Abstract
Map images are composed of semantic layers depicted in arbitrary color. Layer extraction and removal is often needed for improving readability as well as for further processing. When image is separated into the set of layers with respect to the colors, it results in appearance of severe artifacts because of the layer overlapping. In this way the extracted layers differ from the semantic data, which affects further map image processing analysis tasks. In this work, we introduce techniques for extraction and removal of the semantic layers from the map images. The techniques utilize low-complexity morphological image restoration algorithms. The restoration provides good quality of the reconstructed layers, and alleviates the affect of artifacts on the precision of image analysis tasks.
Chapter PDF
Similar content being viewed by others
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
References
Fox, E.A., et al. (ed.): Digital Libraries. [Special issue of] Communications of the ACMÂ 38(4) (1995)
NLS: National Land Survey of Finland, Opastinsilta 12 C, P.O.Box 84, 00521 Helsinki, Finland, http://www.nls.fi/index_e.html
Fränti, P., Ageenko, E., Kopylov, P., Gröhn, S., Berger, F.: Compression of map images for real-time applications. Image and Vision Computing 22(13), 1105–1115 (2004)
Pitas, I., Venetsanopoulos, A.N.: Nonlinear digital filters: principles and applications. Kluwer, Boston (1990)
Dougherty, E.R., Astola, J. (eds.): Nonlinear Filters for Image Processing. SPIE Optical Engineering Press, San Jose (1997)
Dougherty, E.R.: ‘Optimal mean-square n-observation digital morphological filters. Part I: Optimal binary filters. Computer Vision, Graphics, and Image Processing 55, 36–54 (1992)
Wah, F.M.: A binary image preprocessor for document quality improvement and data reduction. In: Proc. Int. Conf. on Acoustic, Speech, and Signal Processing-ICASSP 1986, pp. 2459–2462 (1986)
Ping, Z., Lihui, C., Alex, K.C.: Text document filters using morphological and geometrical features of characters. In: Proc. Int. Conf on Signal Processing-ICSP 2000, pp. 472–475 (2000)
Randolph, T.R., Smith, M.J.T.: Enhancement of fax documents using a binary angular representation. In: Proc. Int. Symp. on Intelligent Multimedia, Video and Signal Processing, Hong Kong China, May 2-4, pp. 125–128 (2001)
Zheng, Q., Kanungo, T.: Morphological degradation models and their use in document image restoration., University of Maryland, USA, Technical Report, LAMP-TR-065 CAR-TR-962 N660010028910/IIS9987944 (2001)
Ageenko, E., Fränti, P.: Context-based filtering of document images. Pattern Recognition Letters 21(6-7), 483–491 (2000)
Kolesnikov, A., Fränti, P.: Data reduction of large vector graphics. Pattern Recognition 38(3), 381–394 (2005)
Heijmans, H.J.A.M.: Morphological image operators. Academic Press, Boston (1994)
Matheron, G.: Random Sets and Integral Geometry. J. Wiley & Sons, New York (1975)
Serra, J.: Image Analysis and Mathematical morphology. Academic Press, London (1982)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Podlasov, A., Ageenko, E. (2005). Extraction and Removal of Layers from Map Imagery Data. In: Kalviainen, H., Parkkinen, J., Kaarna, A. (eds) Image Analysis. SCIA 2005. Lecture Notes in Computer Science, vol 3540. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11499145_112
Download citation
DOI: https://doi.org/10.1007/11499145_112
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-26320-3
Online ISBN: 978-3-540-31566-7
eBook Packages: Computer ScienceComputer Science (R0)