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Computer analysis of characteristic elements of fractographic images

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Materials Science Aims and scope

For the quantitative analysis of fractographic images, we have used the method of segmentation of fractographic images by multilevel thresholding. In contrast to known approaches, to decrease the distortion of a segmented image, we took into account common features characteristic of not only its large components, but also small ones, to which low peaks correspond in the histogram of brightness. This has enabled us to separate an image of a fragment of a fracture surface into connected regions and then determine and analyze their quantitative characteristics.

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Authors and Affiliations

  1. Karpenko Physicomechanical Institute, Ukrainian National Academy of Sciences, Lviv, Ukraine

    R. Ya. Kosarevych, O. Z. Student, L. M. Svirs’ka, B. P. Rusyn & H. M. Nykyforchyn

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  1. R. Ya. Kosarevych
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  2. O. Z. Student
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  3. L. M. Svirs’ka
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  4. B. P. Rusyn
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  5. H. M. Nykyforchyn
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Correspondence to O. Z. Student.

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Translated from Fizyko-Khimichna Mekhanika Materialiv, Vol. 48, No. 4, pp. 53–60, July–August, 2012.

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Kosarevych, R.Y., Student, O.Z., Svirs’ka, L.M. et al. Computer analysis of characteristic elements of fractographic images. Mater Sci 48, 474–481 (2013). https://doi.org/10.1007/s11003-013-9527-0

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