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High-resolution reconstruction by feature distance minimization from multiple views of an object
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis and Human-Computer Interaction.
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2015 (English)In: Proc. 5th International Conference on Image Processing Theory, Tools and Applications, Piscataway, NJ: IEEE , 2015, 29-34 p.Conference paper, Published paper (Refereed)
Abstract [en]

We present a method which utilizes advantages of fuzzy object representations and image processing techniques adjusted to them, to further increase efficient utilization of image information. Starting from a number of low-resolution images of affine transformations of an object, we create its suitably defuzzified high-resolution reconstruction. We evaluate the proposed method on synthetic data, observing its performance w.r.t. noise sensitivity, influence of the number of used low-resolution images, sensitivity to object variation and to inaccurate registration. Our aim is to explore applicability of the method to real image data acquired by Transmission Electron Microscopy, in a biomedical application we are currently working on.

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE , 2015. 29-34 p.
Keyword [en]
High-resolution reconstruction; Energy minimization; Image registration; Defuzzification
National Category
Medical Image Processing
Research subject
Computerized Image Processing
Identifiers
URN: urn:nbn:se:uu:diva-267295DOI: 10.1109/IPTA.2015.7367090ISI: 000380472700003ISBN: 9781479986361 (print)OAI: oai:DiVA.org:uu-267295DiVA: diva2:872660
Conference
IPTA 2015, November 10–13, Orléans, France
Funder
VINNOVA
Available from: 2016-01-12 Created: 2015-11-19 Last updated: 2016-08-24Bibliographically approved

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Sladoje, NatašaSuveer, AmitSintorn, Ida-Maria

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CiteExportLink to record
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Citation style
  • apa
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  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
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Output format
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  • text
  • asciidoc
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