Title :
A new method for image segmentation based on fuzzy knowledge
Author :
Tresp, Christopher ; Jagar, M. ; Moser, Michael ; Hiltner, Jens ; Fathi, Madjid
Author_Institution :
Aachen Univ. of Technol., Germany
Abstract :
Within this work a method for knowledge based fuzzy image segmentation is introduced. The basic idea comes from the field of automated medical MRI segmentation where the well-known standard methods have proven insufficient to solve the task. Therefore, a method especially for the problems concerning vagueness in medical imaging has been developed. Beside the improved segmentation procedures, the development has a general impact on the conventional model of image analysis
Keywords :
biomedical NMR; fuzzy set theory; image segmentation; medical image processing; automated medical MRI segmentation; image analysis model; knowledge-based fuzzy image segmentation; magnetic resonance imaging; medical diagnostic imaging; vagueness; Biomedical imaging; Brain modeling; Computer science; Concrete; Fuzzy systems; Head; Humans; Image analysis; Image segmentation; Magnetic resonance imaging;
Conference_Titel :
Intelligence and Systems, 1996., IEEE International Joint Symposia on
Conference_Location :
Rockville, MD
Print_ISBN :
0-8186-7728-7
DOI :
10.1109/IJSIS.1996.565073
