Automated Segmentation and Registration of Dermatological Images |
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Authors: | Ilias Maglogiannis |
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Affiliation: | (1) Department of Information and Communication Systems Engineering, University of the Aegean, 83200 Karlovasi Samos, Greece |
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Abstract: | ![]() During the last years, there has been a significant increase in the level of interest in image morphology, full-color image processing, image data compression, image recognition and knowledge based analysis systems for medical images. The present paper describes the implementation and tests the efficiency of algorithms dealing with the issues of segmentation and registration of digital images containing skin lesions. Those steps are considered of great importance in computer based characterization systems as they are responsible for the isolation of pathological findings and the matching of sequential images during follow-up studies in medical imaging. This revised version was published online in July 2006 with corrections to the Cover Date. |
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Keywords: | digital skin image unsupervised segmentation registration similarity criteria |
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