Automatic building of a visual interface for content-based multiresolution retrieval of paleontology images

摘要

In this article we present research work in the field of content-based image retrieval in large databases applied to the pa- leontology image database of the Universite de Bourgogne, Dijon, France, called "TRANS'TYFIPAL." Our indexing method is based on Multiresolution decomposition of database images using wavelets. For each family of paleontology images we try to find a model image That represents it. The K-means automatic classification algorithm Divides the space of parameters into several clusters.