IMAGE ANALYSIS BASED ON FUZZY KNOWLEDGE-Reference-Cited by-同舟云学术

IMAGE ANALYSIS BASED ON FUZZY KNOWLEDGE

Published:1998-03 Issue:01 Volume:07 Page:43-57
ISSN:0218-2130
Container-title:International Journal on Artificial Intelligence Tools
language:en
Short-container-title:Int. J. Artif. Intell. Tools

Author:

JÄGER MARKUS¹,HILTNER JENS¹,TRESP CHRISTOPHER²,MOSER MICHAEL³

Affiliation:

1. University of Dortmund, Department of Computer Science, LS I, 44221 Dortmund, Germany

2. Aachen University of Technology, LuFG Theoretical Computer Science 52056 Aachen, Germany

3. Vitronic Bildverarbeitungssysteme GmbH, 65189 Wiesbaden, Germany

Abstract

Within this work a method for knowledge based fuzzy image segmentation, description and recognition 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 central aspect of the improved segmentation procedures, the development has a general impact on the conventional model of image analysis, that includes object description and recognition.

Publisher

World Scientific Pub Co Pte Lt

Subject

Artificial Intelligence,Artificial Intelligence

Link

https://www.worldscientific.com/doi/pdf/10.1142/S0218213098000044

Reference5 articles.

1. Fuzzy sets

2. An Overview of the KL-ONE Knowledge Representation System*

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