Title: Fuzzy image inpainting aimed to medical images
Authors: Vlašánek, Pavel
Citation: WSCG 2018: full papers proceedings: 26th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision in co-operation with EUROGRAPHICS Association, p. 59-66.
Issue Date: 2018
Publisher: Václav Skala - UNION Agency
Document type: konferenční příspěvek
URI: wscg.zcu.cz/WSCG2018/!!_CSRN-2801.pdf
ISBN: 978-80-86943-40-4
ISSN: 2464–4617 (print)
2464–4625 (CD-ROM)
Keywords: inpainting obrazů;fuzzy transformace;klastrování
Keywords in different language: image inpainting;fuzzy transform;clustering
Abstract: This paper focuses on a reconstruction of low color depth images using fuzzy mathematics. For demonstration purposes, we chose medical images taken from magnetic resonance imaging (MRI) and computed tomography (CT). The proposed technique is based on idea of diffusion where pixels surrounding damaged region are used to determine the corrupted ones. As it is illustrated, the classical diffusion techniques are not so effective. In the paper, we describe the reason why and propose the solution in a form of the new algorithm. The algorithm is demonstrated and visually compared with another ones.
Rights: © Václav Skala - UNION Agency
Appears in Collections:WSCG 2018: Full Papers Proceedings

Files in This Item:
File Description SizeFormat 
Vlasanek.pdfPlný text2,08 MBAdobe PDFView/Open

Please use this identifier to cite or link to this item: http://hdl.handle.net/11025/34625

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.