METALS AND METAL MATRIX COMPOSITES |
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Visual Detection Algorithms in Vickers Hardness Test:a Review |
CAI Chenglin, LI Zexian, YIN feng*
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School of Automation and Electronic Information, Xiangtan University, Xiangtan 411105,Hunan, China |
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Abstract The Vickers hardness measurement method is one of the most commonly used methods of measuring the hardness of materials.Traditional manual measurement is not only labor-intensive but also influenced by the material surface, making it difficult to guarantee measurement accuracy. In contrast, automatic Vickers hardness measurement using image processing technology can significantly reduce labor intensity and is highly robust in complex measurement environments. The imaging, pre-processing, and acquisition of the indentation vertex position of the Vickers indentation image are key aspects of visual measurement. This paper presents the main research advances in the relevant content and analyses the characteristics and shortcomings of existing methods. It also discusses the development trends of research in this technical field.
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Published: 25 April 2023
Online: 2023-04-24
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Fund:National Natural Science Foundation for Young Scholars (61602398, U19A2083), Science and Technology Department of Hunan Province, China (2019GK4007), National Key Research and Development Program of China (2020YFA0713501), Postgraduate Scientific Research Innovation Project of Hunan Province (CX20220551), Postgraduate Scientific Research Innovation Project of Xiangtan University (XDCX2022Y084). |
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1 ISO 6507-1: 2018. Metallic materials-Vickers hardness test-Part 1: Test method. 2018. 2 De Oliveira B F, Costa P B, Gomes J F S, et al. In: Advances in visualization and optimization techniques for multidisciplinary research, Singapore, 2020, pp. 265. 3 Gadermayr M, Maier A, Uhl A. In: International Symposium on Visual Computing. Greece, 2012, pp. 468. 4 Maier A, Niederbrucker G, Stenger S, et al. Journal of Electronic Imaging, Portugal, 2012, 21(2), 021114. 5 Gadermayr M, Uhl A. In: International Conference Image Analysis and Recognition. Portugal, 2012, pp. 149. 6 Rebouças F P P, Da Silveira C T, De Albuquerque V H C, et al. Journal of Testing and Evaluation, 2010, 38 (1), 88. 7 Zhu J L, Chen W, Zhang J, et al. In: The 7th National Conference on Information Acquisition and Processing. Guilin, China, 2009, pp. 4 (in Chinese). 祝建林, 陈威, 张吉, 等. 第七届全国信息获取与处理学术会议. 桂林, 2009, pp. 4. 8 Guitang W, Jianlin Z, Peiliang C. In: 2009 Third International Sympo-sium on Intelligent Information Technology Application. China, 2009, pp. 624. 9 Yang B, Zhao X Y, Yin Y S, et al. Computer Engineering and Applications, 2006(12), 16(in Chinese). 杨波, 赵秀阳, 尹衍升, 等. 计算机工程与应用, 2006(12), 16. 10 Gadermayr M, Uhl A. In: International Conference on Image and Signal Processing. Morocco, 2012, pp. 362. 11 Gadermayr M, Maier A, Uhl A. Machine vision and Applications, 2013, 24 (6), 1183. 12 Li Z, Yin F. Measurement, 2021, 186, 110200. 13 Sugimoto T, Kawaguchi T. IEEE Transactions on Industrial Electronics, 1997, 44(5), 696. 14 Mendes V, Leta F. In: Proceedings of the XVII IMEKO World Congress. Dubrovnik, Croatia, 2003, pp. 992. 15 Leta F R, Mendes V B. Engevista, 2004, 6(2), 15. 16 Domínguez-Nicolas S, Herrera-May A, García-González L, et al. Mea-surement Science and Technology, 2020, 32 (1), 015407. 17 Macedo M, Mendes V, Conci A, et al. In: Proceedings of the 13th International Conference on Systems, Signals and Image Processin. Hungar, 2006, pp. 287. 18 Ji Y, Xu A. In: 2009 2nd International Congress on Image and Signal Processing. China, 2009, pp. 1. 19 Li Y F. Research on the application of image processing techniques in hardness measurement systems. Master's Thesis, Nanjing University of Science and Technology, China, 2009 (in Chinese) 李尤丰. 图像处理技术在硬度测量系统中的应用研究. 硕士学位论文, 南京理工大学, 2009. 20 Pan Y, Shan Y, Ji Y, et al. In: Fourth International Symposium on Precision Mechanical Measurements, International Society for Optics and Photonics. China, 2008, pp. 71304C. 21 Yao L, Fang C H. IEEE Transactions on Industrial Electronics, 2006, 53 (3), 950. 22 Yao L, Fang C H. In: 10th IEEE International Conference on Fuzzy Systems. Australia, 2001, pp. 842. 23 Wu L M, Zhou Q, Den Y H, et al. Physical and Chemical Examinations (Physics Division), 2004(1), 19(in Chinese). 吴黎明, 周曲, 邓耀华, 等. 理化检验(物理分册), 2004(1), 19. 24 Wu L M, Zhou Q, Den Y H, et al. China Mechanical Engineering, 2004(6), 30(in Chinese). 吴黎明, 周曲, 邓耀华, 等. 中国机械工程, 2004(6), 30. 25 Zhou Q, Yan G Z, Zhang Y. Acta Metrologica Sinica, 2005(3), 245(in Chinese) 周曲, 颜国正, 张翼. 计量学报, 2005(3), 245. 26 Liu W J. Vickers hardness indentation segmentation based on wavelet texture analysis. Master's Thesis, Guangdong University of Technology, China, 2011 (in Chinese) 刘文娟. 小波纹理分析及维氏硬度压痕分割应用. 硕士学位论文, 广东工业大学, 2011. 27 Coelho B, Guarda A, Faria G, et al. In: Proceedings of the International Conference on Image Processing, Computer Vision, and Pattern Recognition (IPCV). USA, 2015, pp. 249. 28 Gadermayr M, Maier A, Uhl A. In: Tenth International Conference on Quality Control by Artificial Vision, International Society for Optics and Photonics. France, 2011, pp. 80000M. 29 Gadermayr M, Maier A, Uhl A. Journal of Electronic Imaging, 2012, 21 (2), 021109. 30 Maier A, Uhl A. In: 2011 7th International Symposium on Image and Signal Processing and Analysis (ISPA). USA, 2011, pp. 295. 31 Maier A, Uhl A. In: 21st European Signal Processing Conference. Morocco, 2013, pp. 1. 32 Maier A, Uhl A. International Journal of Future Generation Communication and Networking, 2012, 5(4), 1. 33 Tanaka Y, Seino Y, Hattori K, In: XXII World Congress of the International Measurement Confederation. UK, 2018, pp.062001. 34 Tanaka Y, Seino Y, Hattori K. Measurement Science and Technology, 2019, 30(6), 065012. 35 Krizhevsky A, Sutskever I, Hinton G E. Advances in neural Information Processing Systems, 2012, 25, 1097. 36 Tanaka Y, Seino Y, Hattori K. The International Journal of Advanced Manufacturing Technology, 2020, 109 (5), 1345. 37 Dominguez-Nicolas S M, Wiederhold P. In: 2018 15th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE). Mexico, 2018, pp. 1. 38 Elizabeth I, Kumar R, Garg N, et al. MAPAN, 2019, 34(3), 317. 39 Dijmarescu M, Dijmǎrescu M, In: The 8th Edition of Modern Technologies in Industrial Engineering. Online, 2020, pp. 012026. 40 Simonyan K, Zisserman A. arXiv preprint, arXiv, 1409.1556, 2014. 41 Howard A, Zhmoginov A, Chen L C, et al. arXiv preprint, arXiv, 1801.04381, 2018. 42 Ren S, He K, Girshick R, et al. arXiv preprint, arXiv, 1506.01497, 2015. 43 Redmon J, Divvala S, Girshick R, et al. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. USA, 2016, pp. 779. 44 Long J, Shelhamer E, Darrell T. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. USA, 2015, pp. 3431. 45 Ronneberger O, Fischer P, Brox T. In: International Conference on Medical Image Computing and Computer-assisted Intervention. Germany, 2015, pp. 234. 46 Mathew M, Desappan K, Kumar S P, et al. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops. USA, 2017, pp. 11. 47 Oh S, Kim M, Kim D, et al. In: 2017 4th International Conference on Computer Applications and Information Processing Technology (CAIPT). Indonesia, 2017, pp. 1. 48 Abdelouahab K, Pelcat M, Serot J, et al. IEEE Embedded Systems Letters, 2017, 9(4), 113. 49 Wu D, Zhang Y, Jia X, et al. In: 2019 29th International Conference on Field Programmable Logic and Applications (FPL). Spain, 2019, pp. 136. |
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