The week's pick
Reseach Article
Image Retrieval Based On Color and Texture Features of the Image Sub-blocks
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 15 - Number 7 |
| Year of Publication: 2011 |
| Authors: Ch.Kavitha, Dr.B.Prabhakara Rao, Dr.A.Govardhan |
10.5120/1958-2619
|
Ch.Kavitha, Dr.B.Prabhakara Rao, Dr.A.Govardhan . Image Retrieval Based On Color and Texture Features of the Image Sub-blocks. International Journal of Computer Applications. 15, 7 ( February 2011), 33-37. DOI=10.5120/1958-2619
Abstract
Nowadays 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 and texture are two important visual features of an image. So, an efficient image retrieval technique which uses local color and texture features is proposed. An image is partitioned into sub-blocks of equal size as a first step. Color of each sub-block is extracted by quantifying the HSV color space into non-equal intervals and the color feature is represented by cumulative histogram. Texture of each sub-block is obtained by using gray level co-occurrence matrix. A one to one matching scheme is used to compare the query and target image. Euclidean distance is used in retrieving the similar images. The efficiency of the method is demonstrated with the results.
References
- Ritendra Datta, Dhiraj Joshi, Jia Li and James Wang, “Image Retrieval:Ideas, Influences and trends of the New Age”, Proceedings of the 7th ACM SIGMM international workshop on multimedia information retrieval, Novenber 10-11,2005, Hilton, Singapore
- W. Niblack et al., “The QBIC Project: Querying Images by Content Using Color, Texture, and Shape,” in Proc. SPIE, vol. 1908, San Jose, CA, pp. 173–187, Feb. 1993.
- A. Pentland, R. Picard, and S. Sclaroff, “Photobook: Content-based Manipulation of Image Databases,” in Proc. SPIE Storage and Retrieval for Image and Video Databases II, San Jose, CA, pp. 34–47, Feb. 1994.
- M. Stricker, and M. Orengo, “Similarity of Color Images,” in Proc. SPIE Storage and Retrieval for Image and Video Databases, pp. 381-392, Feb. 1995.
- Y. Chen and J. Z. Wang, “A Region-Based Fuzzy Feature Matching Approach to Content- Based Image Retrieval,” in IEEE Trans. on PAMI, vol. 24, No.9, pp. 1252-1267, 2002.
- A. Natsev, R. Rastogi, and K. Shim, “WALRUS: A Similarity Retrieval Algorithm for Image Databases,” in Proc. ACM SIGMOD Int. Conf. Management of Data, pp. 395–406, 1999.
- J. Li, J.Z. Wang, and G. Wiederhold, “IRM: Integrated Region Matching for Image Retrieval,” in Proc. of the 8th ACM Int. Conf. on Multimedia, pp. 147-156, Oct. 2000.
- P. Howarth and S. Ruger, “Robust texture features for still-image retrieval”, IEE. Proceedings of Visual Image Signal Processing, Vol. 152, No. 6, December 2005.
- Cao LiHua, Liu Wei, and Li GuoHui, “Research and Implementation of an Image Retrieval Algorithm Based on Multiple Dominant Colors”,Journal of Computer Research & Development, Vol 36, No. 1,pp.96-100,1999.
- J. R. Smith, F. S. Chang, “Tools and Techniques for Color Image Retrieval”, Symposium on Electronic Imaging: Science and Technology-Storage and Retrieval for Image and Video Database IV, pp.426-237, 1996.
- H. T. Shen, B. C. Ooi, K. L. Tan, Giving meanings to www images,” Proceedings of ACM Multimedia, 2000, pp.39–48.
- FAN-HUI KONG, “Image Retrieval using Both color and texture features” proceedings of the 8th international conference on Machine learning and Cubernetics,Baoding,12-15 July 2009.
- JI-QUAN MA, “Content-Based Image Retrieval with HSV Color Space and Texture Features”, proceedings of the 2009 International Conference on Web Information Systems and Mining.
- P.S.Hiremath, Jagadeesh Pujari, ”Content based image retrieval using Color, Texture and Shape features”, proceedings of the 15th International conference on Advanced Computing and communications.
- Wang’s dataset http://wang.ist.psu.edu/
- Smith J R, Chang S F. Tools and techniques for color image retrieval, in: IST/SPIE-Storage and Retrieval for Image and Video Databases IV, San Jose, CA, 2670, 1996,426-437
- Chia-Hung Wei, Yue Li, Wing-Yin Chau, Chang-Tsun Li, Trademark image retrieval using synthetic features for describing global shape and interior structure, Pattern Recognition 42 (3) (2009) 386–394.
- Rui Y, Huang T S, Chang S F. Image retrieval: current techniques,promising directions and open issues, Journal of Visual Communication and Image Representation, 1999, 10( I): 39-62
- Song Mailing, Li Huan, “An Image Retrieval Technology Based on HSV Color Space”, Computer Knowledge and Technology, No. 3,pp.200-201, 2007.
- B S Manjunath, W Y Ma, “Texture feature for browsing and retrieval of image data”,IEEE Transaction on PAMI, Vol 18, No. 8, pp.837-842.
Index Terms
Keywords