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Mineral cleavage analysis via the hough transform

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Book cover Pattern Recognition (PAR 1988)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 301))

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Abstract

The development of an image processing scheme for the analysis of cleavage cracks in minerals is described. The scheme is designed for use on digitised rock thin section micrographs. The cracks in a crystal image are isolated, and thresholded to create a binary image. The Hough transform is used to detect the presence of alignments in these data. Alignments create maxima in the transform space which are detected via the maxima in a one dimensional distribution. This distribution is formed by first convolving the transform space with a shaping filter then taking a projection. The cleavage orientations may be deduced from the transform, but the endpoints of the cleavage cracks cannot be similarly determined. Instead, the extent of each cleavage present is deduced from the results of filtering the data with median operators oriented at the measured angles. This produces useful estimates of each cleavage which will serve as the basis for further analysis. The techniques presented may be of use in other applications areas which require the analysis of families of parallel alignments.

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Authors and Affiliations

  1. Department of Computer Science and Applied Mathematics, Aston University, B4 7ET, Birmingham

    R. C. Thomson & E. Sokolowska

Authors
  1. R. C. Thomson
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  2. E. Sokolowska
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J. Kittler

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© 1988 Springer-Verlag Berlin Heidelberg

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Thomson, R.C., Sokolowska, E. (1988). Mineral cleavage analysis via the hough transform. In: Kittler, J. (eds) Pattern Recognition. PAR 1988. Lecture Notes in Computer Science, vol 301. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-19036-8_39

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  • DOI: https://doi.org/10.1007/3-540-19036-8_39

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-19036-3

  • Online ISBN: 978-3-540-38947-7

  • eBook Packages: Springer Book Archive

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