Abstract
One main problem in image analysis is the segmentation of a cartographic image into its different layers. The text layer is one of the most important and richest ones. It comprises the names of cities, towns, rivers, monuments, streets, and so on. Dozens of segmentation methods have been developed to segment images. Most of them are useful in the binary and the gray level cases. Not to many efforts have been however done for the color case. In this paper we describe a novel segmentation technique specially applicable to raster-scanned color cartographic color images. It has been tested with several dozen of images showing very promising results.
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
N. Otsu, A threshold selection method from gray-level histograms, IEEE Transactions on Systems, Man and Cybernetics, 9(1): 62–66, 1979.
J. N. Kapur, P. S. Sahoo and A. K. C. Wong, A new method for gray-level picture thresholding using entropy of the histogram, Computer Graphics and Image Processing, 29:273–285, 1985
J. Kittler and J. Illingworth, Minimun error thresholding, Pattern Recognition, 19:41–47, 1986.
P. Sahoo, C. Wilkings and J. Yeager, Threshold selection using Renyi’s entropy, Pattern Recognition, 30(1):71–84, 1997.
L. Li, J. Gong and W. Chen, Gray-level image thresholding based on Fisher linear projection of two-dimensional histogram, Pattern Recognition, 30(5):743–749, 1997.
X. J. Wu, Y.J. Zhang and L. Z. Xia, A fast recurring two-dimensional entropic thresholding algorithm, Pattern Recognition, 32:2055–2061, 1999.
J. S. Weska, A survey of threshold selection techniques, Computer Graphics and Image Processing, 7:259–265, 1978.
P. S. Sahoo, Soltani, A. K. C. Wong and Y. Chen, A survey of thresholding techniques, Computer Graphics and Image Processing, 41:233–260, 1988.
H. D. Cheng, X. H. Jiang, Y. Sun and J. Wang, Color image segmentation: advances and prospects, Pattern recognition, 34(12):2259–2281, 2001.
R. C. Gonzalez and R. E. Woods, Digital image processing, Addison Wesley Pub. Co. 1993.
S. E. Umbaugh, Computer Vision and Image Processing: A practical Approach using CVIPtools, Prentice Hall PTR, NJ, 1998.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2002 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Azuela, J.H.S., Velázquezco, A., Levachkine, S. (2002). On the Segmentation of Color Cartographic Images. In: Caelli, T., Amin, A., Duin, R.P.W., de Ridder, D., Kamel, M. (eds) Structural, Syntactic, and Statistical Pattern Recognition. SSPR /SPR 2002. Lecture Notes in Computer Science, vol 2396. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-70659-3_40
Download citation
DOI: https://doi.org/10.1007/3-540-70659-3_40
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-44011-6
Online ISBN: 978-3-540-70659-5
eBook Packages: Springer Book Archive