Research of Sub-Pixel Inner Diameter Measurement of Workpiece Based on OpenCV

Xuefei Yan, Gang Jing, Ming-Gao Cao, Chao Zhang, Yan Liu, Xiaohao Wang
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引用次数: 2

Abstract

A method of untouched measurement based on OpenCV is proposed to achieve the sub-pixel inner diameter Measurement of workpiece. Design and implement a visual measurement system on the inner diameter Measurement of workpiece. In the image, the grayscale of the noise and the aim is very close and very hard to be separated by the right threshold. To this difficult point, a method of two thresholds in two steps is proposed. First, remove the background noise with a smaller threshold; second, get the binarization image close to the real contour of the aim with a bigger threshold. The system deals with the image binarization, the interception of region of interest, contour extraction and so on, finally achieves the high-precision inner diameter measurement of workpiece. Repeat the measurement many times of the workpiece in different place in the field of view, the experimental results show that the consistency of the method is better than the HALCON machine vision software.
基于OpenCV的工件亚像素内径测量研究
提出了一种基于OpenCV的非接触式测量方法,实现了工件亚像素内径的测量。设计并实现了一个工件内径测量可视化测量系统。在图像中,噪声和目标的灰度值非常接近,很难用合适的阈值进行分离。针对这一难点,提出了两步双阈值法。首先,用较小的阈值去除背景噪声;其次,以较大的阈值得到接近目标真实轮廓的二值化图像;该系统对图像进行二值化、感兴趣区域截取、轮廓提取等处理,最终实现了工件内径的高精度测量。对视场内不同位置的工件重复测量多次,实验结果表明,该方法的一致性优于HALCON机器视觉软件。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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