| 利用高速收敛PSO或分解进行二维灰度熵图像分割 |
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| 引用本文： | 吴一全,张晓杰,吴诗婳,纪守新.利用高速收敛PSO或分解进行二维灰度熵图像分割[J].武汉大学学报(信息科学版),2011,36(9):1059-1063. |
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| 作者姓名： | 吴一全 张晓杰 吴诗婳 纪守新 |
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| 作者单位： | 南京航空航天大学信息科学与技术学院,南京市御道街29号,210016 |
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| 基金项目： | 国家自然科学基金资助项目(60872065) |
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| 摘 要： | 首先,定义了灰度熵并导出了相应的二维灰度熵阈值选取公式;其次,利用高速收敛PSO算法寻找二维灰度熵法的最佳阈值,并采用递推方式避免迭代过程中适应度函数的重复计算;最后,将二维灰度熵的运算转换到两个一维空间上,计算复杂度由O（L2）进一步降为O（L）。实验结果表明,与基于粒子群的二维最大Shannon熵法相比,所提出的两种方法的分割效果具有明显优势,且运行时间大幅减少。
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| 关 键 词： | 图像分割 阈值选取 二维灰度熵 高速收敛粒子群优化 分解 递推算法 |
Two-Dimensional Gray Entropy Image Thresholding Based on Particle Swarm Optimization with High Speed Convergence or Decomposition |
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| WU Yiquan ZHANG Xiaojie WU Shihua JI Shouxin.Two-Dimensional Gray Entropy Image Thresholding Based on Particle Swarm Optimization with High Speed Convergence or Decomposition[J].Geomatics and Information Science of Wuhan University,2011,36(9):1059-1063. |
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| Authors: | WU Yiquan ZHANG Xiaojie WU Shihua JI Shouxin |
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| Institution: | WU Yiquan1 ZHANG Xiaojie1 WU Shihua1 JI Shouxin1(1 College of Information Science and Technology,Nanjing University of Aeronautics and Astronautics,29 Yudao Road,Nanjing 210016,China) |
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| Abstract: | The method of threshold selection based on two-dimensional maximal Shannon entropy only depends on the probability information from gray histogram of image,and does not immediately consider the uniformity of within-cluster gray scale.Thus a two-dimensional gray entropy thresholding method based on particle swarm optimization(PSO) with high speed convergence or decomposition is proposed.Firstly,gray entropy is defined and the corresponding formulae for threshold selection based on two-dimensional gray entrop... |
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| Keywords: | image segmentation threshold selection two-dimensional gray entropy particle swarm optimization with high speed convergence decomposition recursive algorithm |
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