ISSN 1004-4140
CN 11-3017/P
Volume 18 Issue 1
Mar.  2009
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HU Liang, DONG Fang, LI Bo-lin, LI Ming, CHEN Hao, WANG Yuan, ZHANG Cheng-xin, XU Zhou. Fast Image Segmentation Based on Chaotic Particle Swarm and Two-Dimension Otsu Method[J]. CT Theory and Applications, 2009, 18(1): 29-34.
Citation: HU Liang, DONG Fang, LI Bo-lin, LI Ming, CHEN Hao, WANG Yuan, ZHANG Cheng-xin, XU Zhou. Fast Image Segmentation Based on Chaotic Particle Swarm and Two-Dimension Otsu Method[J]. CT Theory and Applications, 2009, 18(1): 29-34.
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Fast Image Segmentation Based on Chaotic Particle Swarm and Two-Dimension Otsu Method

  • 1. School of Mechanical Engineering, Southwest Jiaotong University, Chengdu, 610031, China;

  • 2. Institute of Applied Electrinics AEP, Mianyang 621900, China

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  • Received Date: September 15, 2008
  • Available Online: December 14, 2022
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    • Abstract
  • The computation burden of finding optimal threshold vector was very large for 2-D Otsu method,and the PSO algorithm can easily lead to local optimal issues,In order to solve these problems,a feature image segmentation was presented based on the CPSO algorithm and 2-D Otsu image segmentation method.CPSO algorithm was used to realize the rapid global optimization and search for the optimal threshold value of two-dimensional vector.Simulation results show that the proposed algorithm has good results to image which is similar to the core and a strong real-time processing capability.
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