Konferenzpaper

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


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

Erschienen in15th European symposium on artificial neural networks

HerausgeberlisteVerleysen, Michel

Jahr der Veröffentlichung2007

Seiten103-108

ISBN2-930307-07-2

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

Konferenz15th 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.




Autoren/Herausgeber




Zitierstile

Harvard-ZitierstilVillmann, 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-ZitierstilVillmann, 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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