Segmentation of Natural Images using Self-Organising Feature MapsN. W. Campbell, B. T. Thomas, T. Troscianko , Segmentation of Natural Images using Self-Organising Feature Maps. British Machine Vision Conference. ISBN 0 9521898 3 6, pp. 223–232. September 1996. PDF, 297 Kbytes.
We propose a technique for the segmentation of images using both colour and texture information. This information is in the form of lowpass colour responses and sixteen Gabor texture filter responses. A self-organising feature map is trained to label any set of responses into appropriate categories. We quantify the success of the approach and assess the importance of colour and texture in the segmentation process. The technique is shown to be highly successful in segmenting both artificial and natural outdoor scenes.