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Study on the development of automatic log scaling system based on machine vision

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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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Acknowledgments

The paper is supported by the Beijing Jiaotong University Education Fund (KMJB10008536).

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Correspondence to Jiwu Wang.

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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

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