Optimized aggregate height measurement by laser with nonlinear fitting

Abstract

The measurement of shape parameters of coarse aggregate is the premise to ensure the quality of concrete engineering. In the measurement of particle shape based on laser triangulation method, the selection of polynomial fitting parameters between different test scene displacement and image offset is often different. For coarse aggregate height measurement, an optimal laser triangulation method is proposed, and the best polynomial fitting times of aggregate measurement is obtained through data extraction and error analysis. Firstly, the laser streak information is collected from the aggregate surface based on the industrial camera, and the laser streak is processed by Gaussian filtering and color space transformation, and then the center line of the laser streak is obtained by the center method to obtain the corresponding aggregate height information. Finally, based on the comparison between the experimental measurements and the height values calculated by different polynomial fits, the laser triangulation solution method is optimized by different error factors analysis. The experimental results show that in the process of aggregate height measurement, the cubic term fitting solution is optimal with an average relative error of only 0.693%.

Keywords:

• Particle height
• laser triangulation measurement
• nonlinear fitting
• shape feature

Author contributions

Wenyun Wang: Conceptualization, Methodology, Writing – review & editing. Wenhui Sun: Data curation, Software, Writing – original draft. Yingfu Guo: Visualization, Investigation. Jinglong Huang: Project administration.

Disclosure statement

No potential conflict of interest was reported by the author(s). The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.

Data availability statement

The data that support the findings of this study are available from the corresponding author upon reasonable request.

Additional information

Funding

This work was supported by the general program of the Hunan Natural Science Foundation (NO. 2021JJ30251), the youth program of the Hunan Natural Science Foundation (NO. 2020JJ5187), and the central and local science and technology development fund program (NO. 2022ZYT012).