Abstract
Otsu threshold segmentation is one of the most representative methods for image segmentation. Compared with multilevel threshold segmentation, Otsu method is computationally complex and time-consuming. In this paper, a multilevel thresholding algorithm based on the Quantum Particle Swarm Optimisation QPSO is proposed. QPSO combines the classical PSO algorithm with quantum theory. Because of the high effectiveness of QPSO optimisation algorithm, the paper combines this algorithm with Otsu and uses them in multilevel threshold image segmentation. Experiments show that the algorithm can not only realise the image multilevel threshold segmentation, but also make the segmentation more efficient.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Wireless and Mobile Computing
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
