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4 January 2021 Artifacts suppression in biomedical images using a guided filter
I. Bukreeva, A. Ingacheva, M. Fratini, A. Cedola, O. Junemann, E. Longo, F. Wilde, J. Moosmann, A. Buzmakov, Y. Krivonosov, D. Zolotov, S. Saveliev, V. Asadchikov, M. Chukalina
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Proceedings Volume 11605, Thirteenth International Conference on Machine Vision; 116050S (2021) https://doi.org/10.1117/12.2587571
Event: Thirteenth International Conference on Machine Vision, 2020, Rome, Italy
Abstract
Despite significant progress in computer vision, pattern recognition, and image analysis, artifacts in imaging still hampers the progress in many scientific fields relying on the results of image analysis. We here present an advanced image-based artifacts suppression algorithm for high-resolution tomography. The algorithm is based on guided filtering of a reconstructed image mapped from the Cartesian to the polar coordinates space. This postprocessing method efficiently reduces both ring- and radial streak artifacts in a reconstructed image. Radial streak artifacts can appear in tomography with an off-center rotation of a large object over 360 degrees used to increase the reconstruction field of view. We successfully applied the developed algorithm for improving x-ray phase-contrast images of human post-mortem pineal gland and olfactory bulbs.
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
I. Bukreeva, A. Ingacheva, M. Fratini, A. Cedola, O. Junemann, E. Longo, F. Wilde, J. Moosmann, A. Buzmakov, Y. Krivonosov, D. Zolotov, S. Saveliev, V. Asadchikov, and M. Chukalina "Artifacts suppression in biomedical images using a guided filter", Proc. SPIE 11605, Thirteenth International Conference on Machine Vision, 116050S (4 January 2021); https://doi.org/10.1117/12.2587571
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