Tarafder, Mita and Chattoraj, I and Tarafder, S and Nasipuri, M (2009) Fractal Analysis to Determine Self-Similar Characteristics in the Microstructure of HSLA Steel. Materials and Manufacturing Processes, 24 . pp. 145-149.
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A procedure based on statistical pattern recognition algorithm adopted for verifying the statistical self-similarity or fractal characteristics in microstructural images of metallic materials is reported in this article. The procedure is first applied on a synthetic image to show the degree of self-similarity in them and finally it has been applied on a microstructural image of steel. The results reported in this article have been used as a precursor for implementing fractal based quantification of microstructural images. Fractal based quantification is valid when the microstructure is homogeneous within certain length scales. Self-similar or self-affine characteristics of microstructures attribute such homogeneity in materials.
|Official URL/DOI:||DOI: 10.1080/10426910802612148|
|Uncontrolled Keywords:||Autocorrelation; Bilinear; Dimension; Fractal; HSLA; Hurst exponent; Image analysis; Lath; Microstructure; Martensite; Monoscale; Power spectral density; Power spectrum; Self-similar; Steel.|
|Divisions:||Business Development and Monitoring|
|Deposited By:||Dr. Raghuvir Singh|
|Deposited On:||11 Oct 2010 10:15|
|Last Modified:||17 Feb 2012 16:40|
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