| 基于并行小生境技术优化的智能模糊聚类图像分割算法 |
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| 引用本文： | 刘云龙.基于并行小生境技术优化的智能模糊聚类图像分割算法[J].光电子．激光,2010(4):618-622. |
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| 作者姓名： | 刘云龙 |
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| 作者单位： | 中国科学院光电研究院;中国科学院研究生院; |
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| 摘 要： | 利用PBM模糊聚类有效性函数以图像特征空间为搜索空间,实现有效性函数的全局寻优,用并行小生境技术解决粒子群(PSO)算法的早收敛问题,优化聚类的全局收敛性能,实现有效聚类数目与聚类中心的并行寻优。通过对遥感图像分割的实验证明,与传统粒子优化群算法的分割结果相比,本文算法拥有更高的有效性且分割效果更优。
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| 关 键 词： | 图像分割 PBM(Pakhiya-Bandyopahyay-Maulik)有效性指数 模糊聚类 小生境技术 |
An intelligence fuzzy clustering image segmentation algorithm based on parallel niching technique |
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| LIU Yun-long.An intelligence fuzzy clustering image segmentation algorithm based on parallel niching technique[J].Journal of Optoelectronics·laser,2010(4):618-622. |
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| Authors: | LIU Yun-long |
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| Affiliation: | LIU Yun-long1,2,LIN Bao-jun1(1.Academy of Opto-electronics of Chinese Academy of Sciences,Beijing 10080,China,2.Graduate University of Chinese Academy of Sciences,Beijing 100049,China) |
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| Abstract: | An image segmentation algorithm is proposed by utilizing fuzzy clustering which is based on the PBM validity index.The algorithm makes use of swarm intelligent algorithm for searching optimal validity index in image feature space.The parallel niching technique is used for solving the premature convergence of the original swarm optimization algorithm,and optimizing the clustering global convergence.The optimization of both clustering number and clustering centroids is realized.The simulation for remote sensi... |
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| Keywords: | image segmentation PBM(Pakhiya-Bandyopahyay-Maulik) validity index fuzzy clustering niching technique |
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