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Color Fourier Descriptor for Defect Image Retrieval

机译:彩色傅立叶描述符用于缺陷图像检索

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The shapes of the objects in the images are important in the content-based image retrieval systems. In the contour-based shape description, Fourier descriptors have been proved to be effective and efficient methods. However, in addition to contour shape, Fourier description can be used to characterize also the color of the object. In this paper, we introduce new Color Fourier descriptors. In these descriptors, the boundary information is combined with the color of the object. The results obtained from the retrieval experiments show that by combining the color information with the boundary shape of the object, the retrieval accuracy can be clearly improved. This can be done without increasing the dimensionality of the descriptor.
机译:图像中的对象的形状在基于内容的图像检索系统中是重要的。在基于轮廓的形状描述中,已被证明傅立叶描述符是有效和有效的方法。然而,除了轮廓形状之外,傅立叶描述也可用于表征物体的颜色。在本文中,我们介绍了新的傅里叶描述符。在这些描述符中,边界信息与对象的颜色组合。从检索实验获得的结果表明,通过将颜色信息与物体的边界形状组合,可以清楚地改善检索精度。这可以在不增加描述符的维度的情况下进行。

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