Texture Descriptors for Automatic Estimation of Workpiece Quality in Milling
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-030-29859-3_62
Reference13 articles.
1. Arivazhagan, S., Ganesan, L.: Texture classification using wavelet transform. Pattern Recogn. Lett. 24(9–10), 1513–1521 (2003)
2. Bustillo, A., Correa, M.: Using artificial intelligence to predict surface roughness in deep drilling of steel components. J. Intell. Manufact. 23(5), 1893–1902 (2012). https://doi.org/10.1007/s10845-011-0506-8
3. Chaves, M.L., Vizán, A., Márquez, J.J., Ríos, J.: Inspection model and correlation functions to assist in the correction of qualitative defects of injected parts. Polym. Eng. Sci. 50(6), 1268–1279 (2010). https://doi.org/10.1002/pen.21647 , https://onlinelibrary.wiley.com/doi/abs/10.1002/pen.21647
4. Dai, Y., Zhu, K.: A machine vision system for micro-milling tool condition monitoring. Precis. Eng. 52, 183–191 (2018). https://doi.org/10.1016/j.precisioneng.2017.12.006 , http://www.sciencedirect.com/science/article/pii/S0141635917302817
5. Dunwell Tech Inc.: Dinocapture 2.0: microscope imaging software (2019). https://www.dinolite.us/dinocapture
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