Title :
Multilevel maximum entropy threshold selection based on quantum particle swarm optimization
Author :
Zhao, Yong ; Hu, Yong-Biao
Author_Institution :
Key Lab. of Highway Constr. Technol. & Equip. of Minist. of Educ., Chang´´an Univ., Xi´´an, China
Abstract :
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.
Keywords :
image segmentation; maximum entropy methods; particle swarm optimisation; quantum computing; bilevel thresholding; image segmentation; maximum entropy threshold; quantum particle swarm optimization; Algorithm design and analysis; Entropy; Histograms; Image segmentation; Optimization; Particle swarm optimization; Pixel; maximum entropy; multilevel; quantum particle swarm optimization;
Conference_Titel :
Information and Financial Engineering (ICIFE), 2010 2nd IEEE International Conference on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-6927-7
DOI :
10.1109/ICIFE.2010.5609250
