Title
Knowledge-based segmentation for automatic Map interpretation
Author
den Hartog, J.
ten Kate, T.
Gerbrands, J.
Technisch Physische Dienst TNO - TH
Contributor
Tombre, K. (editor)
Kasturi, R. (editor)
Publication year
1996
Abstract
In this paper, a knowledge-based framework for the top-down interpretation and segmentation of maps is presented. The interpretation is based on a priori knowledge about map objects, their mutual spatial relationships and potential segmentation problems. To reduce computational costs, a global segmentation is used when possible, but an applicable top-down segmentation strategy is chosen when errors in the global segmentation are detected. The interpretation system has been tested on utility maps and the experiments show that when a top-down resegmentation strategy is used to correct errors in the global segmentation, the recognition performance is improved significantly. © Springer-Verlag Berlin Heidelberg 1996.
Subject
Informatics
Image segmentation
Pattern recognition
Computational costs
Global segmentation
Interpretation systems
Knowledge based framework
Map interpretation
Priori knowledge
Spatial relationships
Top-down interpretation
Knowledge based systems
To reference this document use:
http://resolver.tudelft.nl/uuid:f621953d-b1db-40fa-93e0-490f4207eafd
TNO identifier
530262
Publisher
Springer Verlag
ISBN
3540612262
ISSN
0302-9743
Source
1st International Workshop on Graphics Recognition, 1995, 10 August 1995 through 11 August 1995, 1072, 159-178
Series
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Document type
conference paper