An Architecture for a CBR Image Segmentation System

  • Petra Perner
Conference paper

DOI: 10.1007/3-540-48508-2_38

Part of the Lecture Notes in Computer Science book series (LNCS, volume 1650)
Cite this paper as:
Perner P. (1999) An Architecture for a CBR Image Segmentation System. In: Althoff KD., Bergmann R., Branting L. (eds) Case-Based Reasoning Research and Development. ICCBR 1999. Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence), vol 1650. Springer, Berlin, Heidelberg

Abstract

Image Segmentation is a crucial step if extracting information from a digital image. It is not easy to set up the segmentation parameter so that it fits best over the entire set of images, which should be segmented. In the paper, we propose a novel architecture for image segmentation method based on CBR, which can adapt to changing image qualities and environmental conditions. We describe the whole architecture, the methods used for the various components of the systems and show how it performs on medical images.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1999

Authors and Affiliations

  • Petra Perner
    • 1
  1. 1.Institute of Computer Vision and Applied Computer SciencesLeipzigGermany

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