Research of the Image-Based Automatic Identification of the High-Strength Al-Alloy Grain Size


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In the quantitative analysis of metallographic organization, the grain size is a fundamental parameter. The traditional methods of getting the grain size depend on artificiality. These means have strong subjectivity and low efficiency. In this paper, a new digital image processing technology method is proposed for the measurement of the grain size. The experiment with the 7050 Al-alloy samples show that the proposed algorithm has performed well compared with the artificial methods.



Edited by:

Helen Zhang and David Jin




L. X. Zhang et al., "Research of the Image-Based Automatic Identification of the High-Strength Al-Alloy Grain Size", Advanced Materials Research, Vol. 531, pp. 547-553, 2012

Online since:

June 2012




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