DocumentCode :
2366512
Title :
Multifractal Spectrum Analysis on Microscope Image of Eutectic Carbides by a Quadratic Function Fitting
Author :
Wang, Guitang ; Ning, Jing ; Zhang, Qiaofen ; Liu, Wenjuan ; Tang, Luxin
Author_Institution :
Sch. of Inf. Eng., GuangDong Univ. of Technol., Guangzhou, China
fYear :
2009
fDate :
25-27 Aug. 2009
Firstpage :
1623
Lastpage :
1627
Abstract :
Multifractal is employed to analyze standard atlas of the distribution of degree 1~8 eutectic carbides in alloy. We do a research on relationship between partition function & forming element, and multifractal spectrum & singularity. Graph of partition function & forming element presents a favorable linear in the condition of weighting factor q>0 or q<0, which proves that the distribution of eutectic carbides has character of scaling invariability in the range of 0 and 50 as ideal fractal; Graph of multifractal spectrum & singularity presents bell-shaped or hooked, and the narrower the shape is, the more symmetrical the distribution of eutectic carbides is; and vice versa. We also finds the coefficients of a polynomial multifractal spectrum of degree 2 that fits singularity, which provides eigenvalues to make advanced research on pattern recognition of degree 1~8 eutectic carbides.
Keywords :
eigenvalues and eigenfunctions; fractals; image processing; polynomials; spectral analysis; eigenvalues; eutectic carbides; forming element; microscope image; multifractal spectrum analysis; partition function; pattern recognition; polynomial multifractal spectrum; quadratic function fitting; scaling invariability; weighting factor; Eigenvalues and eigenfunctions; Fractals; Image analysis; Information analysis; Microscopy; Pattern recognition; Polynomials; Probability distribution; Shape; Steel; eutectic carbides; multifractal spectrum; quadratic function; scaling invariability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
INC, IMS and IDC, 2009. NCM '09. Fifth International Joint Conference on
Conference_Location :
Seoul
Print_ISBN :
978-1-4244-5209-5
Electronic_ISBN :
978-0-7695-3769-6
Type :
conf
DOI :
10.1109/NCM.2009.291
Filename :
5331761
Link To Document :
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