STUDY OF NEUROBIOLOGICAL IMAGES BASED ON ONTOLOGIES USED IN SUPER-RESOLUTION ALGORITHMS

Andreea-Mihaela Pintilie () and Costin-Anton Boiangiu ()
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Andreea-Mihaela Pintilie: University “Politehnica” of Bucharest
Costin-Anton Boiangiu: University “Politehnica” of Bucharest

Journal of Information Systems & Operations Management, 2013, vol. 7, issue 2, 300-308

Abstract: This paper focuses on the applicability of ontologies in medical image processing area. Techniques for automatically describing medical images in a medical language that doctors can operate with are presented. Super resolution algorithms are also highlighted in order to prove their superiority over usual interpolation methods on medical images. At the end, a set of experimental results regarding ontologies are offered.

Keywords: Neurobiological image; medical image; ontology; super resolution (search for similar items in EconPapers)
Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:rau:jisomg:v:7:y:2013:i:2:p:300-308

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