High-resolution reconstruction by feature distance minimization from multiple views of an object
2015 (English)In: Proc. 5th International Conference on Image Processing Theory, Tools and Applications, Piscataway, NJ: IEEE , 2015, 29-34 p.Conference paper (Refereed)
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.
High-resolution reconstruction; Energy minimization; Image registration; Defuzzification
Medical Image Processing
Research subject Computerized Image Processing
IdentifiersURN: urn:nbn:se:uu:diva-267295DOI: 10.1109/IPTA.2015.7367090ISI: 000380472700003ISBN: 9781479986361OAI: oai:DiVA.org:uu-267295DiVA: diva2:872660
IPTA 2015, November 10–13, Orléans, France