Integration of color, edge, shape, and texture features for automatic region-based image annotation and retrieval

Abstract

We present algorithms for automatic image annotation and retrieval based on color, shape, texture, and any combination of two or more of these features. Pixel- or region (object)-based color; region-based shape; and block- or region-based texture features have been considered. Automatic region selection has been accomplished by integrating color and spatial edge features. Color, shape, and texture indexing may be knowledge based (using appropriate training sets) or by example. The multifeature integration algorithms are designed to: (i) offer the user a wide range of options and flexibilities in order to enhance the outcome of the search and retrieval operations, and (ii) provide a compromise between accuracy and computational complexity, and vice versa. We demonstrate the performance of the proposed algorithms on a variety of images.