The measurement of the surface quality and the profile preciseness is major issues in many industrial branches such that the surface quality of semi products directly affects the subsequent production steps. Although, there are many ways to obtain required data, the hardware necessary for the measurements such as 2D or 3D scanners, depending on the problem’s complexity, is too expensive. Therefore, in this paper, what we put forward as a novelty is an algorithm which is verified on the model of simple 3D scanner on the image processing basis with the resolution of 0.1 mm. There are many ways to scan surface profile; however, the image processing currently is the most trending topic in industry automation. Most importantly, in order to obtain surface images, standard high resolution reflex camera is used and thus the post processing could be realized with MatLab as the software environment. Therefore, this solution is an alternative to the expensive scanners, and single-purpose devices could be extended by many additional functions.

表面质量和轮廓精度的测量是许多工业部门的主要问题，因此半成品的表面质量直接影响后续的生产步骤。尽管有很多方法可以获取所需的数据，但是根据问题的复杂程度，测量所需的硬件（例如2D或3D扫描仪）过于昂贵。因此，在本文中，我们提出的新颖性是一种算法，该算法在图像处理的基础上以0.1 mm的分辨率在简单的3D扫描仪模型上进行了验证。扫描表面轮廓的方法有很多。但是，图像处理当前是工业自动化中最流行的主题。最重要的是，为了获得表面图像，使用标准的高分辨率反光照相机，因此可以使用MatLab作为软件环境来实现后处理。因此，该解决方案可以替代昂贵的扫描仪，并且可以通过许多其他功能来扩展单用途设备。