Study of Keypoints Detectors and Descriptors Performance on X-Ray Images Compared to the Visible Light Spectrum Images

Study of Keypoints Detectors and Descriptors Performance on X-Ray Images Compared to the Visible Light Spectrum Images

In this work, we study the performance of wide-used keypoints detection and description algorithms: Scale-Invariant Feature Transform (SIFT), Speeded Up Robust Features (SURF), Oriented FAST and Rotated BRIEF (ORB), Binary Robust Invariant Scalable Keypoints(BRISK), Accelerated KAZE(AKAZE), which we...

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Bibliographic Details
Main Authors: Mikhail Chekanov, Oleg Shipitko, Natalia Skoryukina
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Keypoints
repeatability
robustness
digital X-ray images
computed tomography
CT
Online Access:https://ieeexplore.ieee.org/document/9734049/

Internet

https://ieeexplore.ieee.org/document/9734049/

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