[1]刘佳鑫,孔令华,郑积仕,等.基于机器视觉的木材径级测量系统设计[J].福建工程学院学报,2022,20(06):607-612.[doi:10.3969/j.issn.1672-4348.2022.06.016]
　LIU Jiaxin,KONG Linghua,ZHENG Jishi,et al.Design of wood diameter classification system based on machine vision[J].Journal of FuJian University of Technology,2022,20(06):607-612.[doi:10.3969/j.issn.1672-4348.2022.06.016]
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基于机器视觉的木材径级测量系统设计()
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《福建工程学院学报》[ISSN:2097-3853/CN:35-1351/Z]

卷:
第20卷
期数:
2022年06期
页码:
607-612
栏目:
出版日期:
2022-12-25

文章信息/Info

Title:
Design of wood diameter classification system based on machine vision
作者:
刘佳鑫; 孔令华; 郑积仕; 丁志刚; 冯丽
福建工程学院管理学院
Author(s):
LIU Jiaxin;  KONG Linghua;  ZHENG Jishi;  DING Zhigang;  FENG Li
School of Management, Fujian University of Technology
关键词:
机器视觉; 图像分割; 径级测量; 最小二乘法
Keywords:
machine vision;  image segmentation;  diameter measurement;  least squares method
分类号:
S781;TB391.41
DOI:
10.3969/j.issn.1672-4348.2022.06.016
文献标志码:
A
摘要:
针对人工测量木材径级效率低、存在主观误差等问题，基于机器视觉技术开发了一个木材径级自动测量系统。利用Opencv设计算法流程，采用背景减法、均值滤波、固定阈值分割得到木材径向截面轮廓的二值图像，再利用边缘检测和椭圆拟合算法拟合轮廓的椭圆，将椭圆短轴像素点数转换为木材直径。利用C#编写人机交互界面显示木材直径的测量结果并将分类结果传输给下位机。经过实验验证，该系统的软件算法流程能够准确测量木材直径，得到的测量绝对误差在0.8 cm以内，单根测量平均时间为0.895 s，有效提高了木材径级测量的效率，为实现木材径级的自动化分拣提供支撑。
Abstract:
Aiming at the low efficiency and subjective error of manual measurement of wood diameter grade, an automatic measurement system of wood diameter grade was developed based on machine vision technology, and the algorithm flow was designed by using Opencv, and the binary image of the contour of the radial section of wood was obtained by background subtraction, mean value filtering and fixed threshold segmentation. Edge detection and ellipse fitting algorithm were used to fit the ellipse of the contour. The ellipse minor axis pixel points were converted into wood diameter. C# was used to program the human-computer interaction interface to display the measurement results of wood diameter and transmit the classification results to the lower computer. After experimental verification, the software algorithm flow of the system can accurately measure the diameter of wood, and the absolute error of the measurement obtained is within 0.8 cm, and the average measurement time of a single piece is 0.895 s, which effectively improves the efficiency of wood diameter grade measurement and provides support for the automated sorting of wood diameters.

参考文献/References:

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更新日期/Last Update: 2022-12-25