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Auto-detection of strip area in 3D measurement

机译：在3D测量中自动检测带区

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摘要

3D measurement is an important task for modern manufacturing, because 2D measurement cannot meet the increasing requirements for quality control in engineering. Among all, 3D recovery methods, by using structural lighting system are the most popular methods because of its non-destructive character. The acquiring of lighting strips, which have to be projected on the object is the most important work to ensure later matching work. In the former research, the position of the stripes in the image was very difficult to locate and must be drawn manually. Therefore, the aim of our research is to find a method to auto-detect the strip area. FFT (fast Fourier transform algorithm) are used to analyze the image character by row and by column. From the FFT result, in the power spectrum the strip area and non-strip area can be distinguished clearly. So the strip area can be marked exactly on the image, and image process algorithm can be used to pick up the strips only on this area. After the matching and 3D recovery algorithm, the 3D shape of the object can be plotted. The auto-detection strip algorithm can save a lot of time for the 3D measurement, automatically complete the 3D recovery procedure, and bring convenience to operators.
机译：3D测量是现代制造业的一项重要任务，因为2D测量无法满足工程中对质量控制不断增长的要求。其中，通过使用结构照明系统的3D恢复方法由于其无损的特性而成为最受欢迎的方法。要确保以后的匹配工作，最重要的工作就是获取必须投射在对象上的照明条。在以前的研究中，图像中条纹的位置很难定位，必须手动绘制。因此，我们研究的目的是找到一种自动检测带状区域的方法。 FFT（快速傅立叶变换算法）用于按行和按列分析图像字符。根据FFT结果，在功率谱中可以清楚地区分带状区域和非带状区域。因此，可以在图像上精确标记条带区域，并且可以使用图像处理算法仅在该区域上拾取条带。在匹配和3D恢复算法之后，可以绘制对象的3D形状。自动检测条算法可以节省大量的3D测量时间，自动完成3D恢复过程，为操作人员带来方便。

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