Abstract
The conventional log scaling, to get higher accuracy, is done one by one with a tape measure by manual operation. It generally takes more workers working hard for a long time carefully. Here, based on machine vision, a new method is given to scale a bundle of logs at a time. In this scaling process, it is necessary to get the distance between the log-end and camera accurately. Different from general distance calculation, the distance between the log-end and camera is calculated automatically based on the laser triangulation method. It is a seamless integration of image processing and distance calculation. Then the dimensions of each log in the captured images can be transformed to the real ones. In this paper, the relative algorithms are given. And the accuracy of distance calculation is verified with experiments in our lab.
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References
Diandong D, Tongxin Z (2011) Influence on the wood market with log scaling of non national standard, Chengshi Jianshe Lilun Yanjiu, (Electrical version), No. 18
Wang J, Gao W, Wang Y (2011) Study on the height measurement based on the image processing technique. Journal of AROB 16th, Japan, 27–29
Hattuniemi JM, Makynen A (2007) Thickness measurement of thin wood material by differential laser triangulation method. Proceedings of the SPIE—The International Society for Optical Engineering 9(7022):1–8
Chen Z (2007) Precision analysis for double observation station of IRST systems used for passive ranging. Sci Technol Eng 7(5):842–844
Dorsch RG, Hausler G, Herrmann JM (1994) Laser triangulation: fundamental uncertainty in distance measurement. Appl Opt 33(7):1306–1320
Reiner J, Stankiewicz M (2011) Evaluation of the predictive segmentation algorithm for the laser triangulation method. Metrol Meas Syst 18(4):667–678
Vukašinovic N, Korošec M, Duhovnik J (2010) The influence of surface topology on the accuracy of laser triangulation scanning results. J Mech Eng 56(1):23–30
Abzal A, Varshosaz M, Saadatseresht M (2011) Development of a new laser triangulation system based on an optical frame of refer. Photogramm Rec 26(135):293–306
Fan F, Cheng L, Xiao L, Zhu Q (2011) Establishment and analysis of auto-focus model for laser triangulation method. Infrared Laser Eng 40(10):2028–2032
Mei Z, Ren H, Dong B (2010) An edge detection algorithm for the image of log end based on homomorphic enhancement, ICCASM 2010–2010. In: Proceedings, of the international conference on computer application and system modeling, 2:253–256
Acknowledgments
The paper is supported by the Beijing Jiaotong University Education Fund (KMJB10008536).
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Wang, J., Gao, W., Liao, F. et al. Study on the development of automatic log scaling system based on machine vision. Artif Life Robotics 18, 15–19 (2013). https://doi.org/10.1007/s10015-013-0093-1
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DOI: https://doi.org/10.1007/s10015-013-0093-1