结合判别函数的分形IFS图像检索

陈添丁; 刘济林

结合判别函数的分形IFS图像检索

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出版历程
- 收稿日期: 2002-08-26
- 修回日期: 2003-01-15
- 刊出日期: 2003-12-19

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

摘要

摘要: 该文提出一种分形编码的图像比对搜索方法,即把迭代函数系可反映图像的拓扑特性,用于图像的储存和检索.而图像经过分形编码后,得到大量资料,需要一个有效的方法进行检索,文中根据Fisher判别函数来判定图像相似度.实验结果表明,图像比对搜索引擎能准确找出查询图像的相似图像外,还证实本方法对图像有一定的容错性能,能有效地提高图像比对搜索引擎在实际应用中的可适性。
- 迭代函数系; 检索; 判别函数; 比对搜索引擎
Abstract: In this paper, a new method of image compare search engine for fractal coding is proposed, namely using image topology characteristic of Iterative Function System (IFS) and applying to image deposit and retrieval. However, the image produces a lot of data by fractal coding and needs an effective method to retrieval, so this paper is based on Fisher discriminant function to estimate images similarity. Experiment shows image compare search engine can get exactly similar image of query image, it also has been testified better for tolerate-error and can effectively improve adaptivity in practice of image compare search engine.

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参考文献(1)

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

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