Advances in data storage and image acquisition technologies have enabled the creation of large image datasets. In this scenario, it is necessary to develop appropriate information systems to efficiently manage these collections. The most common approaches use Content- Based Image Retrieval (CBIR).The goal of such CBIR systems is to support image retrieval based on content e.g., shape, color, texture. Retrieval of images based on visual features such as color, texture and shape have proven to have its own set of limitations under different conditions. In this paper we propose a novel method with highly accurate and retrieval efficient approach which will work on large image database with varied contents and background.

1. Arti Khaparde, B.L.Deekshatulu, M. Madhavilath, Zakira Farheen, Sandhya Kumari V, "Content Based Image Retrieval Using Independent Component Analysis”, IJCSNS International Journal of Computer Science and Network Security, VOL.8 No.4, April 2008.
2. TOMASZ ANDRYSIAK, MICHA? CHORA´, “IMAGE RETRIEVAL BASED ON HIERARCHICAL GABOR FILTERS, Int. J. Appl. Math. Comput. Sci., 2005, Vol. 15, No. 4, 471–480
3. S.A.Pine, R C Patil, “Content Based Image Retrieval Using wavelet Transform” Telecommunication?Thadomal Shahani Engineering College, Bandra (East), Mumbai-51.
4. X. Fu, Y. Li, R. Harrison, S. Belkasim, “Content-based Image Retrieval Using Gabor-Zernike Features”, The 18th International Conference on Pattern Recognition (ICPR'06)
5. Guoping Qiu, “Color Image Indexing Using BTC,”IEEE Transactions on Image Processing, VOL.12, NO.1, pp.93-101, January 2003
6. H.B.Kekre, Sudeep D. Thepade, “Boosting Block Truncation Coding with Kekre?s LUV Color Space for Image Retrieval”, International Journal of Electrical, Computer, and Systems Engineering 2; 3 © www.waset.org summer 2008
7. Kai-Krung Ma, and Sarah A. Rajala, 1991, Sub band Coding of Digital Images Using Absolute Moment Block Truncation, IEEE Transactions on Acoustics, Speech, and Speech, and Signal Processing, 1991. ICASSP-91., International Conference on, 1991 Vol. 4, pp. 2645-2648 .
8. Dr.H.B.Kekre, Ms. Swapna Borde,” Content Based Image Retrieval,” National Conference on Applications of Digital Signal Processing, NCDSP-2007, January 19-20, 2007
9. K Bhandari, N Dugar, N Jain, N Shetty, “A novel High Performance Multi-Modal approach for Content Based Image Retrieval”, ICWET 2010
10. Hun Wang, Fang, Dai, China,” An Image Retrieval Method Based on Texture features of Object region”IEEE Transactions on Image Processing, 2011.
11. Hamid Jalab,” Image Retrieval system based on Color Layout and Gabor filter” IEEE Transactions on Image Processing, 2011.

Color Histogram Wavelet Transform & Gabor filter Texture analysis