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Image Segmentation Based on Height Maps

  • Gabriele Peters
  • Jochen Kerdels
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4673)

Abstract

In this paper we introduce a new method for image segmentation. It is based on a height map generated from the input image. The height map characterizes the image content in such a way that the application of the watershed concept provides a proper segmentation of the image. The height map enables the watershed method to provide better segmentation results on difficult images, e.g., images of natural objects, than without the intermediate height map generation. Markers used for the watershed concept are generated automatically from the input data holding the advantage of a more autonomous segmentation. In addition, we introduce a new edge detector which has some advantages over the Canny edge detector. We demonstrate our methods by means of a number of segmentation examples.

Keywords

segmentation edge detection watershed height maps 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Gabriele Peters
    • 1
  • Jochen Kerdels
    • 2
  1. 1.University of Dortmund, Department of Computer Science - Computer Graphics, Otto-Hahn-Str. 16, D-44221 DortmundGermany
  2. 2.DFKI - German Research Center for Artificial Intelligence, Robotics Lab, Robert Hooke Str. 5, D-28359 BremenGermany

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