基于计算机视觉的管壳表面划痕检测技术研究

Detecting technology of scratches on pipe surface based on computer vision

针对火工品管壳表面划痕人工检测工作量大、较为繁琐且人为误差较大的状况,将计算机视觉技术用于微小管壳表面划痕的检测分析中,在数字图像处理技术的基础上,应用二值图像轮廓提取的方法得到划痕的特征参数,根据形态学知识对零件表面划痕的形态特征进行比较分析。实验结果表明,通过将划痕显微图像中面积、短长径比等参数提取出来作为检测的依据,不但可以有效地克服现有的人工视觉检测方法的缺陷,而且稳定性和准确度也得到了提高。

Since the traditional manual method to detect the scratches of small size pipe is complicated and may produce big human errors, a computer vision technology is adopted for the analysis and recognition of the scratches on the small size pipe surface, which uses the contour extraction of binary image to get the feature parameters of the scratches and analyzes them based on morphology. This method enables the features parameters, such as the area and the shortlong diameter ratio, to be extracted for identifying the scratches. It can effectively overcome the shortcomings of the traditional method, improve the stability and accuracy of the detection.