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A new vectorial ordering for color morphology based on marginal ordering

机译:基于边际排序的颜色形态新矢量排序

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Though mathematical morphology can process the binary and grayscale image successfully, this theory can not extend to the color image directly. Since the vectorial ordering must be applied for color image, marginal ordering (M-ordering) can easily be considered to color morphology. However, M-ordering can produce new color vectors. In this paper, a new approach is proposed, which also orders vectorial components along each dimension independently, but can not produce any new color artifacts. By this new approach, when each component are merged to form the color pixel, if this color pixel is not a new color, it can be final output pixel; but if this is a new color, the final output color should be computed based on the result of each component. Furthermore, two applications of the proposed approach are present, and the results are also discussed.
机译:尽管数学形态学可以成功地处理二进制和灰度图像,但是该理论不能直接扩展到彩色图像。由于必须对彩色图像应用矢量排序,因此可以很容易地将边缘排序(M排序)视为颜色形态。但是,M排序可以产生新的颜色向量。在本文中,提出了一种新方法,该方法也可以沿每个维度独立地对矢量分量进行排序,但不会产生任何新的颜色伪像。通过这种新方法,当将每个分量合并以形成彩色像素时,如果该彩色像素不是新颜色,则可以是最终输出像素;否则,它将变为最终输出像素。但是,如果这是一种新颜色,则应根据每个组件的结果计算最终的输出颜色。此外,提出了该方法的两个应用,并对结果进行了讨论。

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