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Sidhom, S.: Numerical training for the information retrieval in medical imaginery : modeling of the Gabor filters (2014)
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- 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.
- Date
- 5. 9.2014 18:22:35
- 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
- Type
- a
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Sidhom, S.; Hassoun, M.: Morpho-syntactic parsing to text mining environment : NP recognition model to knowledge visualization and information (2003)
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Sidhom, S.; Hassoun, M.: Morpho-syntactic parsing for a text mining environment : An NP recognition model for knowledge visualization and information retrieval (2002)
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