Tree Radial Growth Measurement System Based on Line Structured Light Vision

Author(s):  
Yachun Zheng ◽  
Junxing Li ◽  
Liming Wu
2014 ◽  
Vol 644-650 ◽  
pp. 1234-1239
Author(s):  
Tao He ◽  
Yu Lang Xie ◽  
Cai Sheng Zhu ◽  
Jiu Yin Chen

This template explains and demonstrates how to design a measurement system based on the size of the linear structured light vision, the system could works at realized the high precision and fast measurement of the size of mechanical parts, and accurate calibration of the system. First of all, this paper set up the experimental platform based on linear structured light vision measurement. Secondly, this paper established a system of measurement model, and puts forward a new method of calibration of structured light sensor and set up the mathematical model of sensor calibration. This calibration method only need to use some gage blocks of high precision as the target, the target position need not have a strict requirements, and the solving process will be more convenient, much easier to field use and maintenance. Finally, measuring accuracy on the system by gage blocks with high precision is verified, the experiment shows that measurement accuracy within 0.050 mmin the depth of 0-80 - mm range. This system can satisfy the demands of precision testing of most industrial parts .with its simple calibration process and high precision, it is suitable for the structured light vision calibration.


2012 ◽  
Vol 39 (11) ◽  
pp. 1108014 ◽  
Author(s):  
陈新禹 Chen Xinyu ◽  
马孜 Ma Zi ◽  
陈天飞 Chen Tianfei ◽  
李鹏 Li Peng

2019 ◽  
Vol 56 (22) ◽  
pp. 221505
Author(s):  
李爱娟 Li Aijuan ◽  
辛睿 Xin Rui ◽  
武栓虎 Wu Shuanhu

Sensors ◽  
2019 ◽  
Vol 19 (18) ◽  
pp. 3921 ◽  
Author(s):  
Tao Peng ◽  
Zhijiang Zhang ◽  
Yingjie Song ◽  
Fansheng Chen ◽  
Dan Zeng

Portable box volume measurement has always been a popular issue in the intelligent logistic industry. This work presents a portable system for box volume measurement that is based on line-structured light vision and deep learning. This system consists of a novel 2 × 2 laser line grid projector, a sensor, and software modules, with which only two laser-modulated images of boxes are required for volume measurement. For laser-modulated images, a novel end-to-end deep learning model is proposed by using an improved holistically nested edge detection network to extract edges. Furthermore, an automatic one-step calibration method for the line-structured light projector is designed for fast calibration. The experimental results show that the measuring range of our proposed system is 100–1800 mm, with errors less than ±5.0 mm. Theoretical analysis indicates that within the measuring range of the system, the measurement uncertainty of the measuring device is ±0.52 mm to ±4.0 mm, which is consistent with the experimental results. The device size is 140 mm × 35 mm × 35 mm and the weight is 110 g, thus the system is suitable for portable automatic box volume measurement.


2005 ◽  
Vol 295-296 ◽  
pp. 399-404
Author(s):  
X.Y. Yu ◽  
F.B. Zhang ◽  
H.J. Yuan ◽  
Z.G. Lang

The objective of this work is to develop a 3D measuring system for on-line 3D measurement in industry locale. Our system is based on the depth image using a structured-light method. A generator emitting a single stripe light and a camera are used to establish a 3D vision measurement system which is also called as a subsystem. But it only can obtain the depth image of a part at the measured object section. Our system is made up of four subsystems placed symmetrically in space. The depth images obtained by the subsystems are joined to form the depth image of a full section. If the object is uniformly shafted along a fixed beeline direction, the depth image of the full object surface is achieved. The indefiniteness in the image combination criterion can be removed when using the depth image. This paper introduces the system principle and the mathematical model. The algorithm is proposed with system parameters. A prototype is developed. The system has the range of 100mm in height x 100mm in width. The length is not limited. The measuring error is less than 0.5mm in height and width and less than 0.01mm in length. The characteristics make the system suitable for on-line 3D shape measurement and non-contact measurement with high speed.


IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 16423-16431 ◽  
Author(s):  
Peng Zhou ◽  
Ke Xu ◽  
Dadong Wang

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