TY - GEN
T1 - A Real-time Object Volume Measurement Method Based on Line Laser Scanning
AU - Zhang, Bin
AU - Cao, Bin
AU - Ma, Hongbin
N1 - Publisher Copyright:
© 2022 Technical Committee on Control Theory, Chinese Association of Automation.
PY - 2022
Y1 - 2022
N2 - Volume measurement of objects has numerous applications in industry and transportation, especially non-contact volume measurement is required in many scenarios. Laser scanning technology is widely used in non-contact volume measurement, but the current volume measurement methods based on laser scanning usually treat the point cloud of the object as a whole structure, which leads to the inability to measure the volume in real-time and the increase of measurement error. Based on the above, we designed a real-time object volume measurement system based on line laser scanning. The principle is: After irradiating the object with a beam of line laser, it will form an undulating curve according to the shape of the surface of the object, and then a single frame image can be obtained by shooting from the side with an industrial camera. The frame image is processed by the Rosenfeld image thinning algorithm of fusion burr trimming to obtain the contour lines of the object. And then the outline is processed into a line of outline points by the mapping of the 2D image to the 3D space. Multiple lines of outline points can be obtained during the movement of the object, splicing it to obtain a point cloud that can represent the surface of the object. Since the ordered point cloud obtained by the above method naturally has the condition of integration by the differential method, the volume of the object is calculated in the process of obtaining the ordered point cloud in a point-by-point, line-by-line integration way, which achieves the effect of calculating the volume of the object in real-time during the scanning process.
AB - Volume measurement of objects has numerous applications in industry and transportation, especially non-contact volume measurement is required in many scenarios. Laser scanning technology is widely used in non-contact volume measurement, but the current volume measurement methods based on laser scanning usually treat the point cloud of the object as a whole structure, which leads to the inability to measure the volume in real-time and the increase of measurement error. Based on the above, we designed a real-time object volume measurement system based on line laser scanning. The principle is: After irradiating the object with a beam of line laser, it will form an undulating curve according to the shape of the surface of the object, and then a single frame image can be obtained by shooting from the side with an industrial camera. The frame image is processed by the Rosenfeld image thinning algorithm of fusion burr trimming to obtain the contour lines of the object. And then the outline is processed into a line of outline points by the mapping of the 2D image to the 3D space. Multiple lines of outline points can be obtained during the movement of the object, splicing it to obtain a point cloud that can represent the surface of the object. Since the ordered point cloud obtained by the above method naturally has the condition of integration by the differential method, the volume of the object is calculated in the process of obtaining the ordered point cloud in a point-by-point, line-by-line integration way, which achieves the effect of calculating the volume of the object in real-time during the scanning process.
KW - Line Beam Laser
KW - Machine Vision
KW - Non-contact Volume Measurement
KW - Ordered Point Cloud
UR - http://www.scopus.com/inward/record.url?scp=85140460996&partnerID=8YFLogxK
U2 - 10.23919/CCC55666.2022.9902574
DO - 10.23919/CCC55666.2022.9902574
M3 - Conference contribution
AN - SCOPUS:85140460996
T3 - Chinese Control Conference, CCC
SP - 6800
EP - 6805
BT - Proceedings of the 41st Chinese Control Conference, CCC 2022
A2 - Li, Zhijun
A2 - Sun, Jian
PB - IEEE Computer Society
T2 - 41st Chinese Control Conference, CCC 2022
Y2 - 25 July 2022 through 27 July 2022
ER -