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A way to Calibrate a Colour Texture Feature

机译:一种校准颜色纹理特征的方法

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Several colour descriptors are presented each year. The existing protocols to evaluate and compare these descriptors are restricted to the use of image databases without information about the spatio-chromatic content. In this article, we present a first answer to calibrate a colour texture descriptor. By calibration, we intend evaluate the capacity of the descriptor to discriminate the non-uniform aspect according to different scales of samples. In order to assess all the possibilities in term of spatial frequencies and colour content, we propose to use reference images based on a fractal vector colour model. Three texture features are compared from this protocol allowing to express the interest of the proposed calibration sequence.
机译:每年呈现几种颜色描述符。 要评估和比较这些描述符的现有协议仅限于使用图像数据库而无需关于时空核内容的信息。 在本文中,我们提出了校准颜色纹理描述符的第一个答案。 通过校准,我们打算评估描述符的容量,以根据样本的不同尺度对非统一方面进行区分。 为了评估空间频率和颜色内容期限的所有可能性,我们建议基于分形矢量颜色模型使用参考图像。 从该协议比较了三个纹理特征,允许表达所提出的校准序列的兴趣。

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