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Shadow removal with background difference method based on shadow position and edges attributes

机译:基于阴影位置和边缘属性的背景差异方法去除阴影

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This article presents a shadow removal algorithm with background difference method based on shadow position and edges attributes. First, a novel background subtraction method is proposed to obtain moving objects. This method mainly includes three parts, namely detecting the moving regions approximately by calculating the inter-frames differences of symmetrical frames and counting the static index of each probable moving point; modeling for background by the statistics of brightness information and updating this model combining motion templates; then extracting moving objects and its edges. Second, based on the above processing, we suppress shadows in the HSV color space first, then the direction of shadow is determined by shadow edges and positions combining with the horizontal and vertical projections of the edge image, respectively, the position of the shadow is located accurately through proportion method, the shadow can be removed finally. Experimental results indicate that the proposed method is easy to be realized and can determine the direction of the shadow adaptively, then eliminate the shadow and extract the whole moving object accurately, especially when the chrominance invariant principle is ineffective.
机译:本文提出了一种基于阴影位置和边缘属性的背景差分法阴影去除算法。首先,提出了一种新颖的背景减影方法来获取运动物体。该方法主要包括三个部分,即通过计算对称帧的帧间差异并计算每个可能运动点的静态指标来近似地检测运动区域;以及通过亮度信息的统计为背景建模,并结合运动模板更新该模型;然后提取运动对象及其边缘。其次,基于上述处理,我们首先在HSV颜色空间中抑制阴影,然后通过阴影边缘和位置以及边缘图像的水平和垂直投影分别确定阴影的方向,阴影的位置为通过比例法准确定位阴影,最终可以去除阴影。实验结果表明,该方法易于实现,可以自适应地确定阴影的方向,然后消除阴影,准确地提取出整个运动物体,尤其是在色度不变原理无效的情况下。

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