Chapter

Case-Based Reasoning Research and Development

Volume 1650 of the series Lecture Notes in Computer Science pp 525-534

Date:

An Architecture for a CBR Image Segmentation System

  • Petra PernerAffiliated withInstitute of Computer Vision and Applied Computer Sciences

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.