A Novel Method for Detecting the Circle on Motion-Blurred Image

As a typical feature point with the distinct advantage of being detected easily, the circle has been widely used for camera calibration and motion measurement. However, motion blur may cause a negative effect on the accuracy of the center location. In this paper, the developed method for the circle detection on motion blur image is proposed, which consists of two procedures. Wiener filtering is used to restore a degraded image in the first step. Zernike moment is utilized to subpixel central location in the second step. Image restoring simulation and center detection experiments are provided to verify the performance of the method. Results show that the clarity of the images restored by Weiner filtering is high and the circles on the restored image can be detected successfully and located accurately.