Abstract
Semantic analysis of cartographic images is interpreted as a separate representation of cartographic patterns (alphanumeric, punctual, linear, and area). We present an approach to map interpretation exploring the idea of synthesis of invariant graphic images at low level processing (vectorization and segmentation). This means that we ran “vectorization-recognition” and “segmentation-interpretation” systems simultaneously. Although these systems can generate some errors in interpretation, they are much more useful for the following understanding algorithms because its output is nearly recognized objects of interest.
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References
Doermann, D. S.: An Introduction to Vectorization and Segmentation. In: Tombre, K., Chhabra, A.K. (eds.): Graphics Recognition Algorithms and Systems. Lecture Notes in Computer Science, Vol. 1389. Springer-Verlag, Berlin Heidelberg New York (1998) 1–8
Gonzalez, R. C., Woods, R. E.: Digital Image Processing. 3rd edn. Prentice-Hall PTR, NJ USA (2002)
Otsu, N.: A Threshold Selection Method from Gray-level Histograms. IEEE Transactions on Systems: Man and Cybernetics. 9(1) (1979) 62–66
Umbaugh, S. E.: Computer Vision and Image Processing: A Practical Approach using CVIPtools, Prentice-Hall PTR, NJ USA (1998)
Alexandrov, V. V., Gorsky, N. D.: Image Representation and Processing: A Recursive Approach. Mathematics and Its Applications, Vol. 261. Kluwer Academic Publishers, Dordrecht Boston London (1993)
Kharinov, M., Nesterov, M.: Intelligent Program for Automatic Image Recognition based on Compact Object-fitting Hierarchical Image Representation in terms of Dynamic Irregular Ramified Trees. In: Barulin, V.N. (ed.): Reports of International Academy for Informatics, Communications and Management, Special Issue 12-C. St. Petersburg, Russia (1997) 1–35 (Library of Congress Number: 98646239)
Alexandrov, V., Kharinov, M., Levachkine, S.: Conception of Hierarchical Dynamic Structure in Application to Audio and Video Data Recognition. In: Hamza, M.N. (ed.): Proc. IASTED International Conference on Artificial Intelligence and Soft Computing, ASC 2001, 21–24 May, Cancun, Mexico (2001) 348–353 (ISBN 0-88986-283-4; ISSN 1482-7913)
Levachkine, S., Velázquez, A., Alexandrov, V.: Color Image Segmentation using False Colors and its Applications to Geo-images Treatment: Alphanumeric Character Recognition. Proc. IEEE International Geosciences and Remote Sensing Symposium, IGARSS 2001, 9–13 July, Sydney, Australia (2001) (IEEE Catalog Number (CD-ROM): 01CH37217C; Library of Congress Number: 01-087978; ISBN CD-ROM: 0-7803-7033-3)
Levachkine, S., Velázquez, A., Alexandrov, V., Kharinov, M.: Semantic Analysis and Recognition of Raster-scanned Color Cartographic Images. In: Blostein, D., Young-Bin Kwon (eds.): Proc. 4th IAPR Int. Workshop on Graphics Recognition, GREC 2001, 7–8 September, Kingston, Ontario, Canada (2001) 255–266
Kumar, K. S., Desai, U. B.: Joint Segmentation and Image Interpretation. Pattern Recognition. 32(4) (1999) 577–589
Cheng, H. D., Jiang, X. H., Sun, Y., Wang, J.: Color Image Segmentation: Advances and Prospects. Pattern Recognition. 34(12) (2001) 2259–2281
Levachkine, S., Sossa, J.H.: Image Segmentation as an Optimization Problem. Computation and Systems. 3(4) (2000) 245–263 (ISSN 1405-5546)
Render, J.: Saturation, Hue, and Normalized Color: Calculation, Digitization Effects, and Use. Computer Science Technical Report. Carnegie Mellon University (1976)
Velázquez, A.: Localización, Recuperación e Identificatión de la Capa de Caracteres Contenida en los Planos Cartográficos. Ph.D. Thesis. Centre for Computing Research-IPN. Mexico City, Mexico (2002) (in Spanish)
Definiens Imaging GmbH e-Cognition: Object Oriented Image Analysis. http://www.definiens-imaging.com/ecognition/
Ogier, J.M., Adam, S., Vessaid, A., Bechar, H.: Automatic Topographic Map Analysis System. In: Blostein, D., Young-Bin Kwon (eds.): Proc. 4th IAPR Int. Workshop on Graphics Recognition, GREC 2001, 7–8 September, Kingston, Ontario, Canada (2001) 229–244
Cheng, H.D., Jiang, X.H., Wang, J.: Color Image Segmentation based on Homogram Thresholding and Region Merging. Pattern Recognition. 35(2) (2002) 373–393
Chen, T. Q., Lu, Y.: Color Image Segmentation-an Innovative Approach. Pattern Recognition. 35(2) (2002) 395–405
Wenyin, L., Dori, D.: Genericity in Graphics Recognition Algorithms. In: Tombre, K., Chhabra, A.K. (eds.): Graphics Recognition Algorithms and Systems. Lecture Notes in Computer Science, Vol. 1389. Springer-Verlag, Berlin Heidelberg New York (1998) 9–20
Levachkine, S., Polchkov, E.: Automated Map Raster Digitization by Cartographic Pattern Recognition. In: Muge, F., Ruiz Shulcloper, J. (eds.): Proc. 5th Iberoamerican Symposium on Pattern Recognition, SIARP 2000, 11–13 September, Lisbon, Portugal (2000) 81–96 (ISBN 972-97711-1-1)
Decelis-Burguete, J. O.: Digitalización automatizada de líneas en mapas ráster. M.S. Thesis, Centre for Computing Research-IPN, Mexico City, Mexico (2001) (in Spanish)
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Levachkine, S., Velàzquez, A., Alexandrov, V., Kharinov, M. (2002). Semantic Analysis and Recognition of Raster-Scanned Color Cartographic Images. In: Blostein, D., Kwon, YB. (eds) Graphics Recognition Algorithms and Applications. GREC 2001. Lecture Notes in Computer Science, vol 2390. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45868-9_15
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DOI: https://doi.org/10.1007/3-540-45868-9_15
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