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Analysis and recognition of piecewise constant texture images

  • Image Processing, Analysis, Recognition, and Understanding
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Abstract

New methods of recognition of texture-valued images have been proposed and analyzed. These methods derive from the well-known morphological approach to analysis and recognition [1, 2] of intensity-valued images. In order to convert texture characteristics into numeric intensity values, texture detectors have been developed. The proposed algorithms are tested in application to the problem of digit recognition.

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References

  1. Yu. P. Pyt’ev, Dokl. Akad. Nauk SSSR 269(5), 1061 (1983) [in Russian].

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  2. Yu. P. Pyt’ev, Pattern Recogn. Image Anal. 3(1), 19 (1993).

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  3. A.A. Borovkov, Mathematical Statistics. Additional Chapters (Nauka, Moscow, 1984) [in Russian].

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  4. Yu. P. Pyt’ev and G. S. Zhivotnikov, in Intellectual Systems 6(1–4) (2001) [in Russian].

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Authors and Affiliations

  1. Faculty of Physics, Moscow State University, Leninskie gory, Moscow, 119992, Russia

    S. O. Evsegneev & Yu. P. Pyt’ev

Authors
  1. S. O. Evsegneev
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  2. Yu. P. Pyt’ev
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Sergey O. Evsegneev. Born 1979. Graduated from the Faculty of Physics, Moscow State University, in 2003. Postgraduate student at the same faculty. Scientific interests: image analysis and recognition.

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Evsegneev, S.O., Pyt’ev, Y.P. Analysis and recognition of piecewise constant texture images. Pattern Recognit. Image Anal. 16, 398–405 (2006). https://doi.org/10.1134/S1054661806030096

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  • DOI: https://doi.org/10.1134/S1054661806030096

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