Publications:Colour image segmentation by modular neural network
From ISLAB/CAISR
| Title | Colour image segmentation by modular neural network |
|---|---|
| Author | Antanas Verikas and Kerstin Malmqvist and Lars Bergman |
| 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. |
