共查询到20条相似文献,搜索用时 31 毫秒
1.
E. A. Demyanov E. V. Djukova A. S. Inyakin N. V. Peskov 《Pattern Recognition and Image Analysis》2007,17(4):578-583
The problem of processing of Gallup poll results by cluster analysis methods is considered. The aim of these polls, performed
in different subjects of the Russian Federation, is to extract main characteristics of the regions.
Demyanov Egor A. Born 1982. Graduated from the Moscow State University in 2004. Post-graduate student of the same university. Scientific interests:
discrete mathematics and mathematical methods of pattern recognition. Author of two publications.
Djukova Elena V. Born 1945. Graduated from the Moscow State University in 1967. Received candidate’s degree in Physics and Mathematics in
1979, Doctoral degree in Physics and Mathematics in 1997. Dorodnicyn Computing Center, Russian Academy of Sciences, leading
researcher. Moscow State University, lecturer. Moscow Pedagogical University, lecturer. Scientific interests: discrete mathematics
and mathematical methods of pattern recognition. Author of 76 papers.
Peskov Nikolai V. Born 1978. Graduated from the Moscow State University in 2000. Received candidate’s degree in Physics and Mathematics in
2004. Dorodnicyn Computing Center, Russian Academy of Sciences, junior researcher. Scientific interests: discrete mathematics
and mathematical methods of pattern recognition. Author of 17 papers.
Inyakin Andrey S. Born 1978. Graduated from the Moscow State University in 2000. Received candidate’s degree in 2006. Dorodnicyn Computing
Center, Russian Academy of Sciences, junior researcher. Scientific interests: discrete mathematics and mathematical methods
of pattern recognition. Author of 16 papers. 相似文献
2.
N. G. Zagoruiko I. A. Borisova V. V. Dyubanov O. A. Kutnenko 《Pattern Recognition and Image Analysis》2008,18(1):1-6
A unified approach to the development of pattern recognition methods is proposed. The approach is based on the employment
of the function of rival similarity (FRiS-function), which adequately represents human methods of evaluation of similarity
and difference. Methods of recognition based on this approach are briefly described. Examples of solution of actual and benchmark
problems using FRiS-function are given.
Nikolai Grigor’evich Zagoruiko finished a secondary school in Novosibirsk oblast. Graduated from the Electroengineering Department of the Leningrad Institute
of Motion-picture Engineers in 1953. Since 1960 has been working at the Institute of Mathematics of the Siberian Branch of
the Russian Academy of Sciences. Received candidate’s degree in 1962 and doctoral degree in Pattern Recognition in 1969. Since
1973 to 1982 had been working as a vice-rector of the Novosibirsk State University. In 1988–1990 had been heading a project
in the International Laboratory of Artificial Intelligence in Bratislava (Slovakia). Scientific interests: pattern recognition
and prediction. Author of 219 publications, including 13 monographs.
Vladimir Vladimirovich Dyubanov. Born 1981. Graduated from the Krasnoyarsk State University in 2002. Currently is a postgraduate at the Novosibirsk State
University. Scientific interests: data mining and pattern recognition and prognosis. Author of eight papers.
Ol’ga Andreevna Kutnenko. Born 1958. Graduated from the Novosibirsk State University in 1980. Received candidate’s degree in 2000. Scientific interests:
data analysis, determination of empirical principles, pattern recognition. Author of 13 papers.
Irina Artemovna Borisova. Born 1978. Graduated from the Novosibirsk State University in 2002. Currently is a chief programmer at the Institute of
Mathematics, Siberian Division, Russian Academy of Sciences. Scientific interests: pattern recognition. Author of nine papers. 相似文献
3.
M. A. Anan’in N. Yu. Il’yasova A. V. Kupriyanov 《Pattern Recognition and Image Analysis》2007,17(4):523-526
The problem of determining directions of blood vessels in the optic disk is considered. The proposed method for estimating
the vessel directions is based on analyzing local minima of gray-scale profile of the eye-ground image. Results of tests on
real images are presented.
Mikhail Anan’in. Born 1984. Graduated from the Samara State Aerospace University in 2007 and is currently a post-graduate student at the same
university. From 2006 to present is a junior researcher at the Image Processing Systems Institute, Russian Academy of Sciences.
Scientific interests: image processing, image reconstruction, pattern recognition, wavelet analysis, and differential geometry.
Authored more than ten papers.
Nataliya Il’yasova. Born 1966. Graduated from the Samara State Aerospace University in 1991, where in 1997 she received candidate’s degree (Eng.).
Currently a senior s researcher at the Image Processing Systems Institute, Russian Academy of Sciences and a senior lecturer
at Samara State Aerospace University. Scientific interests: digital image processing and recognition, pattern recognition,
information systems in biomedical applications, computer-aided systems for monitoring eye fundus microvascular morphology,
and analysis of cardiac coronary vessels. Author of more than 60 papers in the field of image processing and pattern recognition.
Aleksandr Kupriyanov. Born 1978. Graduated from the Samara State Aerospace University in 1991 and in 1997 received candidate’s degree (Eng.) from
the same university. Currently has a position of researcher at the Image Processing Systems Institute, Russian Academy of
Sciences. Scientific interests: digital image processing and recognition, pattern recognition, information systems in biomedical
applications, computer-aided systems for monitoring eye fundus microvascular morphology, analysis of cardiac coronary vessels,
evaluation of diagnostic features, and retinal image analysis. Author of more than 30 papers in the field of image processing
and pattern recognition. 相似文献
4.
M. V. Gashnikov N. I. Glumov E. V. Myasnikov V. V. Sergeev A. V. Chernov M. A. Chicheva 《Pattern Recognition and Image Analysis》2007,17(2):279-283
We consider the purpose, functionality, configuration, and structure of a software environment designed for simulation and
investigation of methods, algorithms, and information technology for digital images analysis and processing.
Mikhail V. Gashnikov. Born 1975. Graduated from the Samara State Airspace University (SSAU) in 1998. Received candidate’s degree in Technology
in 2004. He is now an assistant professor at the chair of earth information of the SSAU. Scientific interests: image processing,
compression, statistical coding. Author of more than 30 publications, including 12 papers and one monograph (in coauthorship).
Member of the Russian Association for Pattern Recognition and Image Analysis.
Evgenii V. Myasnikov. Born 1981. Graduated from the Samara State Airspace University in 2004. He is now a post-graduate student at the Chair of
Earth Information of the Samara State Airspace University. Scientific interests: development of software systems, image processing,
image retrieval in databases. Author of 6 publications, including one paper. Member of the Russian Association for Pattern
Recognition and Image Analysis.
Andrei V. Chernov. Born 1975. Graduated from the Samara State Airspace University (SSAU) in 1998. Received candidate’s degree in Technology
in 2004. He is now an assistant professor at the Chair of Earth Information of the SSAU and a research fellow at the Institute
of Image Processing Systems, Russian Academy of Sciences. Scientific interests: image processing, pattern recognition, geoinformation
systems. Author of more than 50 publications, including 11 papers and one monograph (in coauthorship). Member of the Russian
Association for Pattern Recognition and Image Analysis.
Nikolai I. Glumov. Born 1962. Graduated from the Kuibyshev Airspace Institute (at present, the Samara State Airspace University) in 1985. Received
candidate’s degree in Technology in 1994. He is now a senior researcher at the Institute of Image Processing Systems, Russian
Academy of Sciences. Scientific interests: image processing and pattern recognition, compression of images, simulation of
systems of digital image formation. Author of more than 50 publications, including 21 papers and one monographs (in coauthorsip).
Member of the Russian Association for Pattern Recognition and Image Analysis.
Vladislav V. Sergeev. Born 1951. Graduated from the Kuibyshev Airspace Institute (at present, the Samara State Airspace University) in 1974. Received
doctoral degree in Technology in 1993. Head of the Laboratory of Mathematical Methods for Image Processing at the Institute
of Image Processing Systems, Russian Academy of Sciences. Scientific interests: digital signal processing, image analysis,
pattern recognition, earth information. Author of more than 150 publications, including approximately 40 papers and two monographs
(in coauthorship). President of the Povolzh’e Branch of the Russian Association for Pattern Recognition and Image Analysis.
Corresponding member of the Russian Ecological Academy and of the Russian Academy of Engineering Sciences. Member of the International
Society for Optical Engineering. A laureate of the Samara Provincial Government prize in science and engineering.
Marina A. Chicheva. Born 1964. Graduated from the Kuibyshev Airspace Institute (at present, the Samara State Airspace University) in 1987. Received
candidate’s degree in Technology in 1998. She is now a senior researcher at the Institute of Image Processing Systems, Russian
Academy of Sciences. Scientific interests: image recognition, compression, fast algorithms for discrete transformations. Author
of more than 40 publications, including 15 papers and one monograph (in coauthorship). Member of the Russian Association for
Pattern Recognition and Image Analysis. 相似文献
5.
S. Yu. Miroshnichenko V. N. Mishustin T. A. Shirabakina 《Pattern Recognition and Image Analysis》2007,17(2):306-312
We consider the structure of a binocular optical electronic diagnostic complex, distinguish the main stages of image preprocessing
and analysis of investigated objects, and describe how the complex may be used for diagnostics of deep venous thrombosis of
lower extremities.
Miroshnichenko Sergey Yur’evich. Born 1983. 5th-year student at the Kursk State Technical University. Scientific interests: systems of technical vision, images
pre-processing and pattern recognition.
Mishustin Vladimir Nikolaevich. Born 1964. Graduated from the Kursk State Medical University in 1989. Received his candidate’a degree in 1994. Author of
30 scientific publications including 26 papers and 4 publications in proceedings of conferences. Has 3 patents of the Russian
Federation. Awarded medals of the Russian Academy of Science and the Ministry of Education. Scientific interests: diagnostics
and prognosis of thromboembolic coplications of patients with injuries.
Shirabakina Tamara Alexandrovna Born 1955. Graduated from the Tomsk Polytechnical Institute in 1978. Received her candidate’s degree in 1983. Author of 7
books and courses, 75 scientific publications. Scientific interests: machine vision, image analysis and robotics. 相似文献
6.
E. V. Djukova A. S. Inyakin N. V. Peskov A. A. Sakharov 《Pattern Recognition and Image Analysis》2006,16(4):695-699
Problems of increasing the efficiency of combinatorial logical data analysis in recognition problems are examined. A technique
for correct conversion of initial information for reduction of its dimensionality is proposed. Results of testing this technique
for problems of real medical prognoses are given.
Djukova Elena V. Born 1945. Graduated from Moscow State University in 1967. Candidate’s degree in Physics and Mathematics in 1979. Doctoral
degree in Physics and Mathematics in 1997. Dorodnicyn Computing Center, Russian Academy of Sciences, leading researcher. Moscow
State University, lecturer. Moscow Pedagogical University, lecturer. Scientific interests: discrete mathematics and mathematical
method of pattern recognition. Author of 70 papers.
Peskov Nikolai V. Born 1978. Graduated from Moscow State University in 2000. Candidate’s degree in 2004. Dorodnicyn Computing Center, Russian
Academy of Sciences, junior researcher. Scientific interests: discrete mathematics and mathematical methods of pattern recognition.
Author of ten papers.
Inyakin Andrey S. Born 1978. Graduated from Moscow State University in 2000. Dorodnicyn Computing Center, Russian Academy of Sciences, junior
researcher. Scientific interests: discrete mathematics and mathematical methods of pattern recognition. Author of ten papers.
Sakharov Aleksei A. Born 1980. Graduated from Moscow State University in 2003. Moscow Pedagogical University, graduate student. Scientific interests:
discrete mathematics and mathematical method of pattern recognition. Author of three papers. 相似文献
7.
D. I. Mednikov A. Milovidov S. Yu. Sergunin M. I. Kumskov 《Pattern Recognition and Image Analysis》2009,19(1):129-136
A two-phase method for the pattern-driven recognition of objects in images is presented, implemented, and tested numerically.
The method is based on the use of an active sensor. Possibilities for development are envisaged. This approach was shown to
have advantages in solving the object-background separation problem and a high recognition rate was achieved with slow learning.
Dmitrii I. Mednikov. Born in 1987. Fifth-year student at the Faculty of Mathematics and Mechanics of Moscow State University. Scientific interests
include image recognition and image processing. Author of one paper.
Alexei Milovidov. Born in 1986. Graduated from the Faculty of Mathematics and Mechanics of Moscow State University in 2008. Scientific interests
include image recognition. Author of 3 papers.
Semen Yu. Sergunin. Born in 1980. Graduated from the Faculty of Mathematics and Mechanics of Moscow State University in 2002. Postgraduate student
at the same faculty. Scientific interests include image recognition. Author of five papers.
Mikhail I. Kumskov. Born in 1956. Graduated from the Faculty of Computational Mathematics and Cybernetics of Moscow State University in 1978.
Received his candidate’s degree in Physics and Mathematics in 1981 and doctoral degree in 1997. Professor at the Department
of Computational Mathematics of the Faculty of Mathematics and Mechanics of Moscow State University. Scientific interests
include the prediction of properties of chemical compounds, optimization of structural objects representation for classification
problems, and image processing. Author of more than 50 papers. 相似文献
8.
V. V. Geppener A. B. Tristanov P. P. Firstov O. P. Rulenko 《Pattern Recognition and Image Analysis》2007,17(4):599-607
In the paper, an attempt is made to develop an approach to analysis of seismic signals with the use of Data Mining techniques.
A system for registering of signals of seismic noise is described. Algorithms for signal segmentation are proposed.
Geppener Vladimir Vladimirovich. Born 1940. Graduated from the Leningrad Electrotechnical Institute in 1964. Received candidate’s degree (in Engineering)
in 1969 and Doctoral degree (in Engineering) in 2000. Professor at the Chair of Mathematical Software and Computer Applications
of the St. Petersburg Electrotechnical University. Scientific interests: systems of signal processing, methods of artificial
intelligence, and pattern recognition theory. Author and coauthor of more than 150 scientific publications. Member of the
Russian Association for Pattern Recognition and Image Analysis.
Tristanov Aleksandr Borisovich. Born 1981. Graduated with honors from the Kamchatka State Technical University in 2003. Post-graduate student at the Kamchatka
State Pedagogical University. Works as an Assistant Professor at the Kamchatka State Pedagogical University. Scientific interests:
systems of digital signal processing, methods of artificial intelligence, and frequency-time analysis of signals. Author of
10 scientific publications.
Firstov Pavel Pavlovich. Born 1941. Graduated with honors from Polzunov Altai State Polytechnical Institute in 1963. Candidate of Sciences in Physics
and Mathematics. Since 1965 works at the Institute of Volcanology and Seismology of the Far East Division of the Russian Academy
of Sciences; Head of a laboratory. Scientific interest: volcanic acoustics, nature of earthquake predecessors. Author and
coauthor of more than 100 papers and one monograph.
Rulenko Oleg Petrovich. Born 1946. Graduated with honors from the Department of Physics and Mathematics of the Kamchatka State Pedagogical Institute
in 1968. Received candidate’s degree (in Physics and Mathematics) in 1994. Senior Researcher at the Institute of Volcanology
and Seismology of the Far East Division of the Russian Academy of Sciences. Scientific interests: atmospheric electricity,
interaction of lithosphere and atmosphere, physics of earthquake predecessors. Author of 29 scientific publications. 相似文献
9.
A. G. Tashlinskii G. V. Dikarina G. L. Minkina A. N. Repin 《Pattern Recognition and Image Analysis》2008,18(4):706-711
In the pseudogradient estimation of image parameters, the convergence of the estimates and the computational costs depend
on the size of a local sample of image counts used to determine the pseudogradient of the objective function. An approach
to pseudogradient optimization via choosing a plan of counts in the local sample is proposed.
Aleksandr Grigor’evich Tashlinskii. Born 1954. Graduated from Ul’yanovsk State Technical University in 1977. Received doctoral degree in 2000. Professor of the
Department of CAD Systems at Ulyanovsk State Technical University. Research interests: statistical image processing, in particular,
the estimation of spatiotemporal deformations in dynamic image sequences. Author of about 250 publications, including 80 papers
and 2 monographs covering the parameter estimation of spatial deformations in image sequences. Full member of the International
Academy of Authors of Scientific Discoveries and Inventions and the Russian Academy of Natural Sciences. Awarded medals from
these academies.
Galina Leonidovna Minkina. Born 1983. Graduated from Ul’yanovsk State Technical University in 2005. Graduate student of this university. Research interests:
optimization of parameters of algorithms for estimating geometrical interframe image deformations. Author of 25 publications.
Galina Vladimirovna Dikarina. Born 1983. Graduated from Ul’yanovsk State Technical University in 2005. Graduate student of this university. Research interests:
adaptive estimation of quantile random fields. Author of eight publications.
Aleksandr Nikolaevich Repin. Born 1985. Graduated from Ul’yanovsk State Technical University in 2007. Graduate student of this university. Research interests:
minimization of computational costs in the estimation of geometrical interframe image deformations and the prediction of cellular
coverage. Author of four publications. 相似文献
10.
A fast method for computing Hu’s image moment invariants is described. The invariants are found by approximation using generalized
moments computed in a sliding window by a parallel recursive algorithm. The proposed method is shown to be computationally
more efficient than direct computation.
Vladislav V. Sergeev. Born 1951. Graduated from the Kuibyshev Aviation Institute (now, the Samara State Aerospace University) in 1974. Received
doctoral degree (Dr. Sc. (Eng.)) in 1993. Head of Laboratory of Mathematical Methods of Image Processing, Image Processing
Systems Institute, Russian Academy of Sciences. Scientific interests: digital signal processing, image analysis, pattern recognition,
and geoinformatics. Author of more than 150 publications, including about 40 papers in journals, and a co-author of 2 monographs.
Chair of the Volga-region Branch of the Russian Federation Association for Pattern Recognition and Image Analysis. Corresponding
Member of the Russian Ecological Academy and the Russian Academy of Engineering, member of SPIE (The International Society
for Optical Engineering), a winner of the Samara District Award for Science and Engineering.
Ol’ga A. Titova. Born 1980. Graduated from the Samara State Aerospace University (SSAU) in 2002. Currently post-graduate student at the Chair
of Geoinformatics, SSAU. Scientific interests: image analysis, pattern recognition, fast algorithms of digital image processing,
and geoinformatics. Author of nine publications including three papers in journals. Member of the Russian Federation Association
for Pattern Recognition and Image Analysis. 相似文献
11.
In the paper, we consider some refined methods for fingerprint recognition taking into account a distorting factor, namely,
elastic deformations arising when a finger contacts with the scanner surface. We show that the consideration of elastic deformations
significantly improves the quality of fingerprint recognition.
Ushmaev Oleg Stanislavovich. Born 1981. Graduated from the Faculty of Mechanics and Mathematics of Lomonosov Moscow State University in 2002. Received
candidate’s degree in 2004. Scientific interests: image processing, pattern recognition, biometrics. Author of 14 publications.
Novikov Sergei Olegovich, Senior Researcher at the Institute of Information Problems RAS. Born in 1963. Graduated from the Moscow Institute of Physics
and Technology in 1986. In 1990 finished the postgraduate study at the Institute of Information Problems, Russian Academy
of Sciences. Candidate of Technical Sciences. Scientific interests: pattern recognition, image processing, mathematical modeling
in biology. Author of two patents and more than 20 publications. Member of the International Scientific Societies SPI, IEEE
Computer Society, IAPR. 相似文献
12.
In this paper, a segmentation method for grayscale images in the framework of the approach based on region merging is proposed.
The initial segmentation is obtained by finding edges in the image and its splitting into regions of a given shape. The adopted
segmentation criterion is formulated in terms of the least squares fit to the image intensity function and this can be accomplished
by finding an optimal partition with respect to the introduced information measure.
Andrey Georgievich Bronevich. Born 1966. Graduated from the Taganrog State University of Radio Engineering in 1988. Received candidate’s degree in 1994
and doctoral degree in 2004. Professor at the Taganrog State University of Radio Engineering. Scientific interests: number
theory, mathematical statistics, possibility theory, theory of nonadditive measures, classification models, and pattern recognition.
Author of more than 50 papers. Member of the Russian Association for Artificial Intelligence.
Oleg Sergeevich Semeriy. Born 1978. Graduated from the Taganrog State University of Radio Engineering in 2001. Received candidate’s degree in 2004.
Scientific interests: computer vision, computer graphics, control theory, and robotics. Author of more than 30 papers. 相似文献
13.
An object-oriented approach to unsupervised vectorization of rectangular objects in topographic maps based on their recognition
by geometric features is presented. An implementation of this approach led to a two- to threefold reduction in labor needed
to develop vector models of buildings and industrial installations from their maps.
Andrei V. Chernov. Born 1975. Graduated from the Samara State Aerospace University (SSAU) in 1998. In 2004 defended a Candidate dissertation
(Eng.). Currently a senior lecturer at the Chair of Geoinformation Systems, SSAU.Scientific interests: geographical information
systems, processing of remote sensing data, and pattern recognition. Author of more than 50 publications, including 24 papers
in scientific journals, and a co-author of a monograph. Member of the Russian Federation Association of Pattern Recognition
and Image Analysis.
Nikolai V. Chupshev. Born 1986. Graduated from the Samara State Aerospace University (SSAU) in 2008. Scientific interests: image analysis, geographical
information systems, and pattern recognition. Author of three publications including one journal paper. 相似文献
14.
An adaptive algorithm for automatic segmentation of objects in cytological images is described. The algorithm is based on
the well-known seeded region growing method (SGR), is robust to noise, and can handle low contrast images. The algorithm allows
for automatic adjustment of its parameter values and initialization of cluster growth.
Oleg L. Konevsky. Born 1973. Received master’s degree in engineering from Novgorod State University in 1995 and candidate’s degree (Eng.)
from St. Petersburg State Technical University in 1998. Since 2000, an associate professor at the Information Technologies
and Systems Department, Novgorod State University. Scientific interests: image segmentation, mathematical morphology, and
neural networks. Author of nearly 30 papers in the field of pattern recognition and image analysis. Member of IEEE, IEEE Computer
Society, and IEEE Signal Processing Society.
Yurii V. Stepanets. Born 1980. Received master’s degree in engineering from Novgorod State University in 2002. Currently, post-graduate student
at the same university. Scientific interests: image segmentation, artificial intelligence, and neural networks. Author of
ten papers in the field of pattern recognition and image analysis. 相似文献
15.
A method to obtain a code representation of handwritten signatures is described and an algorithm for signature verification
based on such representations is proposed. Results of tests to determine efficient methods of image compression for the purpose
of signature verification are presented.
Konstantin Alekseev. Born 1979. Received Master’s degree in engineering and technology (Radioengineering) in 2002. Currently post-graduate student
at St. Petersburg State Electrotechnical University “LETI”, chair of television and video. Scientific interests: digital image
processing and pattern recognition. Author of three papers.
Svetlana Egorova. Born 1931. Graduated from St. Petersburg State Electrotechnical University “LETI” in 1955, received Candidates degree (Eng.)
in 1965; since 1968 a senior lecturer at the chair of television and video, St. Petersburg State Electrotechnical University
“LETI”. Scientific interests: optical and digital image processing and compression methods in signal processing. Author of
141 papers. 相似文献
16.
A general approach to the problem of analysis of images which are piecewise-constant with respect to some feature is described.
Algorithms for solving this problem are presented. The algorithm proposed is illustrated by the following examples: the problem
of noise suppression on images with piecewise-polynomial brightness; the problem of localization of an unknown object in an
image with a given background image, which may be obtained under different lighting conditions; and the problem of random
field segmentation. The results obtained by these algorithms on real images are not worse than those obtained by existing
algorithms.
Igor I. Falomkin. Born 1979. Graduated from the Faculty of Physics, Moscow State University in 2001. Scientific interests: image analysis and
recognition, analysis and interpretation of experimental data.
Yurii P. Pyt’ev. Graduated from the Faculty of Physics, Moscow State University. Professor, Head of the Department of Computer Methods in
Physics, Faculty of Physics, Moscow State University. Scientific interests: mathematical methods of data analysis and interpretation,
mathematical modeling of measuring-computing systems of superhigh resolution, and fuzzy and uncertain fuzzy mathematics. Author
of more than 300 publications on mathematics, mathematical physics, and information science, including several monographs. 相似文献
17.
S. A. Burikov T. A. Dolenko V. V. Fadeev A. V. Sugonyaev 《Pattern Recognition and Image Analysis》2007,17(4):554-559
The characteristic features of the valence Raman band of water in the solutions of electrolytes are revealed. These features
allow the noncontact recognition of the type of salt and the determination of its concentration in aqueous solutions using
artificial neural networks.
Viktor V. Fadeev. Born 1935. Graduated from the Physics Faculty of Moscow State University in 1959. Received candidate’s degree in 1967 and
doctoral degree in 1983. Professor of the Physics Faculty, Moscow State University. Scientific interests: optics, laser physics,
spectroscopy, and inverse problems. Author of more than 300 papers and a discovery diploma. Laureate of the USSR State Prize
(1983).
Tat’yana A. Dolenko. Born 1961. Graduated from the Physics Faculty of Moscow State University in 1983. Received candidate’s degree in 1987. Senior
Researcher of the Physics Faculty, Moscow State University. Scientific interests: laser spectroscopy, Raman spectroscopy of
aqueous media, inverse problems, and artificial neural networks. Author of 57 papers and an invention certificate. Laureate
of the Lenin Komsomol Prize (1985).
Sergei A. Burikov. Born 1978. Graduated from the Physics Faculty of Moscow State University in 2002. Junior Researcher of the Physics Faculty,
Moscow State University. Scientific interests: optics, Raman spectroscopy of aqueous media, inverse problems, and artificial
neural networks. Author of 14 papers.
Aleksandr V. Sugonyaev. Born 1982. Graduated from the Physics Faculty of Moscow State University in 2005. Scientific interests: Raman spectroscopy
of aqueous media, inverse problems, and artificial neural networks. Author of 5 papers. 相似文献
18.
Methods and algorithms for digital image processing that increase the probability of correct recognition of alphanumeric data
are considered. The computational costs of the control block of an autonomous image recognition system based on TMS320C5416
signal processor are analyzed.
Natalia S. Novozhilova. Born 1955. Graduated from Moscow Institute of Electronic Engineering in 1978. Received her candidate’s degree (Mathematics
and Physics) in 1984. At present, she is a senior researcher at Lukin Scientific Research Institute of Physical Problems.
Scientific interests: pattern recognition and mathematical methods for processing the results of a physical experiment. Author
of 22 publications.
Aleksandr G. Safonov. Born 1952. Graduated from Moscow Power Engineering Institute in 1975. Received his candidate’s degree (Technical Sciences)
in 1982. At present, he is a head of department at Lukin Scientific Research Institute of Physical Problems. Scientific interests:
automated data processing complexes, pattern recognition, and microelectronics. Author of more than 50 publications. 相似文献
19.
V. V. Sergeev V. N. Kopenkov A. V. Chernov 《Pattern Recognition and Image Analysis》2007,17(2):217-221
Application of nonlinear methods of multivariate regression approximation (neural networks, functions linear in fitting parameters,
and hierarchical approximation) is considered to problems of image filtering based on a priori information in the form of
matched pairs of images (“ideal” and “degraded”). The methods are compared with regard to their efficiency.
Vasilii N. Kopenkov. Born 1978. Graduated from the Samara State Aerospace University (SSAU) in 2001. Assistant Professor at the Chair of Geoinformatics,
SSAU, and a Junior Researcher at the Institute of Image Processing Systems, Russian Academy of Sciences. Scientific interests:
image processing and pattern recognition. Author of four papers. Member of the Russian Federation Association for Pattern
Recognition and Image Analysis.
Andrei V. Chernov. Born 1975. Graduated from the Samara State Aerospace University (SSAU) in 1998. Received candidate’s degree (Cand. Sc. (Eng.))
in 2004. Assistant Professor at the Chair of Geoinformatics, SSAU, and a Researcher at the Institute of Image Processing Systems,
Russian Academy of Sciences. Scientific interests: image processing, pattern recognition, and geoinformation systems. Author
of more than 50 publications, including 11 papers in journals, and a co-author of a monograph. Member of the Russian Federation
Association for Pattern Recognition and Image Analysis.
Vladislav V. Sergeev. Born 1951. Graduated from the Kuibyshev Aviation Institute (now, the Samara State Aerospace University). Received doctoral
degree (Dr. Sc. (Eng.)) in 1993. Head of Laboratory of Mathematical Methods of Image Processing, Institute of Image Processing
Systems, Russian Academy of Sciences. Scientific interests: digital signal processing, image analysis, pattern recognition,
and geoinformatics. Author of more than 150 publications, including about 40 papers in journals, and a co-author of 2 monographs.
Chair of the Volga-region Branch of the Russian Federation Association for Pattern Recognition and Image Analysis. Corresponding
Member of the Russian Ecological Academy and the Russian Academy of Engineering, member of SPIE (The International Society
for Optical Engineering), a winner of the Samara District Award for Science and Engineering. 相似文献
20.
A. Yu. Bavrina M. V. Gashnikov N. I. Glumov 《Pattern Recognition and Image Analysis》2008,18(4):598-601
The efficiency of hierarchical and wavelet image compression methods is analyzed and compared. More specifically, hierarchical
grid interpolation (HGI) is compared with JPEG-2000. The characteristics of both methods are analyzed, and recommendations
are given concerning their use in various image-processing applications.
Alina Yur’evna Bavrina. Born 1980. Graduated from the Samara State Aerospace University in 2003. Received her candidate’s degree in technical sciences
in 2006. Junior researcher at the Image Processing Systems Institute of the Russian Academy of Sciences. Research interests:
image processing, image compression, and geoinformation technology. Author of more than 20 publications, including 6 papers.
Member of the Russian Association for Pattern Recognition and Image Analysis.
Mikhail Valer’evich Gashnikov. Born 1975. Graduated from the Samara State Aerospace University (SSAU) in 1998. Received his candidate’s degree in technical
sciences in 2002. Associate professor at the SSAU Department of Geoinformatics. Research interests: image processing, compression,
and statistical coding. Author of more than 50 publications, including 21 papers and 1 monograph (coauthored). Member of the
Russian Association for Pattern Recognition and Image Analysis.
Nikolai Ivanovich Glumov. Born 1962. Graduated from the Kuibyshev Aviation Institute (now the Samara State Aerospace University) in 1985. Received
candidate’s degree in technical sciences in 1994. Senior researcher at the Image Processing Systems Institute of the Russian
Academy of Sciences. Research interests: image processing, pattern recognition, image compression, and simulation of digital
image formation systems. Author of more than 90 publications, including more than 30 papers and 1 monograph (coauthored).
Member of the Russian Association for Pattern Recognition and Image Analysis. 相似文献