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Author: Igor Gurevich

Affiliation: Russian Academy of Sciences, Russian Federation

Keyword(s): Image mining, descriptive approach, image algebras, image models, Generative Descriptive Trees.

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. (More)

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Paper citation in several formats:
Gurevich, I. (2007). THE DESCRIPTIVE TECHNIQUES FOR IMAGE ANALYSIS AND RECOGNITION. In Proceedings of the Second International Conference on Computer Vision Theory and Applications (VISAPP 2007) - Mathematical and Linguistic Techniques for Image Mining; ISBN 978-972-8865-75-7; ISSN 2184-4321, SciTePress, pages 223-229. DOI: 10.5220/0002071302230229

@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 (VISAPP 2007) - Mathematical and Linguistic Techniques for Image Mining},
year={2007},
pages={223-229},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002071302230229},
isbn={978-972-8865-75-7},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the Second International Conference on Computer Vision Theory and Applications (VISAPP 2007) - Mathematical and Linguistic Techniques for Image Mining
TI - THE DESCRIPTIVE TECHNIQUES FOR IMAGE ANALYSIS AND RECOGNITION
SN - 978-972-8865-75-7
IS - 2184-4321
AU - Gurevich, I.
PY - 2007
SP - 223
EP - 229
DO - 10.5220/0002071302230229
PB - SciTePress