Volume 34 #2

Contents

1. Assessment of visual sensations of color changes on chronic pain patients during empatho-technique sessions
2. CONTACT LENS WITH IMPLANTED OCCLUDER AS A TOOL FOR ASSESSMENT OF FAR PERIPHERAL VISION IN NATURAL VIEWING CONDITIONS
3. Psychoacoustic and electrophysiological parameters in patients after cochlear implantation
4. Threshold loudness’ changes for the first and last pulse in sequence in listeners with normal hearing and hearing losуs
5. Maximal directions discrepancy as accuracy criterion of images projective normalization for optical text recognition
6. CT-images correction method for binarization quality improvement
7. Study of impact of X-Ray imagery nature on keypoints detection and description quality

In this work, we study the quality of keypoints detection and description algorithms (SIFT, SURF, ORB, BRISK, AKAZE) when working with digital X-ray and visible spectrum images. We also compare the quality metrics of algorithms when working with images of different spectra and robustness of algorithms to various image transformations. The quality of the algorithms is tested on images of the same object taken in the visible and X-ray spectra. Geometrical transformations (rotation, shearing, scaling), linear color transformations, Gaussian blur are applied to the images. Then the detection and description algorithms are applied to the original and transformed images. The repeatability and number of corresponding points are calculated for detection algorithms. The ratio of correctly matched descriptors as well as the ratio of the distances between query descriptor, the nearest descriptor, and the second nearest descriptor. The algorithms showed different behavior on different spectra. SURF has demonstrated to be the best X-ray keypoint detector, and AKAZE has become the best detector in the visible spectrum. SIFT is the best descriptor in both spectra. The strong and weak points of each algorithm are also discussed in the paper.

Key words: keypoint, keypoint detector, keypoint descriptor, repeatability, digital X-ray image

DOI: 10.31857/S023500922002002X

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