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.
通讯作者:
*印峰,湘潭大学自动化与电子信息学院副教授、硕士研究生导师。2004年于湘潭大学自动化专业本科毕业,分别于2008年、2013年在湖南大学电气工程专业、控制科学与工程专业取得硕士与博士学位。目前主要从事图像处理、深度学习等方面的研究工作。已在《自动化学报》、Measurement、IEEE Transactions on Instrumentation and Mea-surement等期刊上发表论文10余篇。yinfeng83@126.com
作者简介: 蔡成林,湘潭大学自动化与电子信息学院教授,博士研究生导师。1991年于湖南人文科技学院物理专业本科毕业,分别于2004年、2010年在中国科学院研究生院天体测量与天体力学专业取得硕士、博士学位。目前主要从事GNSS导航定位与无线通信等方面的研究工作。已在《测绘学报》、IEEE Transactions on Instrumentation and Measurement、IEEE Internet of Things Journal 等多个期刊上发表论文20余篇。
引用本文:
蔡成林, 李泽贤, 印峰. 维氏硬度试验中的视觉检测算法研究综述[J]. 材料导报, 2023, 37(8): 21070036-10.
CAI Chenglin, LI Zexian, YIN feng. Visual Detection Algorithms in Vickers Hardness Test:a Review. Materials Reports, 2023, 37(8): 21070036-10.
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2023, Vol. 37 
