Image segmentation is a basic technique for advanced image analysis. In this paper a new imagesegmentation algorithm based on combining particle swarm optimization PSO and rough set is proposed.The algorithm adopts mean roughness measure as evaluation standard, this measure depends onminimization of roughness in both object and background regions; by determining the optimal threshold ofpartitioning. In this algorithm, threshold estimation is regarded as a search procedure that searches for anoptimal value in a continuous gray-scale interval. The results of the PSO based proposed algorithm arecompared with Bat-Inspired algorithm under mean roughness measure as the fitness function andsimulations show that the PSO seems much superior than Bat algorithm.
展开▼
