Image indexing and retrieval using expressive fuzzy description logics
β Scribed by N. Simou; Th. Athanasiadis; G. Stoilos; S. Kollias
- Book ID
- 107499084
- Publisher
- Springer-Verlag
- Year
- 2008
- Tongue
- English
- Weight
- 731 KB
- Volume
- 2
- Category
- Article
- ISSN
- 1863-1703
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
Significant research has focused on determining efficient methodologies for effective and speedy retrieval in large image databases. Towards that goal, the first contribution of this paper is an image abstraction technique, called variable-bin allocation (VBA), based on signature bitstrings and a co
Our starting point is gradient indexing, the characterization of texture by a feature vector that comprises a histogram derived from the image gradient field. We investigate the use of gradient indexing for texture recognition and image retrieval. We find that gradient indexing is a robust measure w
## Abstract Traditional contentβbased image retrieval (CBIR) systems use lowβlevel features such as colors, shapes, and textures of images. Although, users make queries based on semantics, which are not easily related to such lowβlevel characteristics. Recent works on CBIR confirm that researchers