Histograms for Texture based Image Retrieval
Ch. -F. Wolf, Jean-Michel Jolion, Horst Bischof · 2000
: Content based image retrieval is the task of searching images from a database, which are visually similar to a given example image. Since there is no general de nition for visual similarity, there are dierent possible ways to query for visual content. In this work we present methods for content based image retrieval based on texture similarity using interest points and Gabor features. Interest point detectors are used in computer vision to detect image points with special properties, which can be geometric (corners) or non-geometric (contrast etc.). Gabor functions and Gabor lters are regarded as excellent tools for texture feature extraction and texture segmentation. We present methods how to combine these methods for content based image retrieval and to generate a histogram based texture description of images. Experimental results of the query system on test image databases are given. 1 Introduction Content based image retrieval systems use the contents of a query image provid...