The Approaches for Estimation of Grain Size in Digital Steel Microscopic Image

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Abstract:

The estimation of grain size is the important basis of metallographical analysis. The definitions of grain size, area, average area, chord, major axis, minor axis, diameter and average diameter are given in this article. A filling-and-elimination counting method is also introduced to count the number of grains in the digital steel microscopic image. The equations for calculating average area and diameter of grains are presented too. Finally, an algorithm for calculating grain’s average diameter is given. The experimental results show that the proposed approaches are efficient and practical.

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466-470

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March 2012

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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