A New Method of Fractal IFS Image Database Retrieval Combining Discriminant Function

Mandelbrot B. The Fractal Geometry of Nature. San Francisco, CA: Freeman, 1982, Chapter3.[2]Barnsley M F. Fractals Everywhere. San Diego: Academic Press, 1988, Chapter 2.[3]Jacquin A E. A fractal theory of iterated Markov operators with applications to digital image coding. [Ph.D. Thesis], Georgia Institute of Technology, 1989.[4]Fisher Y, Jacobs E W, Boss R D. Iterated transformation image compression. NOSC Tech. Rep.TR-1408, San Diego, CA: Naval Oceans Systems Center, 1991.[5]Fisher Y. Fractal Image Compression: Theory and Application. New York: Springer-Verlag,1996, Chapter1.[6]Beardon A F. Iteration of Rational Functions. New York, USA: Springer-Verlag, 1991, Chapter2.[7]Dunford N, Schwartz J T. Linear Operators. New York: Wiley, 1966, Chapter4.[8]Ortega J M, Rheinboldt W C. Iterative Solution of Nonlinear Equations in Several Variables,UK: Academic Press, 1970, Chapter3.[9]Jacquin A E. Image coding base on a fractal theory of iterated contractive image transformations[J].IEEE Trans. on Image Processing.1992, 1(1):18-30[10]Yao Zhao, Baozong Yuan. A new affine transformation, its theory and application to image coding. IEEE Trans. on Circuits and Systems for Video Technology, 1998, 8(3): 47-51.[11]Jacquin A E. Fractal image coding: A review[J].Proc. IEEE.1993, 81(10):1451-1465[12]Finlayson G D, Chatterjee S S, Funt B V. Color angular indexing. ECCV96, New York: 1996,vol. 11: 16-27.[13]Pei S C, Cheng C M. Extracting color features and dynamic matching for image data-base retrieval[J].IEEE Trans. on Circuits and Systems for Video Technology.1999, 9(3):501-512