Skip to main content
SpringerLink
Log in

Morphological Texture Analysis: An Introduction

  • Chapter
  • First Online:
Morphology of Condensed Matter

Part of the book series: Lecture Notes in Physics ((LNP,volume 600))

Abstract

Texture is commonly defined as the characteristic physical structure given to an object by the size, shape, arrangement, and proportions of its parts. Texture characterisation is therefore a difficult problem that cannot be solved by a single measurement. Mathematical morphology, being a theory for the analysis of spatial structures, naturally offers a variety of techniques useful for texture characterisation. We show that the shape, size, orientation, and periodicity of ordered textures as well as some features of disordered textures can be revealed by appropriate morphological transformations.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
eBook
USD 16.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. R. Adams. Radial decomposition of discs and spheres. Computer Vision, Graphics, and Image Processing: Graphical Models and Image Processing, 55(5):325–332, September 1993.

    Google Scholar 

  2. Anonymous. Webster’s Encyclopedic Unabridged Dictionary. Gramercy Books, New York, 1994.

    Google Scholar 

  3. A. Aubert, D. Jeulin, and R. Hashimoto. Surface texture classification from morphological transformations. In J. Goutsias, L. Vincent, and D. Bloomberg, editors, Mathematical Morphology and its Applications to Image and Signal Processing, pages 253–262, Boston, 2000. Kluwer Academic Publishers.

    Google Scholar 

  4. C. Bhagvati, D. Grivas, and M. Skolnick. Gaussian normalization of morphological opening distributions to increase their sensitivity to texture variations and its application in pavement distress assessment. In International Conference on Computer Vision and Pattern Recognition, pages 800–804, Seattle, Washington, USA, June 1994.

    Google Scholar 

  5. J. Bresenham. Algorithm for computer control of digital plotter. IBM System Journal, 4:25–30, 1965.

    Article  Google Scholar 

  6. P. Brodatz. Textures: A photographic album for artists and designers. Dover Publications, New York, 1966.

    Google Scholar 

  7. Y. Chen and E. Dougherty. Gray-scale morphological granulometric texture classification. Optical Engineering, 33(8):2713–2722, August 1994.

    Article  ADS  Google Scholar 

  8. Y. Chen, E. Dougherty, S. Totterman, and J. Hornak. Classification of trabecular structure in magnetic resonance images based on morphological granulometries. Magnetic Resonance in Medicine, 29:358–370, 1993.

    Article  Google Scholar 

  9. E. Dougherty and J. Pelz. Morphological granulometric analysis of electrophotographic images — size distribution statistics for process control. Optical Engineering, 30(4):438–445, 1991.

    Article  ADS  Google Scholar 

  10. E. Dougherty, J. Pelz, F. Sand, and A. Lent. Morphological image segmentation by local granulometric size distributions. Journal of Electronic Imaging, 1(1):40–60, January 1992.

    Article  ADS  Google Scholar 

  11. R. Duda and P. Hart. Pattern classification and scene analysis. John Wiley & Sons, New York, 1973.

    MATH  Google Scholar 

  12. R. Haralick. Statistical and structural approaches to texture. Proceedings of the IEEE, 67(5):768–804, May 1979.

    Article  Google Scholar 

  13. H. Heijmans. Morphological image operators. Advances in Electronics and Electron Physics Series. Academic Press, Boston, 1994.

    MATH  Google Scholar 

  14. R. Jones and P. Soille. Periodic lines: Definition, cascades, and application to granulometries. Pattern Recognition Letters, 17(10):1057–1063, September 1996. http://www.elsevier.nl/gej-ng/10/35/61/13/12/18/abstract.html

    Article  Google Scholar 

  15. A. Knoll, A. Horvat, K. Lyakhova, G. Krausch, G. Sevink, A. Zvelindovsky, and R. Magerle. Phase behavior in thin films of cylinder forming block copolymers. Physical Review Letters, 2002. Submitted.

    Google Scholar 

  16. W. Li, V. Haese-Coat, and J. Ronsin. Residues of morphological filtering by reconstruction for texture classification. Pattern Recognition, 30(7):1081–1093, 1997.

    Article  Google Scholar 

  17. R. Magerle. Nanotomography: Real-space volume imaging with scanning probe microscopy. Lecture Notes in Physics, This volume, 2002.

    Google Scholar 

  18. G. Matheron. Random sets and integral geometry. Wiley, New York, 1975.

    MATH  Google Scholar 

  19. J. Mattioli and M. Schmitt. On information contained in the erosion curve. In Y.-L. O, A. Toet, D. Foster, H. Heijmans, and P. Meer, editors, Shape in Picture: Mathematical Description of Shape in Grey-level Images, pages 177–195. Springer-Verlag, 1994.

    Google Scholar 

  20. A. Mauricio and C. Figueiredo. Texture analysis of grey-tone images by mathematical morphology: A nondestructive tool for the quantitative assessment of stone decay. Mathematical Geology, 32(5):619–642, 2000.

    Article  Google Scholar 

  21. A. Rao. A taxonomy for texture description and identification. Springer-Verlag, New York, 1990.

    MATH  Google Scholar 

  22. T. Reed and J. du Buf. A review of recent texture segmentation and feature extraction techniques. Computer Vision and Image Understanding, 57(3):359–372, May 1993.

    Article  Google Scholar 

  23. J. Serra. Image analysis and mathematical morphology. Academic Press, London, 1982.

    MATH  Google Scholar 

  24. J. Serra, editor. Image analysis and mathematical morphology. Volume 2: Theoretical advances. Academic Press, London, 1988.

    Google Scholar 

  25. K. Sivakumar and J. Goutsias. Discrete morphological size distributions and densities: estimation techniques and applications. Journal of Electronic Imaging, 6(1):31–53, January 1997.

    Article  ADS  Google Scholar 

  26. P. Soille. Morphologische Bildverarbeitung. Springer-Verlag, Berlin, Heidelberg, 1998. ISBN 3-540-64323-0. URL http://web.ukonline.co.uk/soille/buch1st.

    Google Scholar 

  27. P. Soille. Morphological image analysis. Springer-Verlag, Berlin, New York, 1999. URL http://ams.egeo.sai.jrc.it/soille/book1st.

    MATH  Google Scholar 

  28. P. Soille. Morphological operators with discrete line segments. Lecture Notes in Computer Science, 1953:78–98, 2000.

    Article  Google Scholar 

  29. P. Soille. Advances in the analysis of topographic features on discrete images. Lecture Notes in Computer Science, 2301:175–186, March 2002.

    Article  MathSciNet  Google Scholar 

  30. P. Soille, E. Breen, and R. Jones. Recursive implementation of erosions and dilations along discrete lines at arbitrary angles. IEEE Transactions on Pattern Analysis and Machine Intelligence, 18(5):562–567, May 1996.

    Article  Google Scholar 

  31. P. Soille and J.-F. Rivest. On the validity of fractal dimension measurements in image analysis. Journal of Visual Communication and Image Representation, 7(3):217–229, September 1996. URL http://www.idealibrary.com/links/artid/jvci.1996.0020.

    Article  Google Scholar 

  32. P. Soille and H. Talbot. Directional morphological filtering. IEEE Transactions on Pattern Analysis and Machine Intelligence, 23(11):1313–1329, November 2001. URL http://computer.org/tpami/tp2001/i1313abs.htm.

    Article  Google Scholar 

  33. D. Stoyan and H. Stoyan. Fractals, random shapes, and point fields. John Wiley & Sons, Chichester, 1994.

    MATH  Google Scholar 

  34. L. Van Gool, P. Dewaele, and A. Oosterlinck. Texture analysis anno 1983. Computer Vision, Graphics, and Image Processing, 29:336–357, 1985.

    Article  Google Scholar 

  35. M. Vanrell and J. Vitrià. Mathematical morphology, granulometries, and texture perception. In E. Dougherty, P. Gader, and J. Serra, editors, Image algebra and morphological image processing IV, volume SPIE-2030, pages 152–161, July 1993.

    Google Scholar 

  36. P. Wagner. Texture analysis. In B. Jähne, H. Haußcker, and P. Geißer, editors, Handbook of Computer Vision and Applications, volume 2, chapter 12, pages 275–308. Academic Press, San Diego, 1999.

    Google Scholar 

  37. D. Wang, V. Haese-Coat, A. Bruno, and J. Ronsin. Texture classification and segmentation based on iterative morphological decomposition. Journal of Visual Communication and Image Representation, 4(3):197–214, September 1993.

    Article  Google Scholar 

  38. H. Wechsler. Texture analysis: A survey. Signal Processing, 2:271–282, 1980.

    Article  Google Scholar 

  39. X. Zheng, P. Gong, and M. Strome. Characterizing spatial structure of tree canopy using colour photographs and mathematical morphology. Canadian Journal of Remote Sensing, 21(4):420–428, 1995.

    Google Scholar 

  40. Z. Zhou and A. Venetsanopoulos. Analysis and implementation of morphological skeleton transforms. Circuits Systems Signal Process, 11(1):253–280, 1992.

    Article  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. EC Joint Research Centre, Institute for Environment and Sustainability, I-21020, Ispra (Va), Italy

    Pierre Soille

Authors
  1. Pierre Soille
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Max-Planck-Institut für Metallforschung, Heisenbergstrasse 1, 70569, Stuttgart, Germany

    Klaus Mecke

  2. Fakultät für Mathematik und Informatik Institut für Stochastik, TU Bergakademie Freiberg, 09596, Freiberg, Germany

    Dietrich Stoyan

Rights and permissions

Reprints and permissions

Copyright information

© 2002 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Soille, P. (2002). Morphological Texture Analysis: An Introduction. In: Mecke, K., Stoyan, D. (eds) Morphology of Condensed Matter. Lecture Notes in Physics, vol 600. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45782-8_9

Download citation

  • DOI: https://doi.org/10.1007/3-540-45782-8_9

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-44203-5

  • Online ISBN: 978-3-540-45782-4

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation