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On the Segmentation of Color Cartographic Images

  • Juan Humberto Sossa Azuela
  • Aurelio Velázquezco
  • Serguei Levachkine
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2396)

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.

Keywords

Color Image Segmentation Technique Connected Region Threshold Selection Image Thresholding 
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.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • Juan Humberto Sossa Azuela
    • 1
  • Aurelio Velázquezco
    • 1
  • Serguei Levachkine
    • 1
  1. 1.Centra de Investigación en Computación - IPNUPALM-IPN ZacatencoMéxico

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