基于双目视觉的玻璃料滴体积测量方法

针对目前玻璃料滴常规称量方法测量效率低且受环境影响较大的问题, 提出一种基于双目视觉的非接触式测量方法. 搭建双目视觉系统, 对采集的图像进行滤波去噪和特征轮廓提取, 基于融合料滴图像梯度信息的Census变换立体匹配算法得到边缘信息完整的视差图. 分别分析发生相机平面方向偏转和相机景深方向偏转的料滴对水平切片法精度的影响, 首先采用最小外接矩形算法对发生相机平面方向偏转的料滴进行校正, 然后利用视差信息修正发生相机景深方向偏转的料滴, 最后基于水平切片法累加水平切片获得料滴体积及质量. 实验结果验证, 该方法对发生空间偏转的料滴也能达到精度标准, 能够满足玻璃瓶生产的需求.

Measurement Method of Glass Gob Volume Based on Binocular Vision

Given that the conventional method of weighing glass gobs has a low measurement efficiency and is greatly influenced by the environment, this study proposes a non-contact measurement method based on binocular vision. For this purpose, a binocular vision system is built to filter and de-noise the collected images and extract their feature contours. A disparity map with complete edge information is obtained with the Census transform-based stereo matching algorithm integrating the gradient information of the gob images. The influences of gobs deflecting along the directions of the camera plane and the camera depth of focus, respectively, on the precision of horizontal slicing are analyzed. Specifically, the minimum bounding rectangle algorithm is utilized to correct gobs deflecting along the direction of the camera plane. Then, disparity information is used to correct gobs deflecting along the other direction. Finally, horizontal slices are accumulated through horizontal slicing to obtain the gob volume and mass. The experimental results show that the proposed method also reaches the precision standard on gobs with spatial deflection and it thus meets the demand of glass bottle production.