Citation
Lana Serrano, Sara and Villena Román, Julio and González Cristóbal, José Carlos and Goñi Menoyo, José Miguel
(2008).
MIRACLE at ImageCLEFannot 2008: Classification of Image Features for Medical Image Annotation.
In: "9th Workshop of the Cross-Language Evaluation Forum, CLEF 2008", 17/09/2008-19/09/2008, Aarhus, Dinamarca. ISBN 2-912335-43-4.
Abstract
This paper describes the participation of MIRACLE research consortium at the ImageCLEF Medical Image Annotation task of ImageCLEF 2008. A lot of effort was invested this year to develop our own image analysis system, based on MATLAB, to be used in our experiments. This system extracts a variety of global and local features including histogram, image statistics, Gabor features, fractal dimension, DCT and DWT coefficients, Tamura features and coocurrency matrix statistics. Then a k-Nearest Neighbour algorithm analyzes the extracted image feature vectors to determine the IRMA code associated to a given image. The focus of our experiments is mainly to test and evaluate this system in-depth and to make a comparison among diverse configuration parameters such as number of images for the relevance feedback to use in the classification module.
