An image retrieval system for artistic database on cultural heritage
Edoardo Ardizzone, Antonio Chella, Roberto Pirrone, Orazio Gambino · 2004
Abstract. In this work an image retrieval system based on dominant colors is presented. A novel similarity function based on membership values of the Fuzzy c-means theory is introduced in order to using the information contained in the image descriptor vector like coordinates in a conceptual space. The principal characteristic of this system is quickness on retrieval phase due to light computations, easy implementation, immunity to strong luminance variations, simply to use by the user. The image database we used is heterogeneous and comprises 3000 images, both paints and photos of monuments, and other low quality photos taken by webcam was introduced. 1