An Architecture for a CBR Image Segmentation
System

Petra Perner

Institute of Computer Vision and Applied Computer Sciences
Arno-Nitzsche-Str. 45, 04277 Leipzig, Germany
e-mail: ibaipemer@aol.com fax: +49 341 8665 636



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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