Conference paper

Visualization of Fuzzy Information in Fuzzy-Classification for Image Segmentation using MDS


Authors listVillmann, Thomas; Strickert, Marc; Brüß, Cornelia; Schleif, Frank-Michael; Seiffert, Udo

Appeared in15th European symposium on artificial neural networks

Editor listVerleysen, Michel

Publication year2007

Pages103-108

ISBN2-930307-07-2

URLhttps://www.esann.org/sites/default/files/proceedings/legacy/es2007-145.pdf

Conference15th European Symposium on Artificial Neural Networks


Abstract

In this work we introduce a method for visualization of fuzzy label information obtained from prototype based fuzzy labeled selforganizing map (FLSOM) for fuzzy classification. FLSOM returns vectors of fuzyy class labels for the prototypes containing class simlarity information. This information is used for apropriate visualization by an adequate, similarity preserving color space embedding realized by an advanced MDSapproach. Using this embedding, classification results can be visualized by the similarity-based color representation of the data. The method is applied for image segmentation with uncertain (fuzzy) class membership.




Authors/Editors




Citation Styles

Harvard Citation styleVillmann, T., Strickert, M., Brüß, C., Schleif, F. and Seiffert, U. (2007) Visualization of Fuzzy Information in Fuzzy-Classification for Image Segmentation using MDS, in Verleysen, M. (ed.) 15th European symposium on artificial neural networks. Evere: D-side. pp. 103-108. https://www.esann.org/sites/default/files/proceedings/legacy/es2007-145.pdf

APA Citation styleVillmann, T., Strickert, M., Brüß, C., Schleif, F., & Seiffert, U. (2007). Visualization of Fuzzy Information in Fuzzy-Classification for Image Segmentation using MDS. In Verleysen, M. (Ed.), 15th European symposium on artificial neural networks. (pp. 103-108). D-side. https://www.esann.org/sites/default/files/proceedings/legacy/es2007-145.pdf


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