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Spatial connected component pre-locating algorithm for rapid logo detection

机译:用于快速徽标检测的空间连接组件预定位算法

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This paper introduces a novel pre-locating algorithm for rapid logo detection in unconstrained color images. This work is distinguished by two major contributions. The first is a new method of representation for logo called “spatial connected component descriptor” (SCCD) containing connected component (CC) prediction model and effective-CC pixel distribution histogram. The former represents combinations between CCs based on color and spatial relationships of CCs. While the latter describes the pixel distribution information of effective CCs. The two parts capture the layout of logos from different points. The second is a logo pre-locating algorithm by the means of SCCD to search for logo prediction regions in test images, on which some content-based features are used for logo matching. Experimental results illustrate that our pre-locating algorithm speeds up logo detection to a great extent and shows precise location compared to previous systems.
机译:本文介绍了一种新颖的预定位算法,用于在不受约束的彩色图像中快速检测徽标。这项工作有两个主要贡献。第一种是一种新的徽标表示方法,称为“空间连接组件描述符”(SCCD),其中包含连接组件(CC)预测模型和有效CC像素分布直方图。前者表示基于CC的颜色和空间关系的CC之间的组合。后者描述了有效CC的像素分布信息。这两个部分从不同角度捕获徽标的布局。第二种是通过SCCD进行徽标预定位算法,以在测试图像中搜索徽标预测区域,在该区域上使用了一些基于内容的特征进行徽标匹配。实验结果表明,与以前的系统相比,我们的预定位算法在很大程度上加快了徽标检测的速度,并显示了精确的位置。

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  • 来源
    《》|2012年|p.1297- 1300|共4页
  • 会议地点 Kyoto(JP)
  • 作者

    Zhang Yuan;

  • 作者单位

    Hi-tech Innovation Center Institute of Automation Chinese Academy of Sciences Beijing China;

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