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Content-Based Image Retrieval Using Shifted Histogram

机译:使用移位直方图的基于内容的图像检索

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摘要

This paper proposes the shifted histogram method (SHM), for histogram-based image retrieval based on the dominant colors in images. The histogram-based method is very suitable for color image retrieval because retrievals are unaffected by geometrical changes in images, such as translation and rotation. Images with the same visual information, but with shifted color intensity, may significantly degrade if the conventional histogram intersection method (HIM) is used. In order to solve this problem, we propose the shifted histogram method (SHM). Our experimental results show that the shifted histogram method.
机译:提出了一种基于图像主色的基于移动直方图的图像检索方法。基于直方图的方法非常适合于彩色图像检索,因为检索不受图像几何形状变化(例如平移和旋转)的影响。如果使用常规的直方图相交方法(HIM),则具有相同视觉信息但色彩强度有所变化的图像可能会显着降级。为了解决这个问题,我们提出了移位直方图方法(SHM)。我们的实验结果表明,采用移位直方图方法。

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