Circular Target Image Orientation and Normalized Rotation
In the process of image registration,it is common for the image to have a certain angle rotation,which will cause difficulties in subsequent visual tasks.At the same time,since the circular target image does not have obvious outer contour positioning information,the detection difficulty increases when it is rotated at a certain angle.In this paper,a variety of circular target images are used as research objects,and the common circle positioning algorithms and rotation angle de-tection algorithms are studied.The experimental results show that the error of circle positioning by the least squares method is the smallest,the rotation angle detection algorithm based on Zernike moment can achieve high detection accuracy while taking into account speed.
circular target imagecircle positioningImage rotationnormalized rotationZernike moment
万方数据
维普
