Comparison of Color, Texture and ICM Features in CBIR System
| Periodical | Advanced Materials Research (Volumes 403 - 408) |
|---|---|
| Main Theme | MEMS, NANO and Smart Systems |
| Edited by | Li Yuan |
| Pages | 13-19 |
| DOI | 10.4028/www.scientific.net/AMR.403-408.13 |
| Citation | Sonali Bhadoria et al., 2011, Advanced Materials Research, 403-408, 13 |
| Online since | November, 2011 |
| Authors | Sonali Bhadoria, Meenakshi Madugunki, C.G. Dethe, Preeti Aggarwal |
| Keywords | CBIR, Feature Extraction, Image Retrieval, Similarity Measurements, TBIR |
| Price | US$ 28,- |
Image retrieval has been one of the most interesting and vivid research areas in the field of computer vision over the last decades. Content-Based Image Retrieval (CBIR) systems are used in order to automatically index, search, retrieve, and browse image databases. There are various features which can be extracted from the image which gives different performance in retrieving the image.al systems. In this paper we have tried to compare the effect of using different features on the same data base to implement CBIR system. We have tried to analyse the retrieval performance for each feature. We have compared different features as well as the combinations of them to improve the performance. We have also compared the effect of different matching techniques on the retrieval process.
