Abstract
In this paper we describe the implementation of a semi-automatic conversion system for utility maps, as developed in the Dutch TopSpin-PNEM project “Knowledge-based conversion of utility maps”. Besides a short description of the overall system architecture, which is presented in more detail in [8], we will focus in this paper on the interpretation part, i.e. its current status and recent improvements. As part of this discussion we elaborate on the knowledge representation and the interpretation mechanism, propose a new concept to handle multiple detectors, introduce a new judgment procedure of instances of map objects and show the necessity of explicitly specified conflict rules.
Preview
Unable to display preview. Download preview PDF.
References
E. Breen and D. Monro. An evaluation of priority queues for mathematical morphology. In J. Serra and P. Soille, editors, Mathematical morphology and its applications to image processing, pages 249–256. Kluwer Academic Publishers, 1994.
Leo Breiman. Bias, variance, and arcing classifiers. Technical Report 460, Statistics Department, University of California, Berkeley, CA. 94720, April 1996.
J.P. de Knecht, J.G.M. Schavemaker, M.J.T. Reinders, and A.M. Vossepoel. Utility map reconstruction. Accepted for the IEEE Document Image Analysis Workshop, Puerto Rico, June 1997.
J.E. den Hartog and T.K. ten Kate. Finding arrows in utility maps using a neural network. In Proc. of the 12th IAPR Int. Conf. on Pattern Recognition (Jeruzalem), pages 190–194, October 1994.
Paul D. Gader, Magdi A. Mohammed, and James M. Keller. Fusion of handwritten word classifiers. Pattern Recognition Letters, 17:577–584, 1996.
Michel Grabisch. The representation of importance and interaction of features by fuzzy measures. Pattern Recognition Letters, 17:567–575, 1996.
H. Niemann, G.F. Sagerer, S. Schroder, and F. Kummert. ERNEST: A semantic network system for pattern understanding. IEEE Trans. Pattern Analysis and Machine Intelligence, 12(9):883–905, September 1990.
A.W.M. Smeulders and T.K. ten Kate. Systems for map interpretation: methods engineering. In International Workshop on Graphics Recognition, pages 110–115. IAPR, August 1995.
D.F. Stubbs and N.W. Webre. Data Structures with Abstract Data Types and Pascal. Brooks/Cole Publishing Company, Montery, Canada, 1984.
Kagan Turner and Joydeep Ghosh. Bayes error rate estimation through classifier combining. Technical Report TR-96-01-101, The Computer and Vision Research Center, The University of Texas at Austin, http://www.lans.ece.utexas.edu/, 1996.
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 1998 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Schavemaker, J.G.M., Reinders, M.J.T. (1998). Information fusion for conflict resolution in map interpretation. In: Tombre, K., Chhabra, A.K. (eds) Graphics Recognition Algorithms and Systems. GREC 1997. Lecture Notes in Computer Science, vol 1389. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-64381-8_52
Download citation
DOI: https://doi.org/10.1007/3-540-64381-8_52
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-64381-4
Online ISBN: 978-3-540-69766-4
eBook Packages: Springer Book Archive