Multilevel thresholding methods for image segmentation with Otsu based on QPSO

摘要

Image segmentation is the key step from image processing to image analysis. Ostu thresholding, which features a good performance, is one of the main image threshold segmentation methods. Like other threshold methods, the application of the Otsu has been restricted for the long-paying computation. In order to overcome the disadvantages and get better results, a new method based on quantum particle swarm optimization (QPSO) algorithm is proposed in this paper. The image by use of the thresholds can be segmented. Simulation result has demonstrated that the QPSO not only realizes the image segmentation applicable, but also well.