The week's pick
Reseach Article
Article:Color Spaces for Transform-based Image Retrieval
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 9 - Number 12 |
| Year of Publication: 2010 |
| Authors: Sanjay N Talbar, Satishkumar L. Varma |
10.5120/1441-1949
|
Sanjay N Talbar, Satishkumar L. Varma . Article:Color Spaces for Transform-based Image Retrieval. International Journal of Computer Applications. 9, 12 ( November 2010), 4-6. DOI=10.5120/1441-1949
Abstract
The discrete image transforms are used for energy compaction primarily and so used in image data compression. The level of energy in the image depends on level of colors used. In this paper we use two discrete image transforms namely Discrete Hadamard Transform (DHT) and Discrete Wavelet Transform (DWT). These transforms are applied on two different color models namely HSV and YCbCr separately in a given large standard database with 1000 images formed from 10 different classes taken from the Corel collection. The proposed features are effective and useful for image indexing and retrieval.
References
- Sanjay N. Talbar and Satishkumar L. Varma, "iMATCH: Image Matching and Retrieval for Digital Image Libraries," ICETET, pp.196-201, 2009, ISBN: 978-0-7695-3884-6.
- Sanjay N. Talbar and Satishkumar L. Varma, “IRMOMENT: image indexing and retrieval by combining moments,” IET Digest 2009, 38, DOI:10.1049/ic.2009.0148.
- Hossein Nezamabadi-pour and Saeid Saryazdi, “Object-Based Image Indexing and Retrieval in DCT Domain using Clustering Techniques”, Vol. 3 JANUARY 2005 ISSN 1307-6884.
- M. J. Swain and D. H. Ballard, “Color indexing”, International Journal of Computer Vision, 1991, vol.7, no.1, pp.11-32.
- A. K. Jain and A. Vailaya, “Image retrieval using color and shape”, Pattern Recognition, 996, vol.29, no.8, pp.1233-1244.
- F. Mokhtarian and S. Abbasi, “Shape similarity retrieval under affine transforms”, Pattern Recognition, 2002, vol. 35, pp. 31-41.
- B. S. Manjunath and W. Y. Ma, “Texture feature for browsing and retrieval of image data”, IEEE PAMI, 1996, no. 18, vol. 8, pp. 837-842.
- J. R. Smith and C. S. Li, “Image classification and querying using composite region templates”, Academic Press, Computer Vision and Understanding, 1999, vol.75, pp.165-174.
- J. Berens, G. D. Finlayson and G. Qiu, “Image indexing using compressed color Histograms”, IEEE Proc.-Vision Image Signal Process. Vol. 147, No. 4, August 2000.
- Jose A. Lay and Ling Guan, “Image Retrieval Based on Energy Histograms of the Low Frequency DCT Coefficients,” IEEE 0-7803-5041-3/99, 1999.
- Stepan Obdrzalek and Jiri Matas, “Image Retrieval Using Local Compact DCT-based Representation.” DAGM’03, 25th Pattern Recognition Symposium, September 10-12, 2003.
- J. Z. Wang, G. Wiederhold, O. Firschein, and X.W. Sha, “Content-Based Image Indexing and Searching Using Daubechies’ Wavelets,” Int'l J. Digital Libraries, vol. 1, no. 4, pp. 311-328, 1998.
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