Steel bars counting method based on image and video processing

Motivated by the security problems caused by the shortage of reinforcement quantity and the sparse distribution of steel bars, this paper proposes a novel steel bars counting method based on machine vision which focus on processing videos and images to obtain the quantity of steel bars. Firstly, we use image capture technology to convert the video into an image. Then preprocessing and edge detection of the above images are used to set up the region of interest through template matching. Finally, we use the Hough transform line detection technique to extract the lines and get the number of bars in the calibration area or in the entire video. Experiments show that the accuracy ratio of steel bars counting is up to 100%, and at the same time this method can detect a many steel bars in the video rapidly, reducing the workload of people.