LIP6 2000/021

• Thesis «Représentation de la variabilité dans le traitement d'images flou»
• A. Rick
• 150 pages - 12/17/1999 - document en - http://www.lip6.fr/lip6/reports/2000/lip6.2000.021.pdf 2,762 Ko
• Contact rickand (at) nullgemse.fr
• Ancien Thème : APA
One of the most important factors, which limit the performance of classifiers in many image processing tasks, is the variability. In this thesis, we will propose a new method to reduce the effect of variability in a fuzzy classification system for image processing by using the context in the image. The method consists of the following steps: - Parameterization of the histograms of all the attributes that are calculated on the images for the classification task which gives a compact description with a small number of parameters. - Conctruction of a prototype which includes the variability and the interactions between the parameters using the learning database. - Adaptation of the model to the current case by adapting the parameters of the prototype. The proposed method is applied to a synthetic data base and to a database of mammography images for the detection of dense lesions.