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基于云模糊理论的图像纹理分割

王佐成 李永树 薛丽霞 汪林林

王佐成, 李永树, 薛丽霞, 汪林林. 基于云模糊理论的图像纹理分割[J]. 西南交通大学学报, 2007, 20(5): 548-552.
引用本文: 王佐成, 李永树, 薛丽霞, 汪林林. 基于云模糊理论的图像纹理分割[J]. 西南交通大学学报, 2007, 20(5): 548-552.
WANG Zuocheng, LI Yongshu, XUE Lixia, Wang Linlin. Image Texture Segmentation Based on Cloud Fuzzy Theory[J]. Journal of Southwest Jiaotong University, 2007, 20(5): 548-552.
Citation: WANG Zuocheng, LI Yongshu, XUE Lixia, Wang Linlin. Image Texture Segmentation Based on Cloud Fuzzy Theory[J]. Journal of Southwest Jiaotong University, 2007, 20(5): 548-552.

基于云模糊理论的图像纹理分割

基金项目: 

重庆市教育委员会科学技术研究项目资助(KJ060511)

详细信息
    作者简介:

    王佐成(1973- ),男,副教授,博士,研究方向为空间数据库、空间数据挖掘和数字图像处理,电话:023-62487647,E-mail:cswangzc@163.com

Image Texture Segmentation Based on Cloud Fuzzy Theory

  • 摘要: 为了处理图像纹理的模糊性和随机性,基于云模糊理论提出了纹理特征矢量云模型,并成功地应用于纹理图像分割.该方法在对纹理统计描述符模糊化处理后,逆向生成纹理特征矢量云.矢量云模型的数字特征能够很好地表达纹理的模糊性和随机性,据此通过云距离计算及纹理特征矢量云生长,完成对图像纹理的分割.实验结果表明,该方法较经典的ISODATA算法和K-means簇算法的分割精度高,并且迭代收敛速度快.

     

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出版历程
  • 收稿日期:  2006-09-06
  • 刊出日期:  2007-10-25

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