【24h】

Color Fourier Descriptor for Defect Image Retrieval

机译:彩色傅里叶描述符用于缺陷图像检索

获取原文
获取原文并翻译 | 示例

摘要

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:图像中对象的形状在基于内容的图像检索系统中很重要。在基于轮廓的形状描述中,傅立叶描述符已被证明是有效的方法。但是,除了轮廓形状之外,还可以使用傅立叶描述来表征对象的颜色。在本文中,我们介绍了新的颜色傅立叶描述符。在这些描述符中,边界信息与对象的颜色组合在一起。从检索实验中获得的结果表明,通过将颜色信息与对象的边界形状结合起来,可以明显提高检索精度。无需增加描述符的维数即可完成此操作。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号