An Extraction Algorithm for Image Edge Based on Multifractal Analysis

Da Hui Li; Ming Diao

doi:10.4028/www.scientific.net/AMR.179-180.554

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 179-180An Extraction Algorithm for Image Edge Based on...

An Extraction Algorithm for Image Edge Based on Multifractal Analysis

Abstract:

In the paper, the first introduced multifractal features of image, and defined some measures; then described procedures of the edge extraction algorithm; the final analyses the results of experiment and selection criteria commonly used in multifractal, proposing a different multiple fractal image, the algorithm has excellent effect on edge extraction, highlights the detail information of the main edge.

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Periodical:

Advanced Materials Research (Volumes 179-180)

Pages:

554-557

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.179-180.554

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Online since:

January 2011

Authors:

Da Hui Li, Ming Diao

Keywords:

Extraction Algorithm, Image Edge, Multifractal Analysis

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References

[1] T.S. Parker, L.O. Chua. Practical Numerical Algorithms for Chaotic Systems. New York: Springer, (2001).

Google Scholar

[2] B.B. Elbrot. The Fractal Geometry of Nature. San Francisco: Freeman, (2000).

Google Scholar

[3] C. Pickover, A. Khorasani. Fractal Characterization of Speech Waveform Graphs. Computer and Graphics, 2001, 10 (1): 55-61.

DOI: 10.1016/0097-8493(86)90068-3

Google Scholar

[4] M.F. Barnsley, J.H. Elton and D. P. Hardin. Recurrent Iterated Function Systems. Constructive Approximation, 2005, 5 (1): 3-31.

DOI: 10.1007/978-1-4899-6886-9_1

Google Scholar

[5] L.J. Vehel. Introduction to the Multifractal Analysis of Image. Fractal Image Encoding and Analysis. New York: Springer Verlag, (2007).

Google Scholar

[6] L.J. Vehel. Multifractal Segmentation of Image. Fractals, 2001, 2(2): 371-377.

Google Scholar

[7] G. Brown, G. Michon. On the Multifractal Analysis of measure. J. Stat. Phys. , 2004, 66(43): 159-790.

Google Scholar