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Shadow removal of single texture region using local histogram matching

机译:使用局部直方图匹配去除单个纹理区域的阴影

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Shadows have long been a problem to computer vision algorithms. Removing shadow can significantly improve the performance of several vision task such as object detection and image segmentation. Various methods of shadow removal in images had been developed. In this paper, we discussed the characteristic of shadowed region with single texture statistically, based on an illumination model, and then developed a simple and fast way of removal shadow using local histogram matching in different illumination reduction level.
机译:长期以来,阴影一直是计算机视觉算法的问题。去除阴影可以显着提高一些视觉任务的性能,例如目标检测和图像分割。已经开发了各种去除图像中的阴影的方法。在本文中,我们基于照明模型统计地讨论了具有单一纹理的阴影区域的特征,然后开发了一种在不同照明降低水平下使用局部直方图匹配的简单快速的阴影去除方法。

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