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首页> 外文期刊>Optics and Lasers in Engineering >Improved marker coordinate recognition algorithm incorporating temporal continuity of deformation
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Improved marker coordinate recognition algorithm incorporating temporal continuity of deformation

机译：改进的标记坐标识别算法包含变形的时间连续性

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摘要

Marker coordinate recognition (MCR) is widely used in fields such as medical character positioning, artificial intelligence control, and motion and deformation monitoring. Registration algorithms are often applied to improve the accuracy of MCR. However, external conditions such as light and temperature induce a temporal variation in the grey level during image acquisition, thereby reducing measurement accuracy. To overcome this problem, a mechanical constraint is introduced into marker point image processing, and an algorithm that incorporates the temporal continuity of deformation is proposed. A detailed derivation of this algorithm is generated, and the algorithm's performance is systematically validated through numerical and experimental tests. The results show that the proposed method yields accurate measurements accuracy but with a slight increase in computational cost. The proposed method can be used to improve deformation measurement and position accuracy.
机译：标记坐标识别（MCR）广泛应用于医学角色定位，人工智能控制和运动和变形监测等领域。通常应用注册算法以提高MCR的准确性。然而，诸如光和温度的外部条件诱导图像采集期间灰度级的时间变化，从而降低测量精度。为了克服这个问题，提出了一种机械约束，并提出了一种包含变形的时间连续性的算法。生成了该算法的详细推导，通过数值和实验测试系统地验证了算法的性能。结果表明，该方法的准确测量准确性，计算成本略有增加。该方法可用于改善变形测量和定位精度。

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