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An open general-purposes research system for automating the development and application of information technologies in the area of image processing, analysis, and evaluation

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Abstract

Algorithmic/software system (ASS) referred to as “Black Square” (BS) is described. It is intended for scientific research and education in the area of image processing, analysis, recognition, and understanding. This ASS is a software environment for designing and application of algorithms for image processing, analysis, recognition and understanding with reference and information-retrieval functions. The ASS operates by means of a unified integrated software environment constructed on a common informational and methodical basis with a common navigation shell. The minimal specification necessary for launching the BS is the following: Pentium III processor 700 MHz; 128 Mb RAM; at least 100 Mb of free space on the hard disc; and Windows 98/ME/2000/XP or Linux RedHat 9. The ASS is intended for solving the following problems: (1) education and knowledge accumulation in the area of image processing, analysis, and recognition; (2) development, testing, and storage of algorithms and information technologies for solving problems of image processing, analysis, and recognition; (3) design of problem-oriented ASSs for image analysis and recognition; (4) automation of design, investigation, and application of algorithms for image processing, analysis, recognition, and understanding; (5) automation of training for methods for image processing and analysis; and (6) well-structured and user-friendly storage of various information, including information on methods and algorithms for image processing, analysis, recognition, and understanding, as well as images themselves and information about images. The main areas of application of the BS are the following: automation of scientific research and investigations in the area of image recognition and analysis; development of information technologies; solution of applied problems in the field of medicine (diagnoses of various diseases, in particular, cancer; investigation of the influence of laser and magnetic radiation on human beings; investigation of the influence of various factors on the temperature field of a human being); aerospace survey (analysis of data of remote sensing); development of tracking and detection systems; industrial and power engineering (technical diagnostics and nondestructive monitoring); as well as ecological monitoring and emergency prediction and monitoring. As an object of intellectual property, the work is protected by two patents and two inventor’s certificates.

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Authors and Affiliations

  1. Dorodnicyn Computing Center, Russian Academy of Sciences, ul. Vavilova 40, Moscow, 119991, Russia

    I. B. Gurevich, A. V. Khilkov, I. V. Koryabkina, D. M. Murashov & Yu. O. Trusova

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  1. I. B. Gurevich
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  2. A. V. Khilkov
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  3. I. V. Koryabkina
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  4. D. M. Murashov
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Additional information

Igor B. Gurevich. Born 1938. Dr.-Eng. [Diploma Engineer (Automatic Control and Electrical Engineering), 1961, Moscow Power Engineering Institute, Moscow, USSR]; Dr. (Theoretical Computer Science/Mathematical Cybernetics), 1975, Moscow Institute of Physics and Technology, Moscow, USSR. Head of Department at the Dorodnicyn Computing Center of the Russian Academy of Sciences, Moscow, assistant professor at the Computer Science Faculty, Lomonosov Moscow State University. He has worked from 1960 till now as an engineer and researcher in industry, medicine, universities and in the Russian Academy of Sciences. Area of Expertise: Image Analysis, Image Understanding, Mathematical Theory of Pattern Recognition, Theoretical Computer Science, Pattern Recognition and Image Analysis Techniques Applications in Medicine, Nondestructive Testing, Process Control, Knowledge Bases, Knowledge Based Systems. 2 monographs (in co-authorship), 135 papers on Pattern Recognition, Image Analysis, Theoretical Computer Science and Applications in peer reviewed international and Russian journals, conference and workshop proceedings; 1 patent of the USSR, 4 patents of the RF. Executive Secretary of “The Russian Federation Association for Pattern Recogniton and Image Analysis,” member of the International Association for Pattern Recognition Governing Board (representative from Russian Federation), IAPR Fellow. He has been the PI of many research and development projects as part of national research (applied and basic research) programs of the Russian Academy of Sciences, of the Ministry of Education and Science of the Russian Federation, of the Russian Foundation for Basic Research, of Soros Foundation, of INTAS. Vice Editor-in-Chief of Pattern Recognition and Image Analysis, International Academic Publishing Company “Nauka/Interperiodica” Pleiades Publishing.

Andrei V. Khilkov. Born 1964. Graduated from the Moscow Institute of Physics and Technology, Department of the Control and Applied Mathematics in 1987. Received PhD (Kandidat Nauk) degree (Physics and Mathematics) in 1990. From 1990 he has been with the Scientific Council on Cybernetics, RAS.

Scientific interests: pattern recognition, image processing and understanding, discrete optimization, and optimum control. Author of more than 20 papers.

Irina V. Koryabkina. Graduated from Moscow State University in 2000. Researcher at Dorodnicyn Computing Center of the Russian Academy of Sciences. Scientific interests: pattern recognition and image analysis, descriptive approach to image analysis and recognition, informational nature of images. Seventeen publications (including those in coauthorship). Head of the Secretariat of the Russian Association of Pattern Recognition and Image Analysis. Laureate of the “Aspirant-2003” Award, 2003. Presentations at conferences have been distinguished among the best contributions by young authors.

Dmitrii M. Murashov. Born 1958. Graduated from the Moscow Aviation Institute in 1981. Specialist in systems of automated control. Since 1983 has been with the Scientific Council on Cybernetics, Russian Academy of Sciences, now as a senior researcher. Received his PhD (Kandidat Nauk) degree (Tech.) in 1990. Scientific interests include pattern recognition; image processing, analysis, and understanding; artificial intelligence systems; and automated control systems. Author of more than 30 papers.

Yuliya O. Trusova. Born in 1980. Graduated from the Faculty of Computational Mathematics and Cybernetics of the Moscow State University in 2002. Works at Dorodnicyn Computing Center of the Russian Academy of Sciences. Scientific interests: mathematical theory of pattern recognition and image analysis, methods of discrete mathematics, databases and knowledge bases, and structural linguistics Has 16 publications (in coauthorship). Laureate of the “Aspirant” Award, 2003–2005. Member of the Russian Association for Pattern Recognition and Image Analysis.

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Gurevich, I.B., Khilkov, A.V., Koryabkina, I.V. et al. An open general-purposes research system for automating the development and application of information technologies in the area of image processing, analysis, and evaluation. Pattern Recognit. Image Anal. 16, 530–563 (2006). https://doi.org/10.1134/S105466180604002X

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