| 融合多特征和谱聚类集成的图像分割方法 |
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| 作者单位： | ;1.信阳师范学院计算机与信息技术学院;2.信阳师范学院网络信息与计算中心 |
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| 摘 要： | 针对图像单一特征分割结果的适应局限性,提出融合多特征和谱聚类集成的图像分割方法(MFSC-IS).首先对图像进行基于粒计算的多特征子分割;然后将分割结果映射到超图,利用谱聚类集成算法得到最终分割结果.实验结果表明,与Gpb(Globalized probability of boundary)算法相比,融合多特征和谱聚类集成方法可以得到一个相对较好的分割结果.
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| 关 键 词： | 图像分割 特征选择 多特征融合 谱聚类集成 |
Image Segmentation Method Based on Fusion of Multiple Features and Spectral Clustering |
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| Institution: | ,College of Computer and Information Technology,Xinyang Normal University,Network Information and Computing Center,Xinyang Normal University |
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| Abstract: | In order to overcome the limitation of single image feature segmentation,an image segmentation method based on the fusion of multiple features and spectral clustering was proposed.Firstly,the image was segmented by multi-feature based on the granular computing,and then the result was mapped to the hypergraph.Finally,the final segmentation result was obtained by using the spectral clustering algorithm.The experiment results indicated that the proposed method can obtain a relative better segmentation results compared with the Gpb(Globalized probability of boundary)algorithm. |
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| Keywords: | color image segmentation feature selection multiple features fusion spectral cluster ensemble |
| 本文献已被 CNKI 等数据库收录！ |
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