps. To successfully achieve these steps, we have to successfully realize the segmentation step. Therefore, several approaches have been developed yet. One of these algorithms is based on the technique of Particle Swarm Optimization (PSO). It has been widely applied in the literature. This paper deals with hardware implementation of PSO algorithm for medical images segmentation using Xilinx System Generator (XSG). The use of the visual development process models of Simulink facilitates the RTL level simulation and validation such as the synthesis of VHDL code. Also, all legacy codes written in Matlab can be used again in custom blocks. The performances of the proposed method are demonstrated using a set of medical images.