THE DESCRIPTIVE TECHNIQUES FOR IMAGE ANALYSIS AND RECOGNITION

Igor Gurevich

Abstract

The presentation is devoted to the research of mathematical fundamentals for image analysis and recognition procedures. The final goal of this research is automated image mining: a) automated design, test and adaptation of techniques and algorithms for image recognition, estimation and understanding; b) automated selection of techniques and algorithms for image recognition, estimation and understanding; c) automated testing of the raw data quality and suitability for solving the image recognition problem. The main instrument is the Descriptive Approach to Image Analysis, which provides: 1) standardization of image analysis and recognition problems representation; 2) standardization of a descriptive language for image analysis and recognition procedures; 3) means to apply common mathematical apparatus for operations over image analysis and recognition algorithms, and over image models. It is shown also how and where to link theoretical results in the foundations of image analysis with the techniques used to solve application problems.

References

  1. Gurevich, I.B., 1989. The Descriptive Framework for an Image Recognition Problem. In Proceedings of The 6th Scandinavian Conference on Image Analysis (Oulu, June 19 - 22, 1989): in 2 volumes, 1, 220-227. Pattern Recognition Society of Finland.
  2. Gurevich, I.B., 1991. Descriptive Technique for Image Description, Representation and Recognition. In Pattern Recognition and Image Analysis: Advances in Mathematical Theory and Applications in the USSR, 1(1), 50 - 53. MAIK “Nauka/Interperiodica”, Moscow.
  3. Gurevich, I.B., Yashina, V.V., November 2003. Conditions of Generating Descriptive Image Algebras by a Set of Image Processing Operations. In Progress in Pattern Recognition, Speech and Image Analysis. Proceedings of the 8th Iberoamerican Congress on Pattern Recognition, November 26-29, 2003, Havana, Cuba, CIARP'2003, LNCS 2905, 498-505. SpringerVerlag Berlin Heidelberg.
  4. Gurevich, I.B., Yashina, V.V., 2003. Descriptive Image Algebras with One Ring. In Pattern Recognition and Image Analysis: Advances in Mathematical Theory and Application, 13(4), 579-599. MAIK “Nauka/Interperiodica”, Moscow.
  5. Gurevich, I.B., Yashina, V.V., 2004. Application of algebraic language in image analysis. Illustrative example. In Proceedings of the 7th International conference "Pattern Recognition and Image Analysis: New Information Technologies" (PRIA-7-2004), St. Petersburg, Russian Federation, 1, 240-243.
  6. Gurevich, I.B., Zhuravlev, Y.I., 2002. An Image Algebra Accepting Image Models and Image Transforms. In Proceedings of the 7th International Workshop "Vision, Modeling, and Visualization 2002" (VMV2002), November 20 - 22, 2002, Erlangen, Germany, 21-26. IOS Press.
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Paper Citation


in Harvard Style

Gurevich I. (2007). THE DESCRIPTIVE TECHNIQUES FOR IMAGE ANALYSIS AND RECOGNITION . In Proceedings of the Second International Conference on Computer Vision Theory and Applications - Volume 3: Mathematical and Linguistic Techniques for Image Mining, (VISAPP 2007) ISBN 978-972-8865-75-7, pages 223-229. DOI: 10.5220/0002071302230229


in Bibtex Style

@conference{mathematical and linguistic techniques for image mining07,
author={Igor Gurevich},
title={THE DESCRIPTIVE TECHNIQUES FOR IMAGE ANALYSIS AND RECOGNITION},
booktitle={Proceedings of the Second International Conference on Computer Vision Theory and Applications - Volume 3: Mathematical and Linguistic Techniques for Image Mining, (VISAPP 2007)},
year={2007},
pages={223-229},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002071302230229},
isbn={978-972-8865-75-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Second International Conference on Computer Vision Theory and Applications - Volume 3: Mathematical and Linguistic Techniques for Image Mining, (VISAPP 2007)
TI - THE DESCRIPTIVE TECHNIQUES FOR IMAGE ANALYSIS AND RECOGNITION
SN - 978-972-8865-75-7
AU - Gurevich I.
PY - 2007
SP - 223
EP - 229
DO - 10.5220/0002071302230229