Abstract
An automated vision-based method for profile reconstruction is presented in this paper in order to generate NC-code script file for 2D CNC machining from sample object. A profile reconstruction system capturing images of sample objects was developed and located on the flat table. Based on the sample image, the boundary in the image is detected by several image processing algorithms. After that the profile data is acquired and converted into NC-code commands. Experimental results show that the proposed method is effective in reverse engineering and the developed profile-reconstruction system has acquired high accuracy and flexibility.
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Nguyen, HC., Nguyen, PL. (2020). A Vision-Based Method of Reverse Engineering for 2D CNC Machining. In: Sattler, KU., Nguyen, D., Vu, N., Tien Long, B., Puta, H. (eds) Advances in Engineering Research and Application. ICERA 2019. Lecture Notes in Networks and Systems, vol 104. Springer, Cham. https://doi.org/10.1007/978-3-030-37497-6_11
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DOI: https://doi.org/10.1007/978-3-030-37497-6_11
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