1. 1. F. Long, H. J. Zhang and D. D. Feng, Fundamentals of Content-based Image Retrieval, In Multimedia Information Retrieval and Management, D. Feng Eds, Springer,2003.
   2. Elhabiby M, Elsharkawy A, El-Sheimy N. Second Generation Curvelet Transform Vs Wavelet Transforms and Canny Edge Detector for Edge Detection from World View-2 data, Int. J. Comput Sci. & Eng Survey (IJCSES) 2012; 3: 1-13
   3. Jeena Jacob, K. G. Srinivasagan, and K. Jeya Priya, Local oppugnant texture pattern for image retrieval system. Pattern RecognitionLetters, vol.42 pp.72-78, 2014.
   4. D. Zhang, M. M. Islam, G. Lu, and I. J. Sumana. Rotation Invariant Curvelet Features for Region Based Image Retrieval. International Journal of Computer Vision, vol.2 pp.187-201, 2012.
   5. Fan-Hui Kong, and Harbin. Image retrieval using both color and texture. Proceedings in IEEE International Conference on Machine Learning Cybernatics, vol.4 pp. 2228 – 2232, 2009.
   6. Manimala Sinha, and K. Hemachandran. Content Based Image Retrieval using color and texture. International Journal of Signal and Image Processing, vol.3 pp. 39-56, 2012.
   7. M. Levine. Vision in Man and Machine. McGraw-Hill 1985.
   8. Jing Yi Tou, Yong Haur Tay, and Phooi Yee Lau. One dimensional Greylevel Co-occurrence Matrices for texture classification, IEEE International symposium on. Information Technology, pp.1-6, 2008.
   9. M. Subrahmanyan Q. M. Jonathan, Wu, R. P. Maheshwari, and R. Balasubramanian. Modified color motif co-occurrence matrix for image indexing and retrieval. Computer. Electrical. Engineering, pp.1 762-774, 2013.