一种基于图像处理的旋切原木直径测量方法

doi:10.11707/j.1001-7488.20190514

Abstract

Abstract: [Objective] A non-contact log diameter measurement method for a rotary cutting machine based on image processing technology was proposed in this paper with the aim to provide technical support for the non-contact, low-cost measurement of log diameter for a rotary cutting.[Method] In this study, a red line laser of 650 nm source and an invisible line laser source of 940 nm were added as auxiliary light sources, a Raspberry Pi camera and a USB-interface driverless high-definition industrial camera were selected for different laser light sources to acquire the images, respectively. Five methods of calculation(calculate arc length method,calculate perimeter length method,skeletal method,circle-fitting method,calculate the number of pixels in X axis, and six kinds of fitting method (Fourier fitting method, Exponential fitting method, Gaussian fitting method, Polynomial fitting method, Power fitting method, Sum of Sine method) were adopted when exploring which method is the best way to measure the diameter of the log on the premise of satisfying the precision requirements.[Result] By comparing the goodness of the different fitting method, two schemes of best fitting goodness can be obtained. They're respectively the method of calculating the number of pixels in X axis of laser line and applying the fitting method of Sum of Sine, the coefficient of determination was 0.999 8 and the standard deviation was 1.638. And the method of calculating the number of pixels in X axis of laser line and applying the fitting method of Fourier, the coefficient of determination was 0.999 8 and the standard deviation was 1.881. Furthermore, during the error analysis of log measurements to compare the two method, Fourier fitting and Sum of Sine fitting, had less difference in goodness of fitting. The average absolute error range of the Fourier fitting method was 1.7%, the standard deviation was 2.11, and the variance was 4.45. The average absolute error range of the Sum of Sine fitting method was 1.5%, the standard deviation was 4.35, and the variance was 18.95.[Conclusion] The scheme of calculating the number of pixels in X axis of laser line and applying the fitting method of Fourier can obtain the best goodness of fitting while satisfying the measurement precision of the diameter of the log for the rotary cutting machine.

Key words: log diameter measurement, image processing, laser, calibration and fitting

CLC Number:

TS612

Yan Lei, Gao Xiang, Wang Tengyu, Pang Lei, Su Lin, Kang Yongzhen. A Measurement Method of Log Diameter for Rotary Cutting Machines Based on Image Processing[J]. Scientia Silvae Sinicae, 2019, 55(5): 125-133.

References

Cheng P L,Liu J H,Wang D. 2013. Measuring diameters at breast height using combination method of laser and machine vision. Transactions of The Chinese Society of Agricultural Machinery,44(11):271-275.[in Chinese]
Choi W P, Lam K M, Siu W C.2003. Extraction of the euclidean skeleton based on a connectivity criterion. Pattern Recognition,36(3):721-729.
Clark N A, Wynne R H, Schmoldt D L, et al. 2000. An assessment of the utility of a non-metric digital camera for measuring standing trees. Computers and Electronics in Agriculture,28(2):151-169.
Hapca A I,Mothe F,Leban J M. 2007. A digital photographic method for 3D reconstruction of standing tree shape.Annals of Forest Science,64(6):631-637.
Hong Y.2010.Study of object measurement system based on image processing. Xi'an:MS thesis of Shaanxi University of Science and Technology.[in Chinese]
Jia T M. 2012. Study on the pruning point locating method of the grapevine winter pruning robot. Hangzhou:MS thesis of Zhejiang University of Technology.[in Chinese]
Kan J M,Li W B,Sun R S.2007.Computer vision based method of automatic measurement of trunk and branch diameters of standing trees. Journal of Beijing Forestry University, 29(4):5-9.[in Chinese]
Li P Z, Zhou X C, Zhang C L, et al. 2014. Method of 3D visualization for plant root architecture in situ based on skeleton model.Computer Engineering and Design,35(11):3913-3917.[in Chinese]
Ma J D, Li S H, Zhu Y J.2015. Study of the forest measurement inspection methods based on HALCON. Forest Engineering,31(3):57-59.[in Chinese]
Malcomb J R.2014. Laser profilometry for non-contact automated countersink diameter measurement. SAE International Journal of Aerospace, doi:10.4271/2014-01-2255.
Sun H,Sun M,Wang Y M. 2006.Status and trend of research on non-destructive measurement of plant growth based on machine vision. Transactions of the Chinese Society for Agricultural Machinery, 37(10):181-185.[in Chinese]
Sun R S. 2006. A study on machine vision identification for standing tree branches and trunks.Beijing:PhD thesis of Beijing Forestry University.[in Chinese]
Sun L F,Yan C S.2000. The system of automatic log diameter measurement using a mobile Laser. Journal of Nanjing Forestry University,24(3):41-44.[in Chinese]
Wang J L, Li T, Wang D, et al. 2013.Measuring algorithm for tree's diameter at breast height based on optical triangular method and image processing. Transactions of the Chinese Society for Agricultural Machinery,44(7):241-245.[in Chinese]
Xiong J, Tian S L, Yang C L.2017. Fault modeling on complex field using least-square circle fitting for linear analog circuits. IEEJ Transactions on Electrical and Electronic Engineering,12(5):638-645.
Xu C, Xiao X, Luo Y, et al. 2012. New skeleton extraction method based on distance transform. Chinese Journal of Scientific Instrument, 33(12):2851-2856.[in Chinese]
Zeng Q B, Liu C L, Miao Y B, et al. 2009. High accuracy measurement of grape stem diameter based on computer vision. Transactions of the Chinese Society for Agricultural Machinery, 40(12):182-185.[in Chinese]
Zhao S L, Qu X H, Xing S J, et al. 2012. Large-scale diameter automatic measuring system based on laser non-contact measuring principle. Infrared and Laser Engineering, 41(8):2185-2191.

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A Measurement Method of Log Diameter for Rotary Cutting Machines Based on Image Processing

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