D. García-Pérez and A. Mosquera (Spain)
Image retrieval, SOM, colour modelling, L*a*b*
The actual necesity for systems that searches for images by visual features is making the growing of a new reasearch field exclusivily centered in this problem. This paper in troduces a new method to organice the image database of a Content-Based Information Retrieval System. Our first im plementation of an image retrieval systems uses a L*a*b* colour histogram as image feature. The feature vectors are organiced by a neural net, a Self-Organizing Map. This net classifies the image database in subgroups of images where the system can apply any type of ranking metric to show the results to the final user.
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