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.