Research is taking place to find effective algorithms for content-based image representation and description. There is a substantial amount of algorithms available that use visual features (color, shape, texture). Shape feature has attracted much attention from researchers that there are many shape representation and description algorithms in literature. These shape image representation and des...

one of the challenging issues in managing the existing large digital image libraries and databases is content based image retrieval (cbir). the accuracy of image retrieval methods in cbir is subject to effective extraction of image features such as color, texture, and shape. in this paper, we propose a new image retrieval method using contourlet transform coefficients to index texture of the im...

This paper presents a novel hybrid method for visual information retrieval (VIR) that combines shape analysis of objects in image with their automatic indexing by textual descriptions. The principal goal of proposed method is the applying semantic Web approaches for visual information description in systems which use the low-level image characteristics. In the proposed method the user-oriented ...

Over the past five years, a huge influx of visual data has arisen within the realm of computing. Consequently, it is evident that a means of automatically indexing this visual information on the basis of content is required. This paper discusses a component of an image retrieval system with the ability to automatically locate and classify an image’s constituent shapes. The images employed are p...