Abstract
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<p>In this paper segmentation of col … <p>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.</p> two very similar black colours.</p>
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Author
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Antanas Verikas +
, Kerstin Malmqvist +
, Lars Bergman +
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DOI
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http://dx.doi.org/10.1016/S0167-8655(97)00004-4 +
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Diva
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http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:539783
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EndPage
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185 +
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Issue
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2 +
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Journal
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Pattern Recognition Letters +
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PublicationType
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Journal Paper +
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Publisher
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Elsevier +
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StartPage
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173 +
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Title
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Colour image segmentation by modular neural network +
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Volume
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18 +
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Year
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1997 +
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Has queryThis property is a special property in this wiki.
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Publications:Colour image segmentation by modular neural network +
, Publications:Colour image segmentation by modular neural network +
, Publications:Colour image segmentation by modular neural network +
, Publications:Colour image segmentation by modular neural network +
, Publications:Colour image segmentation by modular neural network +
, Publications:Colour image segmentation by modular neural network +
, Publications:Colour image segmentation by modular neural network +
, Publications:Colour image segmentation by modular neural network +
, Publications:Colour image segmentation by modular neural network +
, Publications:Colour image segmentation by modular neural network +
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Categories |
Publication +
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Modification dateThis property is a special property in this wiki.
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30 September 2016 20:41:11 +
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