http://www.cnr.it/ontology/cnr/individuo/prodotto/ID281734
A methodological approach for combining super-resolution and pattern-recognition to image identification (Articolo in rivista)
- Type
- Label
- A methodological approach for combining super-resolution and pattern-recognition to image identification (Articolo in rivista) (literal)
- Anno
- 2014-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.1134/S1054661814020023 (literal)
- Alternative label
D'Acunto M., Pieri G., Righi M., Salvetti O. (2014)
A methodological approach for combining super-resolution and pattern-recognition to image identification
in Pattern recognition and image analysis
(literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- D'Acunto M., Pieri G., Righi M., Salvetti O. (literal)
- Pagina inizio
- Pagina fine
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
- http://link.springer.com/article/10.1134%2FS1054661814020023 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
- Rivista
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroFascicolo
- Note
- Scopu (literal)
- PuMa (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- CNR-ISM, Roma, Italy and CNR-ISTI, Pisa, Italy; CNR-ISTI, Pisa, Italy; CNR-ISTI, Pisa, Italy; CNR-ISTI, Pisa, Italy; (literal)
- Titolo
- A methodological approach for combining super-resolution and pattern-recognition to image identification (literal)
- Abstract
- In questo lavoro sono stati applicati alcuni metodi di pattern recognition combinati con metodi di super-risoluzione per identificare componenti di sistemi biologiici, in particolare cellule, le cui immagini sono state acquisite con microscopi a forza atomica. (literal)
- Image acquisition systems integrated with laboratory automation produce multi-dimensional datasets. An effective computational approach for automatic analysis of image datasets is given by pattern recognition methods; in some cases, it can be advantageous to accomplish pattern recognition with image super-resolution procedures. In this paper, we define a method derived from pattern recognition techniques for the recognition of artefacts and noise on set of images combined with super resolution algorithms. The advantage of our approach is automatic artefacts recognition, opening the possibility to build a general framework for artefact recognition independently by the specific application where it is used (literal)
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