X-ray and Visible Spectra Circular Motion Images Dataset
Mikhail Chekanov, Oleg Shipitko

TL;DR
This paper introduces a dataset of 400 X-ray and visible spectrum images of a rotating plastic object, aimed at evaluating circular motion estimation and analyzing the impact of spectral differences on image analysis algorithms.
Contribution
The paper provides a novel dataset of synchronized X-ray and visible spectrum images for circular motion analysis and algorithm evaluation.
Findings
Dataset enables assessment of motion estimation algorithms.
Highlights spectral influence on keypoints detection.
Supports cross-spectrum image analysis research.
Abstract
We present the collections of images of the same rotating plastic object made in X-ray and visible spectra. Both parts of the dataset contain 400 images. The images are maid every 0.5 degrees of the object axial rotation. The collection of images is designed for evaluation of the performance of circular motion estimation algorithms as well as for the study of X-ray nature influence on the image analysis algorithms such as keypoints detection and description. The dataset is available at https://github.com/Visillect/xvcm-dataset.
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Taxonomy
TopicsMedical Image Segmentation Techniques · Radiomics and Machine Learning in Medical Imaging · Image Retrieval and Classification Techniques
