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Depth edge detection using edge-preserving filter and morphological operations

机译:使用边缘保留滤波器和形态操作的深度边缘检测

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摘要

Canny edge detection principle and morphological operations have been used for depth edge detection. Several image smoothing filters were proposed for the enhancement of the detection task. However, an image smoothing filter can blur the edges of an image. In this paper, we propose an enhancement of depth edge detection using an edge-preserving filter, bilateral filter. The filter smooths an image and reduces the edge blurring effects across the edge such as halos and phantom. We maintain a canny edge detection principle and incorporate it with morphological properties. The results show that, this method can detect edges of a depth image better than the method without the edge-preserving filter such as gaussian and median blur.
机译:Canny Edge检测原理和形态学操作已被用于深度边缘检测。提出了几种图像平滑滤波器来提高检测任务。然而,图像平滑过滤器可以模糊图像的边缘。在本文中,我们提出了使用边缘保存滤波器,双边滤波器提高深度边缘检测。过滤器平滑图像并降低边缘的边缘模糊效果,例如晕圈和幻像。我们维持罐头边缘检测原理,并与形态特性掺入。结果表明,该方法可以比没有边缘保留滤波器的方法更好地检测深度图像的边缘,例如高斯和中间模糊。

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