Otsu multilevel thresholding segmentation based on quantum particle swarm optimisation algorithm

被引：0
|
作者：
Cao L.-L. [1 ]
Ding S. [1 ]
Fu X.-W. [1 ]
Chen L. [1 ]
机构：
[1] College of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan, Hubei
来源：
Cao, Lian-Lian (callxiaoxiao@gmail.com) | 1600年 / Inderscience Enterprises Ltd., 29, route de Pre-Bois, Case Postale 856, CH-1215 Geneva 15, CH-1215, Switzerland卷 / 10期
基金：
中国国家自然科学基金;
关键词：
Multilevel threshold segmentation; Otsu algorithm; QPSO; Quantum particle swarm optimisation;
D O I：
10.1504/IJWMC.2016.077215
中图分类号：
学科分类号：
摘要：
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. © 2016 Inderscience Enterprises Ltd.
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收藏
页码：272 / 277
页数：5
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