Maximum entropy image segmentationis based on improved QPSO algorithm

Image segmentation techniques have great significance in image analysis and recognition, maximum entropy algorithm also has very wide range of applications in image segmentation. In this paper, it is analyzed with the traditional maximum entropy thresholding algorithm, and combined with quantum behavior of particle swarm optimization (QPSO) algorithm, and a new image segmentation algorithm was proposed. This method is the use of maximum entropy image segmentations based on improved (QPSO) algorithm do global search, and make the maximum entropy to be the threshold to for image segmentation. The simulation results show that this method is easy to implement, fast convergence, and have good segmentation.