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Colour image segmentation by modular neural network
Högskolan i Halmstad, Akademin för informationsteknologi, Halmstad Embedded and Intelligent Systems Research (EIS).ORCID-id: 0000-0003-2185-8973
Högskolan i Halmstad, Sektionen för Informationsvetenskap, Data– och Elektroteknik (IDE).
Högskolan i Halmstad, Sektionen för Informationsvetenskap, Data– och Elektroteknik (IDE).
1997 (engelsk)Inngår i: Pattern Recognition Letters, ISSN 0167-8655, E-ISSN 1872-7344, Vol. 18, nr 2, s. 173-185Artikkel i tidsskrift (Fagfellevurdert) 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.

sted, utgiver, år, opplag, sider
Amsterdam: Elsevier, 1997. Vol. 18, nr 2, s. 173-185
Emneord [en]
colour classification, image segmentation, modular neural networks
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Identifikatorer
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, id: diva2:539783
Tilgjengelig fra: 2012-07-05 Laget: 2012-06-25 Sist oppdatert: 2018-03-22bibliografisk kontrollert

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Verikas, AntanasBergman, Lars

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