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Combining neural networks, fuzzy sets, and evidence theory based approaches for analysing colour images
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS). Department of Electrical and Control Equipment, Kaunas University of Technology, Kaunas, Lithuania.ORCID iD: 0000-0003-2185-8973
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Intelligent systems (IS-lab).
Department of Electrical and Control Equipment, Kaunas University of Technology, Kaunas, Lithuania.
2000 (English)In: IJCNN 2000: Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, Como, Italy, 24-27 July 2000, Vol. 2 / [ed] Shun Ichi-Amari, C. Lee Giles, Marco Gori & Vincenzo Piuri, Los Alamitos: IEEE Computer Society, 2000, p. 297-302Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents an approach to determining colours of specks in an image taken from a pulp sample. The task is solved through colour classification by an artificial neural network. The network is trained using possibilistic target values. The problem of post-processing of a pixelwise-classified image is addressed from the point of view of the Dempster-Shafer theory of evidence. Each neighbour of a pixel being analysed is considered as an item of evidence supporting particular hypotheses regarding the class label of that pixel. The experiments performed have shown that the colour classification results correspond well with the human perception of colours of the specks.

Place, publisher, year, edition, pages
Los Alamitos: IEEE Computer Society, 2000. p. 297-302
Series
IEEE International Joint Conference on Neural Networks (IJCNN), ISSN 1098-7576
National Category
Computer Vision and Robotics (Autonomous Systems)
Identifiers
URN: urn:nbn:se:hh:diva-18783DOI: 10.1109/IJCNN.2000.857912ISI: 000089240200047Scopus ID: 2-s2.0-0033681952ISBN: 9780769506197 (print)ISBN: 0769506194 (print)ISBN: 0780365410 (print)ISBN: 9780780365414 (print)ISBN: 0769506216 (print)ISBN: 9780769506210 (print)OAI: oai:DiVA.org:hh-18783DiVA, id: diva2:541024
Conference
International Joint Conference on Neural Networks (IJCNN'2000), Como, Italy, July 24-27, 2000
Available from: 2012-07-13 Created: 2012-06-25 Last updated: 2021-04-06Bibliographically approved

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Verikas, AntanasMalmqvist, Kerstin

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CiteExportLink to record
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Citation style
  • apa
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Output format
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