Document (#38455)

Author
Sidhom, S.
Title
Numerical training for the information retrieval in medical imaginery : modeling of the Gabor filters
Source
Knowledge organization in the 21st century: between historical patterns and future prospects. Proceedings of the Thirteenth International ISKO Conference 19-22 May 2014, Kraków, Poland. Ed.: Wieslaw Babik
Imprint
Würzburg : Ergon Verlag
Year
2014
Pages
S.413-420
Series
Advances in knowledge organization; vol. 14
Abstract
We propose, in this work, a method of medical image indexing and research by exploiting their own digital component. We represent the image digital component by a vector of characteristics what we will call: numerical signature of the image. Using the Gabor wavelets, each image of the training medical base is indexed and represented by its characteristics (texture). We thus will build (in offline) a numerical data base of signature. This enables us (in online) to carry out a numerical search for similarity compared to a request image. In order to evaluate the performances we tested our application on a training mammography images basis. The results obtained show well that the representation of the digital component of the images proves to be significant as regards search for information in imagery.
Content
Vgl.: http://www.ergon-verlag.de/isko_ko/downloads/aiko_vol_14_2014_56.pdf.
Field
Medizin

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