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Robust histogram generation from the HSV space based on visual colour perception

机译:基于视觉颜色感知的HSV空间中强大的直方图生成

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摘要

We perform a detailed analysis of the visual properties of the Hue, Saturation and intensity Value (HSV) colour space. Relative importance of hue and intensity is determined based on the results of these analyses, which helps us to suggest a weight function for estimating the degree by which any pixel is colour-dominant or greyscale-dominant. We construct a histogram in which each pixel contributes to a grey component as well as to a hue component. The histogram is robust even in the presence of a considerable extent of noise in the input image.
机译:我们对色相,饱和度和强度值(HSV)色彩空间的视觉属性进行了详细分析。色相和强度的相对重要性是根据这些分析的结果确定的,这有助于我们提出一个权重函数,以估计任何像素以颜色为主或以灰度为主的程度。我们构建一个直方图,其中每个像素都对灰度分量和色调分量有所贡献。即使在输入图像中存在相当大程度的噪声的情况下,直方图也很鲁棒。

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