Using vague knowledge for image description
Madjid Fathi, Jens Hiltner, Bernd Reusch · 2002
Fuzzy logic in the field of image processing is becoming more and more important. Image quality is improving, but data contains different kinds of uncertainty which have to be handled using computerized analysis. These uncertainties can be found particularly in medical image data. In this paper, the handling of such uncertainties using methods such as the natural language of medical experts and iconic fuzzy sets for the description and recognition of anatomical structures in magnetic resonance tomograms (MRT) of human heads are presented.