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一种新的图像空间特征提取方法 被引量：7

Novel Approach for Image Spatial Feature Extraction
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摘要 提出一种新的图像空间特征提取方法,采用基于颜色向量角和Euclid距离的CCVAE算法,检测原始图像的彩色边缘,分别对边缘像素、非边缘像素建立边缘直方图描述子和空间颜色直方图,描述颜色分布信息。仿真实验结果表明,该方法具有较高的准确率和召回率。 This paper proposes a novel approach for image spatial feature extraction. It uses CCVAE algorithm based on color vector angle and Euclid distance to detect original image color edge. For the edge pixels, the Edge Histogram Descriptor（EHD） is built. For the non-edge pixels, the Spatial Chromatic Histogram（SCH） is built. Experimental results show that the approach has high precision rate and recall rate.
作者 史婷婷 刘卫华 伍春晖
机构地区 仲恺农业工程学院计算机科学与工程学院 广东司法警官职业学院办公室网络中心 广东金融学院计算机科学与技术系
出处 《计算机工程》 CAS CSCD 2012年第3期218-220,共3页 Computer Engineering
基金 仲恺农业工程学院校级科研基金资助项目"基于语义的图像检索关键技术研究"(G3081807)
关键词 空间特征 彩色图像边缘检测 空间颜色直方图 颜色向量角 spatial feature color image edge detection Spatial Chromatic Histogram（SCH） color vector angle
分类号 TP391 [自动化与计算机技术—计算机应用技术]
  • 相关文献

参考文献10

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二级参考文献33

  • 1邢强,袁保宗,唐晓芳.一种基于加权色彩直方图的快速图像检索方法[J].计算机研究与发展,2005,42(11):1903-1910. 被引量：12
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共引文献18

同被引文献60

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引证文献7

二级引证文献11

计算机工程
2012年 第3期

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