Content Based Image Retrieval Using Dominant Color , Texture and Shape

@inproceedings{Rao2011ContentBI,
  title={Content Based Image Retrieval Using Dominant Color , Texture and Shape},
  author={M. Babu Rao and B. Prabhakara Rao},
  year={2011}
}
In these days people are interested in using digital images. So the size of the image database is increasing enormously. Lot of interest is paid to find images in the database. There is a great need for developing an efficient technique for finding the images. In order to find an image, image has to be represented with certain features. Color, texture and shape are three important visual features of an image. In this paper we propose an efficient image retrieval technique which uses dynamic… CONTINUE READING

Citations

Publications citing this paper.

References

Publications referenced by this paper.
Showing 1-10 of 23 references

Similarity of Color Images

Storage and Retrieval for Image and Video Databases • 1995
View 18 Excerpts
Highly Influenced

Photobook: Content-based manipulation of image databases

International Journal of Computer Vision • 1996
View 9 Excerpts
Highly Influenced

The QBIC Project: Querying Images by Content, Using Color, Texture, and Shape

Storage and Retrieval for Image and Video Databases • 1993
View 8 Excerpts
Highly Influenced

Image retrieval using both color and texture features

2009 International Conference on Machine Learning and Cybernetics • 2009
View 1 Excerpt

Similar Papers

Loading similar papers…