对目前使用的布氏硬度测量方法进行了分析。分别阐述了传统光学测量方法、测深法、基于图像处理技术的测量方法以及基于深度学习的测量方法的优缺点。结果表明：各种测量方法都具有其各自优点，但同时也都存在局限性。传统光学测量方法需要人工操作，会有人为误差且效率较低；测深法虽被证明具有可行性，但是尚未经广泛验证。基于图像处理技术的自动测量系统在测量结果的精度和测试效率方面表现出很好优势，但对于测量表面粗糙、压痕不明显的试样依然具有局限性。随着计算机技术的发展，基于深度学习的测量方法在各个方面表现出很好的优越性，该方法将会成为未来布氏硬度自动测量系统研究的重点。

The Brinell hardness measurement methods currently used were analyzed. The advantages and disadvantages of traditional optical measurement method, depth masuring method, measurement method based on image processing technology and measurement method based on deep learning were described respectively. The results show that all kinds of measurement methods have their own advantages, but they also have limitations. The traditional optical measurement method needs manual operation, which has human error and low efficiency. Although depth measuring method has been proved to be feasible, it has not been widely verified. The automatic measurement system based on image processing technology has good advantages in the accuracy and efficiency of measurement results, but it still has limitations for samples with rough surface and no obvious indentation. With the development of computer technology, the measurement method based on deep learning shows good advantages in various aspects, and this method will become the focus of the future research on Brinell hardness automatic measurement system.