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Study of precise measurement algorithm based on machine vision

机译:基于机器视觉的精确测量算法研究

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An precise measurement algorithm based on machine is presented, first, salt and pepper noise has been pushed into original image, then the image with noise was under a median filtering, output image is well preprocessed, and distortion in image has been corrected by Camera Distortion Correction. The corrected image was detected by Canny operator on its edge then the image's edge was extracted by the maximum variance method on certain threshold, and the output image is showed in gray level, then the gray level was under interpolation computation by bilinear interpolation function to make its edge be detected at sub-pixel level. In this paper, the combination of image procession and camera calibration is practically and effectively fulfilled the precision requirement of the system.
机译:提出了一种基于机器的精确测量算法,首先,盐和辣椒噪声被推入原始图像中,然后具有噪声的图像在中值滤波,输出图像很好地预处理,并且通过相机失真校正了图像的失真。更正。校正的图像被敏感的图像在其边缘上检测到,然后通过最大方差方法在某些阈值上提取图像的边缘,并且输出图像以灰度级显示,然后通过双线性插值函数下的插值计算下灰度计算它的边缘在子像素级别检测到。在本文中,实际上有效地满足了图像处理和摄像机校准的组合系统的精确要求。

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