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Research on Dynamic Measurement System for Bulk Material Based on Machine Vision

机译:基于机器视觉的散装材料动态测量系统研究

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In order to improve measurement accuracy and reduce maintenance work of dynamic measurement system, research is proposed on non-contract measurement method based on machine vision. To choose real-time measurement system of mining car as test object, and use binocular vision to calculate 3 D coordinates of contour, and obtain the values of volume and weight with material through operation. Test platform and work flow is designed in detail. A calibration method combined the advantages of optical calibration with camera calibration itself is proposed. To simplify the extraction and matching of feature points through using structured light. Test results show that this method can effectively improve the accuracy of dynamic measurement system for bulk material.
机译:为了提高测量精度和减少动态测量系统的维护工作,基于机器视觉的非合同测量方法提出了研究。选择采矿汽车的实时测量系统作为测试对象,并使用双目视觉计算轮廓的3D坐标,并通过操作获得材料的体积和重量的值。测试平台和工作流程详细设计。提出了一种校准方法,提出了使用相机校准本身的光学校准的优点。通过使用结构光简化特征点的提取和匹配。测试结果表明,该方法可以有效提高散装材料动态测量系统的准确性。

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