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A Planar-Dimensions Machine Vision Measurement Method Based on Lens Distortion Correction

机译:基于镜头畸变校正的平面尺寸机器视觉测量方法

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摘要

Lens distortion practically presents in a real optical imaging system causing nonuniform geometric distortion in the images and gives rise to additional errors in the vision measurement. In this paper, a planar-dimensions vision measurement method is proposed by improving camera calibration, in which the lens distortion is corrected on the pixel plane of image. The method can be divided into three steps: firstly, the feature points, only in the small central region of the image, are used to get a more accurate perspective projection model; secondly, rather than defining a uniform model, the smoothing spline function is used to describe the lens distortion in the measurement region of image, and two correction functions can be obtained by fitting two deviation surfaces; finally, a measurement method for planar dimensions is proposed, in which accurate magnification factor of imaging system can be obtained by using the correction functions. The effectiveness of the method is demonstrated by applying the proposed method to the test of measuring shaft diameter. Experimental data prove that the accurate planar-dimensions measurements can be performed using the proposed method even if images are deformed by lens distortion.
机译:镜头失真实际上存在于实际的光学成像系统中,导致图像中的几何失真不均匀,并在视觉测量中引起其他误差。本文提出了一种通过改进相机标定的平面视觉测量方法,该方法可以在图像的像素平面上校正镜头畸变。该方法可以分为三个步骤:首先,仅在图像的较小中心区域中使用特征点,以获得更准确的透视投影模型;其次,不是定义统一的模型,而是使用平滑样条函数来描述图像测量区域中的镜头畸变,通过拟合两个偏斜面可以获得两个校正函数。最后,提出了一种平面尺寸的测量方法,利用校正函数可以得到精确的成像系统放大倍数。通过将所提出的方法应用于轴径测试中,证明了该方法的有效性。实验数据证明,即使图像因镜头畸变而变形,也可以使用提出的方法进行精确的平面尺寸测量。

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