Measurement of laser spot center position based on sub pixel positioning technology
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摘要: 传统亚像素定位算法过程中存在着抗干扰能力弱、定位精确度差、软件实现难度大等问题。为了解决这些问题，提高激光光斑中心定位精度，采用曲线拟合算法，结合小尺寸光斑中心的高精度定位测量法，进行了理论分析和实验验证。结果表明，该方法可将质心提取误差控制在0.1pixel内，与传统算法相比，其误差更小。该图像质心测量方法有效地降低了噪声干扰，增强了算法的抗噪声性能。Abstract: In order to overcome the shortcomings of traditional subpixel location algorithm, such as weak anti-jamming ability, poor positioning accuracy, and difficulty in software realization, and improve the center location accuracy of laser spot, the method of curve fitting was used and a high-precision positioning measurement method of small spot size was proposed. After theoretical analysis and experimental verification, the error of center-of-mass extraction is controlled within 0.1pixel. The results show that the image centroid measurement method reduces the noise interference effectively and enhances the anti-noise performance. Compared with the traditional algorithm, the error is smaller.
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Keywords:
- image process /
- spot center location /
- curve fitting /
- sub pixel
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Table 1 Positioning results of laser spot center based on sub pixel positioning/pixel
the centroid position small spot size algorithm fusion curve fitting algorithm center absolute error center absolute error (81.0, 81.0) (81.49, 81.48) (0.49, 0.48) (81.08, 81.07) (0.08, 0.07) (81.1, 81.1) (81.48, 81.51) (0.38, 0.41) (81.06, 81.18) (0.04, 0.08) (81.2, 81.2) (81.56, 81.62) (0.36, 0.42) (81.24, 81.30) (0.04, 0.10) (81.3, 81, 3) (81.71, 81.80) (0.41, 0.50) (81.40, 81.38) (0.10, 0.08) (81.4, 81.4) (81.90, 81.99) (0.50, 0.59) (81.50, 81.46) (0.10, 0.06) 
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