Content search in an image databases

摘要

The Gabor filters offer good performance in the field of content-based image indexing and retrieval. Here, I present an algorithm for indexing and retrieval, which use the similarities, properties of human visual system for textured images. This system is very useful for clustering textured images using similarities offered by a multichannel decomposition with Gabor filters. The area of applications is very wide: multimedia documents, transaction systems, medical application, query and browsing.