Hough Circle Detection Method for Shaking Instruments in Drilling Field
Bo Ma, Hailong Liu, Qizhi Zhang · 2021
At present, the real-time performance of data acquisition has become the key to the development of intelligent drilling. Due to the limitation of stay wire and power supply, the stability of data transmission is not high. In view of the data cannot be collected effectively, machine vision is introduced into the drilling field to automatically judge and read the instruments, there are often fuzzy images of vibration instability in the acquired instrument images. By analyzing the reasons and rules of instrument jitter, a new scheme is proposed. The dithering image is blurred by Wiener filter, and the template matching is made for the initial frame picture. The disc and the center of the circle are obtained from the matched stable image by improved Hough transform, and then they are drawn on the deblurring image. The experiment shows that the error of the circle obtained in this scheme is more stable than the traditional algorithm.