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Unsupervised Fuzzy Clustering and Image Segmentation Using Weighted Neural Networks
Uppsala University, Interfaculty Units, Centre for Image Analysis. Teknisk-naturvetenskapliga vetenskapsområdet, Mathematics and Computer Science, Department of Information Technology, Computerized Image Analysis.
2003 (English)Conference paper (Refereed)
Abstract [en]

A new class of neuro-fuzzy systems, based on so-called Weighted Neural Networks (WNN), is introduced and used for unsupervised fuzzy clustering and image segmentation. Incremental and fixed (or grid-partitioned) Weighted Neural Networks are presented and

Place, publisher, year, edition, pages
Keyword [en]
Unsupervised Image Segmentation, Unsupervised Fuzzy Clustering, Neuro-Fuzzy Systems, Weighted Neural Networks (WNN), Watersheds.
National Category
Computer Vision and Robotics (Autonomous Systems)
URN: urn:nbn:se:uu:diva-45837OAI: oai:DiVA.org:uu-45837DiVA: diva2:73746
Available from: 2005-08-26 Created: 2005-08-26

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