The depth image generated by Kinect sensor always contains vibration and shadow noises which limit the related usage. In this research, a method based on image fusion and fractional differential is proposed for the vibration filtering and shadow detection. First, an image fusion method based on pixel level is put forward to filter the vibration noises. This method can achieve the best quality of every pixel according to the depth images sequence. Second, an improved operator based on fractional differential is studied to extract the shadow noises, which can enhance the boundaries of shadow regions significantly to accomplish the shadow detection effectively. Finally, a comparison is made with other traditional and state-of-the-art methods and our experimental results indicate that the proposed method can filter out the vibration and shadow noises effectively based on the [Formula: see text]-measure system.

中文翻译：

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基于融合和分数微分的深度图像振动滤波与阴影检测

Kinect 传感器生成的深度图像总是包含限制相关使用的振动和阴影噪声。在这项研究中，提出了一种基于图像融合和分数微分的振动滤波和阴影检测方法。首先，提出了一种基于像素级的图像融合方法来过滤振动噪声。这种方法可以根据深度图像的顺序来达到每个像素的最佳质量。其次，研究了一种基于分数阶微分的改进算子提取阴影噪声，可以显着增强阴影区域的边界，从而有效地完成阴影检测。最后，