Abstract
Color histogram is an important technique for color image database indexing and retrieving. In this paper, traditional color histogram is modified to capture spatial layout information of each color and three types spatial color histograms are introduced: annular, angular and hybrid color histograms. Experiments show that with a proper trade-off between the granularity in color dimensions and that in spatial dimensions, the performance of these histograms outperforms the traditional color histogram and some existing histogram refinement such as color coherent vector.
| Original language | English |
|---|---|
| Pages (from-to) | 183-186 |
| Number of pages | 4 |
| Journal | Proceedings of the International Conference on Tools with Artificial Intelligence |
| State | Published - 1999 |
| Event | Proceedings of the 11th IEEE International Conference on Tools with Artificial Intelligence (ICTAI '99) - Chicago, IL, USA Duration: Nov 9 1999 → Nov 11 1999 |
Fingerprint
Dive into the research topics of 'Spatial color histograms for content-based image retrieval'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver