A new method for image segmentation based on fuzzy knowledge

Authors:
C. Tresp;M. Jagar;M. Moser;J. Hiltner;M. Fathi
Affiliations:
-;-;-;-;-
Venue:
IJSIS '96 Proceedings of the 1996 IEEE International Joint Symposia on Intelligence and Systems
Year:
1996

Citing 0
Cited 1

Extending case-based reasoning by discovering and using image features in IVF

SAC '00 Proceedings of the 2000 ACM symposium on Applied computing - Volume 1

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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.