SOME MODELS OF RASTER CORRELATORS OF BINARY IMAGES

Authors

  • Ruslan R. Zholtikov
  • Mikhail M. Tatur

DOI:

https://doi.org/10.47839/ijc.3.1.252

Keywords:

Pattern recognition, binary raster, raster correlators, fuzzy boundary

Abstract

In paper the outcomes of mathematical modeling of statistical recognition of binary images are proposed. The offered hypothesis that the pixels constituting boundary of recognition object and an image background are secondary attributes at recognition is experimentally confirmed. As consequence, recognition reliability can be raised due to exception of these pixels at recognition. Basing on the offered example of training of models on the fixed training sample and taking into account that the prototype model is a special case of the rejecting model we have noted that recognition reliability of offered model cannot be lower than reliability of the prototype. The obtained results will be used in hardware realization of binary comparators.

References

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M.J.B. Duff, T.J. Fountain. Cellular Logic Image Processing, London, Academic Press, 1986, p.278.

H.R. Tizhoosh, B.M. Otto-von-Guericke Improvement of image quality based on subjective evolution and fuzzy aggregation techniques, Proc. EUFIT’98, Aachen, Germany, 1998, v.2,1325-1329

A.Yu. Lutsyk, B.V. Kisil, O. N. Perenskyy. Image processing in real time on configurable computing architecture, Proc. 3rd International Conference “Digital Information processing and control in extreme situation”, Minsk, Belarus, 2002, pp 57-62.

P.V.Akulich, M.V. Grigor’ev, and others. Intelligent decipherer of binary images. Proc. 6th ISTC SACS “Science and Computing”, Moscow, Russia, 2003, p.104

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Published

2014-08-01

How to Cite

Zholtikov, R. R., & Tatur, M. M. (2014). SOME MODELS OF RASTER CORRELATORS OF BINARY IMAGES. International Journal of Computing, 3(1), 46-49. https://doi.org/10.47839/ijc.3.1.252

Issue

2004, Volume 3, Issue 1

Section

Articles

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