2019/10/03 by Mikhail Chekanov, Chekanov, Mikhail O., Oleg Shipitko +3
Computer Science · Engineering · Medicine · #Advanced X-ray and CT Imaging #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Medical Image Segmentation Techniques #Medical Imaging Techniques and Applications
paper · pdf · doi:10.48550/arxiv.1910.01681
openalex publication_date 2019/10/03 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
This paper proposes a RANSAC-based algorithm for determining the axial\nrotation angle of an object from a pair of its tomographic projections. An\nequation is derived for calculating the rotation angle using one correct\nkeypoints correspondence of two tomographic projections. The proposed algorithm\nconsists of the following steps: keypoints detection and matching, rotation\nangle estimation for each correspondence, outliers filtering with the RANSAC\nalgorithm, finally, calculation of the desired angle by minimizing the\nre-projection error from the remaining correspondences. To validate the\nproposed method an experimental comparison against methods based on analysis of\nthe distribution of the angles computed from all correspondences is conducted.\n