Kong Lingyuan, Ma Linqian, Wang Keyuan, Peng Xingshuo, Geng Nan
College of Information Engineering, Northwest Agriculture and Forestry University, Xianyang 712100, China.
Key Laboratory of Agricultural Internet of Things, Ministry of Agriculture and Rural Affairs, Northwest A&F University, Xianyang 712100, China.
Sensors (Basel). 2024 May 31;24(11):3554. doi: 10.3390/s24113554.
In this study, an innovative laser 3D-scanning technology is proposed to scan pipe inner walls in order to solve the problems of the exorbitant expenses and operational complexities of the current equipment for the 3D data acquisition of the pipe inner wall, and the difficulty of both the efficiency and accuracy of traditional light stripe-center extraction methods. The core of this technology is the monocular-structured light 3D scanner, the image processing strategy based on tracking speckles, and the improved gray barycenter method. The experimental results demonstrate a 52% reduction in the average standard error of the improved gray barycenter method when compared to the traditional gray barycenter method, along with an 83% decrease in the operation time when compared to the Steger method. In addition, the size data of the inner wall of the pipe obtained using this technology is accurate, and the average deviation of the inner diameter and length of the pipe is less than 0.13 mm and 0.41 mm, respectively. In general, it not only reduces the cost, but also ensures high efficiency and high precision, providing a new and efficient method for the 3D data acquisition of the inner wall of the pipe.
在本研究中，提出了一种创新的激光三维扫描技术来扫描管道内壁，以解决当前用于管道内壁三维数据采集的设备费用过高和操作复杂的问题，以及传统光条中心提取方法在效率和准确性方面的困难。该技术的核心是单目结构光三维扫描仪、基于跟踪散斑的图像处理策略以及改进的灰度重心法。实验结果表明，与传统灰度重心法相比，改进的灰度重心法的平均标准误差降低了52%，与Steger方法相比操作时间减少了约83%。此外，使用该技术获得的管道内壁尺寸数据准确，管道内径和长度的平均偏差分别小于0.13毫米和0.41毫米。总体而言，它不仅降低了成本，还确保了高效率和高精度，为管道内壁的三维数据采集提供了一种新的高效方法。
