Fuzzy Image Segmentation with Fuzzy Labelled Neural Gas
C. Bayan Bruss, Felix Bollenbeck, Frank-Michael Schleif, Winfriede Weschke, Thomas Villmann, Udo Seiffert · PUB – Publications at Bielefeld University (Bielefeld University) · 2006
Processing biological data often requires handling of uncer- tain and sometimes inconsistent information. Particularly when coping with image segmentation tasks against biomedical background, a clear de- scription of for example tissue borders is often hard to obtain. On the other hand, there are only a few promising segmentation algorithms being able to process fuzzy input data. This paper describes one novel alterna- tive applying the recently introduced Fuzzy Labelled Neural Gas (FLNG) as subsequent classiflcation step to a biologically relevant fuzzy labelling with underlying image feature extraction.