基于包装件智能分拣的视觉尺寸测量技术

目的快速实现包装纸箱尺寸的机器视觉测量。方法采用机器视觉技术方法,运用双目摄像机的成像原理,通过SUSAN角点提取算法结合棋盘标定法求取摄像机内外参数,修正图像畸变,采用SIFT匹配算子对左右2幅图像进行匹配,找到对应的匹配特征点,利用匹配点对的视差值恢复图像深度信息,进而求解出包装箱的长宽高值。结果对不同摆放姿态的包装箱均能实现快速测量,机器视觉检测值与实物值相比,其误差均在1 cm左右,满足检测要求。结论文中方法具有匹配精度高、鲁棒性强的特点,能快速实现对不同摆放姿态的包装箱尺寸测量。

Vision Size Measurement Technology of Packaging Parts Based on Intelligent Sorting

The work aims to rapidly realize the machine vision measurement of the size of packaging boxes. Based on machine vision technology, according to the imaging principle of binocular camera, the SUSAN corner extraction algorithm combined with checkerboard calibration method was used to obtain the internal and external parameters of camera and image distortion correction. The two images on the left and right were matched by the SIFT matching operator. The corresponding matched feature points were found. The parallax values of matching point pairs were used to restore the image depth information, thus calculating the length, width and height of the packaging box. The result showed that the packaging boxes of different postures could be rapidly measured. Compared with the physical value, the error of machine vision detection value was about 1 cm, meeting the detection requirements. Featured by high matching accuracy and strong robustness, etc., the proposed method can rapidly measure the size of packaging boxes of different postures.