LINGUISTIC DESCRIPTION OF PATTERNS FROM MINED IMAGES

Hema Nair, Ian Chai

Abstract

The objective of this paper is to propose an approach to describe patterns in remote-sensed images utilising fuzzy logic. The general form of a linguistically quantified proposition is “QY’s are F” where Q is a fuzzy linguistic quantifier, Y is a class of objects and F is a summary that applies to that class. The truth of such a proposition can be determined for each object characterised by a tuple in the database. Fuzzy descriptions of linguistic summaries help to evaluate the degree to which a summary describes an object or pattern in the image. A genetic algorithm technique is used to obtain optimal solutions that describe all the objects or patterns in the database. Image mining is used to extract unusual patterns from multi-dated satellite images of a geographic area.

References

  1. Buckles, B.P, Petry, F.E, Prabhu, D, Lybanon,M., 1996. Mesoscale Feature Labeling from Satellite Images. In Genetic Algorithms for Pattern Recognition, eds. Sankar K.Pal, Paul P. Wang, CRC Press, pp. 167-175.
  2. Filho, J.L.R, Treleaven, P.C, Alippi, C., 1994. Genetic Algorithm programming environments. In IEEE Computer, pp.28-43.
  3. Goodman, E,D., 1996. An Introduction to Galopps-the Genetic ALgorithm Optimized for Portability and Parallelism System(Release 3.2). Technical Report No. 96-07-01, Genetic Algorithms Research and Applications Group, Michigan State University.
  4. Kacprzyk, J , Ziolkowski, A., 1986. Database queries with fuzzy linguistic quantifers. In IEEE Transactions on Systems, Man and Cybernetics, pp. 474-479.
  5. Mendel, J.M., 2001. Uncertain Rule-Based Fuzzy Logic Systems: Introduction and New Directions, Prentice Hall.
  6. Motro, A., 1994 . Intensional Answers to Database Queries. In IEEE Transactions on knowledge and data engineering, pp. 444-454.
  7. Nair, H, George, R, Srikanth, R, Warsi, N.A., 1994. Intensional Answering in Databases-A Fuzzy Logic Approach. In Proceedings of Joint Conference on Information Systems.
  8. Nair, H., 2003. Developing linguistic summaries of patterns from mined images. In Proceedings of Fifth International Conference on Advances in Pattern Recognition, pp. 261-267.
  9. Research Systems Inc.,1997. ENVI Version 3.0 User's Guide. Better Solutions Consulting.
  10. Smith, R.E, Goldberg, D.E, Earickson, J.A., 1994. SGA-C:A C-language implementation of a Simple Genetic Algorithm. TCGA Report No.91002.
  11. The Mathworks Inc.,1997. MATLAB Image Processing Toolbox User's Guide.
  12. Thuraisingham, B., 2001. Managing and Mining Multimedia Databases, CRC Press.
  13. Yager, R.R., 1991. On Linguistic Summaries of Data. In Knowledge Discovery In Databases, eds. Gregory Piatetsky-Shapiro and William J. Frawley , AAAI Press, pp.347-363.
  14. Zaine, O.R, Han, J, Li, Z.N, Hon, J., 1998. Mining multimedia data. In CASCON'98, Meeting of Minds.
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Paper Citation


in Harvard Style

Nair H. and Chai I. (2004). LINGUISTIC DESCRIPTION OF PATTERNS FROM MINED IMAGES . In Proceedings of the Sixth International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 972-8865-00-7, pages 77-83. DOI: 10.5220/0002595900770083


in Bibtex Style

@conference{iceis04,
author={Hema Nair and Ian Chai},
title={LINGUISTIC DESCRIPTION OF PATTERNS FROM MINED IMAGES},
booktitle={Proceedings of the Sixth International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2004},
pages={77-83},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002595900770083},
isbn={972-8865-00-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Sixth International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - LINGUISTIC DESCRIPTION OF PATTERNS FROM MINED IMAGES
SN - 972-8865-00-7
AU - Nair H.
AU - Chai I.
PY - 2004
SP - 77
EP - 83
DO - 10.5220/0002595900770083