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基于模糊及分块主纹理谱的图像聚类 被引量:2

Image clustering based on fuzzy and dominant texture spectrum of partition
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摘要 基于主颜色方法提出分块主纹理谱的概念,在每个分块中自动生成阈值来过滤噪声.从模糊逻辑的角度出发提出一种新的纹理谱描述符,结合区域灰度平均值,构造隶属函数来计算纹理单元值.实验证明,所提出的方法在图像聚类方面达到较好的聚类效果. Based on the dominant color method, this paper presents a concept of dominant texture spectrum of partition. It generates threshold automatically to filter noise in each sub block. From the perspective of fuzzy logic, a new texture spectrum descriptor is presented. It integrates the average of gray scales in areas, and constructs memberships function to calculate the value of texture units. Ex perimental results show the methods keep high clustering precision.
作者 陈刚 陈晓云
出处 《福州大学学报(自然科学版)》 CAS CSCD 北大核心 2012年第5期591-596,共6页 Journal of Fuzhou University(Natural Science Edition)
关键词 图像聚类 中心对称局部二值模式 模糊 描述子 主纹理谱 image clustering CS - LBP fuzzy descriptor dominant texture spectrum
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参考文献9

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二级参考文献37

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共引文献54

同被引文献13

  • 1木拉提.哈米提,刘伟,童勤业.纹理谱直方图与潜在语义标引在图像检索中的应用[J].科技通报,2006,22(3):389-394. 被引量:10
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  • 6陈刚,陈晓云.一种具有旋转鲁棒性的纹理谱描述子[J].中国图象图形学报,2012(7):98-104.
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