IMAGE REPRESENTATION USING PHOTONS

Andreea-Mihaela Pintilie (), Mihai Zaharescu and Ion Bucur ()
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Andreea-Mihaela Pintilie: University “Politehnica” of Bucharest
Mihai Zaharescu: University “Politehnica” of Bucharest
Ion Bucur: University “Politehnica” of Bucharest

Journal of Information Systems & Operations Management, 2013, vol. 7, issue 2, 229-238

Abstract: Genetic brain maps can help physicians to discover patterns of brain structure and how it changes in disease or reacts to medication. In order to generate a brain map, an image model is needed. A much discussed subject, nowadays, is the subject of improving images obtained from devices like MRI, PET, CT etc. In medical area there is a need to improve image segmentation and image resolution; images might be blurred or might contain noise due to the patient’s movement during the process of acquiring them. Imaging studies of the human brain at active medical institutions today routinely accumulate more than 5 terabytes of clinical data per year. The present paper concentrates on neurological field: brain imaging and on genetic field based on the results of the brain imaging. This paper proposes a new medical image format representation, using photons, a tree-like structure in order to improve the inefficiency problem on large medical datasets and an algorithm for eliminating noise from images.

Keywords: Image representation; medical image acquisition; image formats; raster images; vector images; photon images; quad trees; binarization; segmentation; edge detection (search for similar items in EconPapers)
Date: 2013
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