Title :
Using vague knowledge for image description
Author :
Fathi, Madjid ; Hiltner, Jens ; Reusch, Bernd
Author_Institution :
Dept for Comput. Sci. & Comput Eng., Dortmund Univ., Germany
Abstract :
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
Keywords :
biomedical MRI; computerised tomography; fuzzy logic; fuzzy set theory; medical image processing; uncertainty handling; anatomical structure description; anatomical structure recognition; computerized analysis; fuzzy logic; human heads; iconic fuzzy sets; image description; image processing; image quality; magnetic resonance tomograms; medical expert; medical image data; natural language; uncertainty; vague knowledge; Anatomical structure; Biomedical imaging; Fuzzy logic; Fuzzy sets; Image analysis; Image processing; Image quality; Magnetic analysis; Natural languages; Uncertainty;
Conference_Titel :
Systems, Man, and Cybernetics, 1998. 1998 IEEE International Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-4778-1
DOI :
10.1109/ICSMC.1998.726735
