Difference between revisions of "Publications:Colour image segmentation by modular neural network"
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| − | |Name=Verikas, Antanas | + | |Name=Verikas, Antanas (av) (0000-0003-2185-8973) (Högskolan i Halmstad (2804), Sektionen för Informationsvetenskap, Data– och Elektroteknik (IDE) (3905), Halmstad Embedded and Intelligent Systems Research (EIS) (3938));Malmqvist, Kerstin (Högskolan i Halmstad (2804), Sektionen för Informationsvetenskap, Data– och Elektroteknik (IDE) (3905));Bergman, Lars (Högskolan i Halmstad (2804), Sektionen för Informationsvetenskap, Data– och Elektroteknik (IDE) (3905)) |
|Title=Colour image segmentation by modular neural network | |Title=Colour image segmentation by modular neural network | ||
|PublicationType=Journal Paper | |PublicationType=Journal Paper | ||
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| Title | Colour image segmentation by modular neural network |
|---|---|
| Author | |
| Year | 1997 |
| PublicationType | Journal Paper |
| Journal | Pattern Recognition Letters |
| HostPublication | |
| Conference | |
| DOI | http://dx.doi.org/10.1016/S0167-8655(97)00004-4 |
| Diva url | http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:539783 |
| Abstract | 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. |
