WITHDRAWN: Image quality enhanced recognition of laser cavity based on improved random hough transform

Abstract The tedious measurement of arc parts with low accuracy is serious problem in the traditional industrial measurement. In this paper, the method for the image quality enhanced recognition with digital image processing technology is developed by changing the direct detection of arc parts of the laser cavity into the detection of contour curve in the image. A circular arc fitting algorithm based on the improved random hough transform (RHT) is proposed to improve the disadvantages of RHT such as strong noise disturbance, high requirements for the extraction of contour continuity and slow calculation speed. The differences between the distance from the center of the fitting circle to all points in the testing area and the fitting radius were calculated. The minimum value was obtained to determine the optimal fitting circular arc. The algorithm is tested and applied to detect the actual workpiece. It is demonstrated that the accuracy and speed of cavity detection are much better by comparision with the traditional algorithm by the proposed improved algorithm.