Multilevel maximum entropy threshold selection based on quantum particle swarm optimization

The maximum entropy threshold has been proven as an efficient method in image segmentation for bilevel thresholding. However, this method becomes very time-consuming when extended to multilevel threshold problem. To solve the problem, a multilevel maximum entropy threshold method based on quantum particle swarm optimization is proposed. The experimental results demonstrate the success of the proposed image thresholding method, as compared with ES-Kapur method and GA-Kapur method.