Please use this identifier to cite or link to this item:
https://open.uns.ac.rs/handle/123456789/5259
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lindblad J. | en |
dc.contributor.author | Sladoje N. | en |
dc.contributor.author | Suveer A. | en |
dc.contributor.author | Dragomir A. | en |
dc.contributor.author | Sintorn I. | en |
dc.date.accessioned | 2019-09-30T08:46:48Z | - |
dc.date.available | 2019-09-30T08:46:48Z | - |
dc.date.issued | 2015-12-28 | en |
dc.identifier.isbn | 9781479986354 | en |
dc.identifier.uri | https://open.uns.ac.rs/handle/123456789/5259 | - |
dc.description.abstract | © 2015 IEEE. 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. | en |
dc.relation.ispartof | 5th International Conference on Image Processing, Theory, Tools and Applications 2015, IPTA 2015 | en |
dc.title | High-resolution reconstruction by feature distance minimization from multiple views of an object | en |
dc.type | Conference Paper | en |
dc.identifier.doi | 10.1109/IPTA.2015.7367090 | en |
dc.identifier.scopus | 2-s2.0-84963800459 | en |
dc.identifier.url | https://api.elsevier.com/content/abstract/scopus_id/84963800459 | en |
dc.relation.lastpage | 34 | en |
dc.relation.firstpage | 29 | en |
item.grantfulltext | none | - |
item.fulltext | No Fulltext | - |
Appears in Collections: | FTN Publikacije/Publications |
SCOPUSTM
Citations
3
checked on May 3, 2024
Page view(s)
10
Last Week
7
7
Last month
0
0
checked on May 10, 2024
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.