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Colour image segmentation by modular neural network
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS).ORCID iD: 0000-0003-2185-8973
Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE).
Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE).
1997 (English)In: Pattern Recognition Letters, ISSN 0167-8655, E-ISSN 1872-7344, Vol. 18, no 2, 173-185 p.Article in journal (Refereed) Published
Abstract [en]

In this paper segmentation of colour images is treated as a problem of classification of colour pixels. A hierarchical modular neural network for classification of colour pixels is presented. The network combines different learning techniques, performs analysis in a rough to fine fashion and enables to obtain a high average classification speed and a low classification error. Experimentally, we have shown that the network is capable of distinguishing among the nine colour classes that occur in an image. A correct classification rate of about 98% has been obtained even for two very similar black colours.

Place, publisher, year, edition, pages
Amsterdam: Elsevier, 1997. Vol. 18, no 2, 173-185 p.
Keyword [en]
colour classification, image segmentation, modular neural networks
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:hh:diva-18811DOI: 10.1016/S0167-8655(97)00004-4ISI: A1997WQ65100007Scopus ID: 2-s2.0-0031074212OAI: oai:DiVA.org:hh-18811DiVA: diva2:539783
Available from: 2012-07-05 Created: 2012-06-25 Last updated: 2017-06-20Bibliographically approved

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Verikas, AntanasBergman, Lars
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Halmstad Embedded and Intelligent Systems Research (EIS)School of Information Science, Computer and Electrical Engineering (IDE)
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