Primitive and Point Configuration Texture Model and Primitive Estimation Using Mathematical Morphology

  • Akira Asano
  • Takeshi Ohkubo
  • Mitsuji Muneyasu
  • Takao Hinamoto
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2749)


A model for texture description, called “Primitive and Point Configuration (PPC) texture model,” and an estimation method of the primitive, which is an elementary object for configuring a texture, are proposed in this paper. The PPC texture model regards that a texture is composed by arranging grains that are derived from one or a few primitives by some modification. The primitive shape is estimated by the principle that the primitive resembling the grains best should be the optimal estimation. This estimation is achieved by finding the structuring element that minimizes the integral of the size distribution function of a target texture.


  1. 1.
    T. Ojala and M. Pietikäinen, “Texture classification,” in R. B. Fisher, ed., CVonline:. The Evolving, Distributed, Non-Proprietary, On-Line Compendium of Computer. Vision. ( Scholar
  2. 2.
    Serra, J., ed.: Image Analysis and Mathematical Morphology Volume 2: Technical Advances. Academic Press (1988)Google Scholar
  3. 3.
    Serra, J.: Image Analysis and Mathematical Morphology. Academic Press (1982)Google Scholar
  4. 4.
    Maragos, P and R. W. Schafer, R. W.: Morphological skeleton representation and coding of binary image. IEEE Trans. Acoust. Speech Signal Proc. 34 (1986) 1228–1244CrossRefGoogle Scholar
  5. 5.
    Asano, A., Miyagawa, M., and Fujio, M.: Texture Modelling by Optimal Gray Scale Structuring Elements using Morphological Pattern Spectrum. Proc. 15th International Conference on Pattern Recognition 3 (2000) 479–482Google Scholar
  6. 6.
    Asano, A., Miyagawa, M., and Fujio, M.: Morphological texture analysis using optimization of structuring elements. Geometry, Morphology, and Computational Imaging, Springer LNCS 2616 (2003) 141–152CrossRefGoogle Scholar
  7. 7.
    Asano, A., Ohkubo, T., Muneyasu, M., and Hinamoto, T.: Texture Primitive Description Using Morphological Skeleton. Proc. International Symposium on Mathematical Morphology VI (2002) 101–108Google Scholar
  8. 8.
    Heijmans, H. J. A. M.: Morphological Image Operators. Academic Press (1994)Google Scholar
  9. 9.
    Maragos, P.: Pattern Spectrum and Multiscale Shape Representation. IEEE Trans. Pattern Anal. Machine Intell. 11 (1989) 701–706zbMATHCrossRefGoogle Scholar
  10. 10.
    Kobayashi, Y. and Asano, A.: Modification of spatial distribution in Primitive and Point Configuration texture model. to be presented in SCIA2003Google Scholar
  11. 11.
    Brodatz, P.: Textures — A Photographic Album for Artists and Designer. Dover, New York (1966)Google Scholar
  12. 12.
    Randen, T.: Brodatz Textures ( Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Akira Asano
    • 1
  • Takeshi Ohkubo
    • 1
  • Mitsuji Muneyasu
    • 2
  • Takao Hinamoto
    • 1
  1. 1.Hiroshima UniversityHiroshimaJapan
  2. 2.Kansai UniversitySuita, OsakaJapan

Personalised recommendations