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Journal of Optical Technology

Journal of Optical Technology


  • Vol. 77, Iss. 3 — Mar. 1, 2010
  • pp: 194–197

The transformation of images using similarity to a standard and its application

T. A. Sheremet'eva, G. N. Filippov, and A. M. Malov  »View Author Affiliations

Journal of Optical Technology, Vol. 77, Issue 3, pp. 194-197 (2010)

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This article is devoted to the applied aspects of a method of transforming images that uses the principle of similarity to a standard. The method is based on software that makes it possible to carry out the transformations either automatically or with the interactive participation of the user. The method is suitable for processing multichannel (multizonal, hyperspectral) images. The processing has the goal of making it possible to distinguish information that is useful for a given problem, condensing the initial data. This paper presents examples of the processing of hyperspectral images. Another area in which the method of transformation by the principle of similarity to a standard can be used is automatic coordinate registration of images of the same scene obtained under various conditions (at different times, in different channels).

© 2010 Optical Society of America

T. A. Sheremet'eva, G. N. Filippov, and A. M. Malov, "The transformation of images using similarity to a standard and its application," J. Opt. Technol. 77, 194-197 (2010)

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  1. R. C. Gonzalez and R. E. Woods, Digital Image Processing (Prentice Hall, Upper Saddle River, N. J., 2002; Tekhnosfera, Moscow, 2006).
  2. B. Jähne, Digital Image Processing (Springer, Berlin, 2005; Tekhnosfera, Moscow, 2007).
  3. T. A. Sheremetyeva, “Method of representation of remote-sensing data that facilitates visual interpretation,” in Proceedings of the Fifth International Conference on Space Optics (ICSO2004), SP-554, Toulouse, France.
  4. T. A. Sheremet'eva and G. N. Filippov, “Method of transforming images” Russian Patent No. 2 267 232 (2005).
  5. T. A. Sheremetyeva, G. N. Filippov, and A. M. Malov, “Visualization of multispectral images,” International Symposium OPTRO 2005, Paris, France.
  6. A. S. Vasileĭskiĭ, “Investigation of methods of combining video remote-probing data,” Author's Abstract of Dissertation for Candidate of Physicomathematical Sciences, Moscow, IKI RAN (2003).

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