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Part of the book series: Computational Imaging and Vision ((CIVI,volume 5))

Abstract

This paper presents a new method of texture characterization and defect detection in textures, based on mathematical morphology transformations: structural opening and top-hat. The structural opening and its properties of invariance allow the extraction of primitive patterns from a texture, some kind of “textons” which entirely characterize it. As a result, a defect detection can be performed by a top-hat transformation for a similar textural set with defects.

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References

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© 1996 Kluwer Academic Publishers

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Huet, F., Mattioli, J. (1996). A Textural Analysis by Mathematical Morphology. In: Maragos, P., Schafer, R.W., Butt, M.A. (eds) Mathematical Morphology and its Applications to Image and Signal Processing. Computational Imaging and Vision, vol 5. Springer, Boston, MA. https://doi.org/10.1007/978-1-4613-0469-2_34

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  • DOI: https://doi.org/10.1007/978-1-4613-0469-2_34

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4613-8063-4

  • Online ISBN: 978-1-4613-0469-2

  • eBook Packages: Springer Book Archive

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