Using vague knowledge for image description

Author

Fathi, Madjid ; Hiltner, Jens ; Reusch, Bernd

Author_Institution

Dept for Comput. Sci. & Comput Eng., Dortmund Univ., Germany

Volume

4

fYear

1998

fDate

11-14 Oct 1998

Firstpage

4120

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man, and Cybernetics, 1998. 1998 IEEE International Conference on

Conference_Location

San Diego, CA

ISSN

1062-922X

Print_ISBN

0-7803-4778-1

Type

conf

DOI

10.1109/ICSMC.1998.726735

Filename

726735