Abstract

This paper discusses methods of segmenting complex texture images. A method of multiscale wavelet segmentation of color textures has been developed, based on their characteristic attributes and chromaticity characteristics. Multiscale image analysis is used to form the texture attributes. The method makes it possible to combine estimates of the texture characteristics on the basis of the discrete wavelet transformation and the color characteristics of the texture. Estimates of the segmentation efficiency are obtained from the number of iterations of the wavelet transformation, the type of wavelet basis, the form of the color-coordinate space, and the size of the filtering window for estimating the segmentation attributes.

© 2012 OSA

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  1. V. T. Fisenko and T. Yu. Fisenko, “Segmentation of color texture images,” in International Conference, Applied Optics, Collection of Papers, Vol. 3, St. Petersburg, 2008, pp. 359–363.
  2. V. T. Fisenko and T. Yu. Fisenko, Computer Processing and Image Recognition. A Textbook (SPbGU ITMO, St. Petersburg, 2008).
  3. R. M. Haralick, “Statistical and structural approaches to texture,” Proc. IEEE 67, 786 (1979).
    [CrossRef]
  4. S. Malla, Wavelets in Signal Processing (Mir, Moscow, 2005).
  5. A. V. Leonenkov, Fuzzy Modelling in the matlab and fuzzytech medium (BKhV-Peterburg, St. Petersburg, 2005).
  6. V. T. Fisenko and T. Yu. Fisenko, “Method of automatically analyzing color images,” Opt. Zh. 70, No. 9, 18 (2003). [J. Opt. Technol. 70, 637 (2003)].
  7. B. Manjunath, J.-R. Ohm, V. Vasudevan, and A. Yamada, “Color and texture descriptors,” IEEE Trans. Circuits Syst. Video Technol. 11, 703 (2001).
    [CrossRef]
  8. P. Brodatz, A Photographic Album for Artists and Designers (Dover, New York, 1966).
  9. Vision Texture (electronic resource), http://vismod.media.mit.edu/vismod/imagery/VisionTexture/vistex.html (2012).
  10. University of Oulu texture database (electronic resource), http://www.outex.oulu.fi (2012).

2003 (1)

V. T. Fisenko and T. Yu. Fisenko, “Method of automatically analyzing color images,” Opt. Zh. 70, No. 9, 18 (2003). [J. Opt. Technol. 70, 637 (2003)].

2001 (1)

B. Manjunath, J.-R. Ohm, V. Vasudevan, and A. Yamada, “Color and texture descriptors,” IEEE Trans. Circuits Syst. Video Technol. 11, 703 (2001).
[CrossRef]

1979 (1)

R. M. Haralick, “Statistical and structural approaches to texture,” Proc. IEEE 67, 786 (1979).
[CrossRef]

Brodatz, P.

P. Brodatz, A Photographic Album for Artists and Designers (Dover, New York, 1966).

Fisenko, T. Yu.

V. T. Fisenko and T. Yu. Fisenko, “Method of automatically analyzing color images,” Opt. Zh. 70, No. 9, 18 (2003). [J. Opt. Technol. 70, 637 (2003)].

V. T. Fisenko and T. Yu. Fisenko, Computer Processing and Image Recognition. A Textbook (SPbGU ITMO, St. Petersburg, 2008).

V. T. Fisenko and T. Yu. Fisenko, “Segmentation of color texture images,” in International Conference, Applied Optics, Collection of Papers, Vol. 3, St. Petersburg, 2008, pp. 359–363.

Fisenko, V. T.

V. T. Fisenko and T. Yu. Fisenko, “Method of automatically analyzing color images,” Opt. Zh. 70, No. 9, 18 (2003). [J. Opt. Technol. 70, 637 (2003)].

V. T. Fisenko and T. Yu. Fisenko, Computer Processing and Image Recognition. A Textbook (SPbGU ITMO, St. Petersburg, 2008).

V. T. Fisenko and T. Yu. Fisenko, “Segmentation of color texture images,” in International Conference, Applied Optics, Collection of Papers, Vol. 3, St. Petersburg, 2008, pp. 359–363.

Haralick, R. M.

R. M. Haralick, “Statistical and structural approaches to texture,” Proc. IEEE 67, 786 (1979).
[CrossRef]

Leonenkov, A. V.

A. V. Leonenkov, Fuzzy Modelling in the matlab and fuzzytech medium (BKhV-Peterburg, St. Petersburg, 2005).

Malla, S.

S. Malla, Wavelets in Signal Processing (Mir, Moscow, 2005).

Manjunath, B.

B. Manjunath, J.-R. Ohm, V. Vasudevan, and A. Yamada, “Color and texture descriptors,” IEEE Trans. Circuits Syst. Video Technol. 11, 703 (2001).
[CrossRef]

Ohm, J.-R.

B. Manjunath, J.-R. Ohm, V. Vasudevan, and A. Yamada, “Color and texture descriptors,” IEEE Trans. Circuits Syst. Video Technol. 11, 703 (2001).
[CrossRef]

Vasudevan, V.

B. Manjunath, J.-R. Ohm, V. Vasudevan, and A. Yamada, “Color and texture descriptors,” IEEE Trans. Circuits Syst. Video Technol. 11, 703 (2001).
[CrossRef]

Yamada, A.

B. Manjunath, J.-R. Ohm, V. Vasudevan, and A. Yamada, “Color and texture descriptors,” IEEE Trans. Circuits Syst. Video Technol. 11, 703 (2001).
[CrossRef]

IEEE Trans. Circuits Syst. Video Technol. (1)

B. Manjunath, J.-R. Ohm, V. Vasudevan, and A. Yamada, “Color and texture descriptors,” IEEE Trans. Circuits Syst. Video Technol. 11, 703 (2001).
[CrossRef]

Opt. Zh. (1)

V. T. Fisenko and T. Yu. Fisenko, “Method of automatically analyzing color images,” Opt. Zh. 70, No. 9, 18 (2003). [J. Opt. Technol. 70, 637 (2003)].

Proc. IEEE (1)

R. M. Haralick, “Statistical and structural approaches to texture,” Proc. IEEE 67, 786 (1979).
[CrossRef]

Other (7)

S. Malla, Wavelets in Signal Processing (Mir, Moscow, 2005).

A. V. Leonenkov, Fuzzy Modelling in the matlab and fuzzytech medium (BKhV-Peterburg, St. Petersburg, 2005).

V. T. Fisenko and T. Yu. Fisenko, “Segmentation of color texture images,” in International Conference, Applied Optics, Collection of Papers, Vol. 3, St. Petersburg, 2008, pp. 359–363.

V. T. Fisenko and T. Yu. Fisenko, Computer Processing and Image Recognition. A Textbook (SPbGU ITMO, St. Petersburg, 2008).

P. Brodatz, A Photographic Album for Artists and Designers (Dover, New York, 1966).

Vision Texture (electronic resource), http://vismod.media.mit.edu/vismod/imagery/VisionTexture/vistex.html (2012).

University of Oulu texture database (electronic resource), http://www.outex.oulu.fi (2012).

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