Abstract—
The publication presents an introductory paper to the Special issue of the international journal Pattern Recognition and Image Analysis: Advances in Mathematical Theory and Applications of the Russian Academy of Sciences. The main scientific results of the 8th International Workshop “Image Mining: Theory and Applications,” held on August 21, 2022, Montreal, Canada, are presented. Historical information is given on this series of international workshops, and their significant role in the development of the theory and practice of automation of image analysis, pattern recognition, and artificial intelligence is emphasized. The list of papers of the Special issue of PRIA, prepared based on the invited and regular papers selected and recommended for publication by the Program Committee of the IMTA-VIII-2022, is presented.
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This study was supported in part by the Russian Foundation for Basic Research, project no. 20-07-01031.
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Igor B. Gurevich. Born August 24, 1938. Dr.-Eng. diploma engineer (Automatic Control and Electrical Engineering), 1961, Moscow Power Engineering Institute, Moscow, USSR; Cand. Sci. (Mathematical Cybernetics), 1975, Moscow Institute of Physics and Technology (National Research University), Moscow, Soviet Union. Leading Researcher at the Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences, Moscow, Russia. He has worked from 1960 until now as an engineer, researcher, and lecturer in industry, research institutions, medicine, universities, and from 1985 in the USSR/Russian Academy of Sciences. Area of expertise: mathematical theory of image analysis, image mining, image understanding, mathematical theory of pattern recognition, theoretical computer science, medical informatics, applications of pattern recognition and image analysis techniques in biology, medicine, automation of scientific research, and knowledge-based systems.
Vera V. Yashina. Born September 13, 1980. Diploma mathematician, Moscow State University (2002). Cand. Sci. (Theoretical Foundations of Informatics), 2009, Dorodnicyn Computing Center of the Russian Academy of Sciences, Moscow. Leading researcher at the Department “Recognition, security and analysis of information” at the Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences, Moscow, Russia. She has worked from 2001 until now in the Russian Academy of Sciences. Scientific expertise: mathematical theory of image analysis, image algebras, models, and medical informatics.
Gurevich proposed, proved, and developed with his pupils the descriptive approach to image analysis and recognition (DAIA). Within DAIA a new class of image algebra was introduced, defined, and investigated (descriptive image algebras); new types of image models were introduced, classified and investigated; axioms of descriptive theory of image analysis were introduced; a common model of image recognition process was defined and investigated; new settings of image analysis and recognition problems were introduced; a notion of image equivalence was introduced and investigated; new classes of image recognition algorithms were defined and investigated; and an image formalization space was introduced, defined, and investigated.
The listed results were used in the development of software kits for image analysis and recognition, as well as for the solution of important and difficult applied problems of automated biomedical image analysis.
Gurevich is the author of 2 monographs and 307 papers in peer-reviewed journals and proceedings indexed in the Web of Science, Scopus, and Russian Science Citation Index on the platform of the Web of Science, 31 invited papers at international conferences, and holder of 8 patents. Web of Science: 22 papers; Scopus: 76 papers, 287 citations in 148 documents; Hirsh index, 10; Russian Science Citation Index on the platform of Web of Science: 129 papers; 910 citations; Hirsh index, 11.
Vice-Chairman of the National Committee for Pattern Recognition and Image Analysis of the Russian Academy of Sciences, Member of the International Association for Pattern Recognition (IAPR) Governing Board (representative from RF), IAPR Fellow. He has been the PI of 63 R&D projects as part of national and international research programs. Vice-Editor-in-Chief of the Pattern Recognition and Image Analysis: Advances in Mathematical Theory and Applications, the international journal of the RAS, member of editorial boards of several international scientific journals, and member of the program and technical committees of many international scientific conferences. Teaching experience: Lomonosov Moscow State University, Russia (Assistant Professor), Dresden Technical University, Germany (Visiting Professor), and George Mason University, United States (Research Fellow). He was supervisor of 6 PhD students and many graduate and master students.
Davide Moroni received an MSc degree (Hons.) in mathematics from the University of Pisa, in 2001, a Diploma from the Scuola Normale Superiore of Pisa, in 2002, and a PhD degree in mathematics from the University of Rome La Sapienza, in 2006. He is a Researcher with the Institute of Information Science and Technologies (ISTI), National Research Council, Pisa, Italy. He is currently the Head of the Signals and Images Lab, ISTI. He is the Chair of the MUSCLE working group (https://wiki.ercim.eu/wg/MUSCLE) of the European Consortium for Informatics and Mathematics. Since 2018, he has served as the Chair of the Technical Committee 16 on Algebraic and Discrete Mathematical Techniques in Pattern Recognition and Image Analysis (http://iapr-tc16.eu) of the International Association for Pattern Recognition (IAPR). He is an Associate Editor of IET Image Processing. His main research interests include geometric modeling, computational topology, image processing, computer vision, and medical imaging. At the moment, he is leading the CNR-ISTI team in the National Project PON MIUR S4E, working on maritime safety and security, and in the regional Project IRIDE addressing AR technologies and computer vision of Industry 4.0.
Maria Antonietta Pascali received her MSc in Mathematics honors degree from the University of Pisa in 2005 and PhD in Mathematics at the University of Rome “La Sapienza” in 2010. She is Researcher at CNR in Pisa since February 1, 2010. Member of the IAPR TC16 on “Algebraic and Discrete Mathematical Techniques in Pattern Recognition and Image Analysis.” Research interests: modeling the protein 3D motion, 3D virtual environment in cultural heritage, and heterogeneous and multimodal data integration for underwater archaeology; 3D shape analysis for e-health, thermal imaging, statistical data analysis of health-related data, applied computational topology, interplay of topological data analysis and artificial intelligence, and deep learning applied to mp-MRI images.
The main results were obtained in mathematical theory of image analysis: descriptive image algebras with one ring were defined, classified, and investigated; a new topological image formalization space was specified and investigated; descriptive generating trees were defined, classified, and investigated. The listed results were applied in biomedical image analysis.
She is the scientific secretary of the National Committee for Pattern Recognition and Image Analysis of the Presidium of the Russian Academy of Sciences. She is a member of the Educational and Membership Committees of the International Association for Pattern Recognition. She is a Vice Chair of Technical Committee No. 16 on Algebraic and Discrete Mathematical Techniques in Pattern Recognition and Image Analysis of the International Association for Pattern Recognition. She has been the member of many R&D projects as part of national and international research programs. Member of editorial board of Pattern Recognition and Image Analysis. Advances in Mathematical Theory and Applications, the international journal of the RAS. Author of 79 papers in peer-reviewed journals, as well as conference and workshop proceedings. Web of Science: 11 papers; Hirsh index, 4; Scopus: 40 papers, 162 citations in 75 papers; Hirsh index, 8; Russian Science Citation Index on the platform of Web of Science: 56 papers; 255 citations; Hirsh index, 9.
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Gurevich, I.B., Moroni, D., Pascali, M.A. et al. On Some Scientific Results of the IMTA-VIII-2022: 8th International Workshop “Image Mining: Theory and Applications”. Pattern Recognit. Image Anal. 32, 460–465 (2022). https://doi.org/10.1134/S1054661822030312
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DOI: https://doi.org/10.1134/S1054661822030312