Authors:
Igor Gurevich
and
Vera Yashina
Affiliation:
Dorodnicyn Computing Center of the Russian Academy of Sciences, Russian Federation
Keyword(s):
Algebraic Approach, Descriptive Approach, Image Analysis.
Abstract:
The presentation is devoted to the research of mathematical fundamentals for image analysis and recognition procedures being conducted currently in the Dorodnicyn Computing Centre of the Russian Academy of Sciences, Moscow, Russian Federation. The paper presents and discusses the main results obtained using the Descriptive Approach to Analysing and Understanding of Images when solving fundamental problems of the formalization and systematization of the methods and forms of representing information in the problems of the analysis, recognition, and understanding of images. In particular, the problems arise in connection with the automation of information extraction from images in order to make intelligent decisions (diagnostics, prediction, detection, evaluation, and identification of patterns). 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) automate
d 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.
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