INFRARED TARGET EXTRACTION ALGORITHM BY USING PARTICLE SWARM OPTIMIZATION PARTICLE FILTER
采用粒子群优化粒子滤波的红外目标提取算法

A novel infrared target extraction algorithm based on particle swarm optimization particle filter(PSOPF) was proposed.The problem of infrared target extraction was analyzed and solved in the view of state estimation.In the framework of particle filter,the threshold state space on the gray-variance weighted information entropy and the gray value of each pixel was established.Particle swarm optimization was introduced to construct the state transition model.The observation model based on extraction results ev...