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Non-Contact Sensing System to Measure Specimen Volume During Shrinkage Test

机译:非接触式传感系统,可在收缩测试过程中测量试样体积

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摘要

The shrinkage curve provides information of value for the interpretation of soil-water characteristic curve data. However, there is need for an accurate and precise volume measurement technique during the shrinkage test. This paper presented an inexpensive automated digital image processing technique, which allowed accurate and precise measurements of the soil specimen volume. The volume was computed by accurately measuring the radius and height over the entire lateral surface of specimen. The proposed volume measurement technique involved projecting a structured light laser on the soil specimen in order to provide the reference points for measurements. A 360 degrees view of the specimen was then captured using a camera. High resolution images were then processed using functions developed within MATLAB. The computations also allowed the reconstruction of a 3D mesh model of the specimen. A validation test on a dummy object showed that the error in radius and height measurements at more than 75 % measurement points was less than 60.05 and 60.07 mm, respectively. A 99 % accuracy was achieved in the volume measurement of the soil specimen.
机译:收缩曲线提供了用于解释土壤-水特征曲线数据的价值信息。然而,在收缩测试期间需要精确和精确的体积测量技术。本文提出了一种廉价的自动化数字图像处理技术,该技术允许对土壤样本量进行准确而精确的测量。通过精确测量样品整个侧面的半径和高度来计算体积。拟议的体积测量技术涉及在土壤标本上投射结构光激光,以便为测量提供参考点。然后使用相机捕获标本的360度视图。然后使用MATLAB内部开发的功能处理高分辨率图像。该计算还允许重建样本的3D网格模型。对虚拟物体的验证测试表明,在超过75%的测量点处,半径和高度测量的误差分别小于60.05和60.07 mm。在土壤样品的体积测量中达到了99%的精度。

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