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1.
M. V. Gashnikov A. V. Chernov N. V. Chupshev 《Pattern Recognition and Image Analysis》2009,19(1):106-108
An algorithm for the image normalization of moving objects during the sequential registration of color RGB channels has been
developed. This algorithm allows many-colored moving objects to be joined and their characteristics to be calculated; it is
based on the use of intercommunication between the coordinates, sizes, and orientations of many-colored copies of objects.
Mikhail Valer’evich Gashnikov. Born in 1975. Graduated from Samara State Aerospace University (SGAU) in 1998. Received Candidate’s degree in 2002 in technical
sciences. Associate Professor at the Department of Geoinformatics, Samara State Aerospace University. Scientific interests
include image processing, compression of images, and statistical coding. He is the author of 50 scientific publications, including
21 articles and one monograph (as a coauthor). Member of the Russian Association for Pattern Recognition and Image Analysis.
Andrei Vladimirovich Chernov. Born in 1975. Graduated from Samara State Aerospace University (SGAU) in 1998. Received Candidate’s degree in 2004 in technical
sciences. Associate Professor at the Department of Geoinformatics, Samara State Aerospace University. Scientific interests
include the processing of remote sensing data and image recognition. He is the author of more than 50 scientific publications,
including 24 articles and one monograph (as a coauthor). Member of the Russian Association for Pattern Recognition and Image
Analysis.
Nikolai Viktorovich Chupshev. Born in 1986. Graduated from Samara State Aerospace University (SGAU) in 2008. Scientific interests include image processing
and recognition and geoinformatic systems. Has three publications, including one article. 相似文献
2.
Technology for the quick viewing of georeferenced images has been developed. Principles of the organization and structure
of hierarchical HGI format, which is intended to store compressed images with controlled maximal error, are presented. Additionally,
a basic method of HGI format compression is described. The advantages of using the HGI format for covering a territory with
orthoimages are described.
Mikhail Valer’evich Gashnikov. Born in 1975. Graduated from Samara State Aerospace University (SGAU) in 1998. Received Candidate’s degree in 2002 in technical
sciences. Associate Professor at the Department of Geoinformatics, Samara State Aerospace University. Scientific interests
include image processing, compression of images, and statistical coding. He is the author of 50 scientific publications, including
21 articles and one monograph (as a coauthor). He is a member of the Russian Association for Pattern Recognition and Image
Analysis.
Nikolai Ivanovich Glumov. Born in 1962. Graduated from Kuibyshev State Aeronautical Institute (currently Samara State Aerospace University) in 1985.
Received his Candidate’s degree in 1994 in technical sciences and currently works as a Senior Research Associate at the Image
Processing Systems Institute of the Russian Academy of Science. Scientific interests include processing remote sensing data
and image recognition, image compression, the formation of modeling systems of digital images. He is the author of more than
90 scientific publications, including 30 articles and one monograph (as a coauthor). He is a member of the Russian Association
for Pattern Recognition and Image Analysis.
Andrei Vladimirovich Chernov. Born in 1975. Graduated from Samara State Aerospace University in 1998. Received Candidate’s degree in 2004 in technical
sciences and currently works as an Associate Professor at the Department of Geoinformatics, Samara State Aerospace University.
Scientific interests include processing remote sensing data and image recognition. He is the author of more then 50 scientific
publications, including 24 articles and one monograph (as a co-author). He is a member of the Russian Association for Pattern
Recognition and Image Analysis. 相似文献
3.
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
4.
N. I. Glumov E. V. Myasnikov V. N. Kopenkov M. A. Chicheva 《Pattern Recognition and Image Analysis》2009,19(1):7-13
The problem of searching for and recognizing fragments of images that correspond to one of a wide variety of template is considered.
The method of the fast correlation of a wide selection of trinary template, which successfully resolves this problem, is suggested.
The use of this method in two problems of image analysis is shown, namely, the search for position of eyes in documental photographs
of faces and the recognition of computer-readable lines in scanned images of documents.
Nikolai Ivanovich Glumov. Born in 1962. In 1985, he graduated the Kuibyshev Aviation Institute (now, the Samara State Aerospace University). In 1994,
he defended the Candidate of Science (Engineering) Dissertation. Currently, he is working as the Senior Researcher at the
Image Processing Systems Institute, Russian Academy of Sciences. His circle of scientific interests involves the image processing
and pattern recognition, image compression, and simulation of the systems of formation of digital images. Glumov has more
than 90 publications involving more than 30 articles and one monograph (in partnership). He is a member of the Russian Association
of Pattern Recognition and Image Processing.
Evgenii Valer’evich Myasnikov. Born in 1981. In 2004, he graduated the Samara State Aerospace University and entered the Post-Graduate Education of SGAU.
In 2007, Myasnikov defended the Candidate of Science (Engineering) Dissertation. Currently, is working as the Probationer
Researcher at the Image Processing Systems Institute, Russian Academy of Sciences and simultaneously as the Assistant of the
Department of Geoinformatics at SCAU. The circle of scientific interests involves the creation of software complexes, image
processing and pattern recognition, and search for images in databases. Myasnikov has 23 publications, including six articles.
He is the member of the Russian Association of Pattern Recognition and Image Processing.
Vasilii Nikolaevich Kopenkov. Born in 1978. In 2001, he graduated the Samara State Aerospace University (SGAU). Currently, he is working as the assistant
of the Department of Geoinformatics at the SGAU and Junior Researcher at the Image Processing Systems Institute, Russian Academy
of Sciences. The circle of scientific interests involves the processing of images of the distanced probing of the Earth, pattern
recognition, and geoinformatic systems. Kopenkov has 17 publications, including seven articles. He is the member of the Russian
Association of Pattern Recognition and Image Processing.
Marina Aleksandrovna Chicheva. Born in 1964. In 1987, she graduated the Kuibyshev Aviation Institute (now, the Samara State Aerospace University). In 1998,
she defended the Candidate of Science (Engineering) Dissertation. She currently works as the Senior Researcher at the Image
Processing Systems Institute, Russian Academy of Sciences. Her scientific interests include image processing and compression,
rapid algorithms of discrete transformations, and pattern recognition. Chicheva has more than 18 articles, including one monograph
(in partnership). She is the member of the Russian Association of Pattern Recognition and Image Processing. 相似文献
5.
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
6.
The convolution is calculated in the case when the finite impulse response can (FIR) be representable as a spline. This approach
is a practical illustration of the method proposed in [4, 5] for constricting an efficient convolution algorithm. A brief
theoretical justification of the approach is given. An efficient convolution algorithm for a Gaussian FIR is constructed as
an example and is compared with other convolution algorithms.
Vladislav Valer’evich Myasnikov. Born 1971. Graduated from the Samara State Aerospace University (SSAU) in 1994. Began his graduate study at SSAU in 1995
and received candidate’s degree in technical sciences in 1998. Senior researcher at the Image Processing Systems Institute
of the Russian Academy of Sciences and associate professor at the SSAU Department of Geoinformatics. Research interests: digital
signal and image processing, geoinformatics, neural networks, and pattern recognition. Author of more than 60 publications,
including 24 papers and 1 monograph (coauthored). Member of the Russian Association for Pattern Recognition and Image Analysis.
Ol’ga Aleksandrovna Titova. Born 1980. Graduated with honors from the Samara State Aerospace University in 2003. Graduate student at SSAU from 2003 to
2006. Assistant professor at the SSAU Department of Geoinformatics. Research interests: digital processing of signals and
images, including remote sensing data; geoinformation systems; and pattern recognition. Author of 19 publications, including
4 papers. Member of the Russian Association for Pattern Recognition and Image Analysis. 相似文献
7.
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
8.
A reduction operation and the design of a reduced wise algorithm over a set of known algorithms of unvarying complexity are
addressed. A direct convolution algorithm and the best-known algorithms based on fast discrete orthogonal transforms (with
Cooley-Tukey and Good-Thomas decompositions and the Rader algorithm for short lengths) are used as a support set of known
algorithms. It is shown that their combined use in the reduced wise algorithm decreases the computational complexity of the
resulting convolution algorithm as compared to that of the algorithms in the support set.
Alina Yur’evna Bavrina. Born 1980. Graduated from the Samara State Aerospace University in 2003. Received 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.
Vladislav Valer’evich Myasnikov. Born 1971. Graduated from the Samara State Aerospace University (SSAU) in 1994. Started his graduate study at SSAU in 1995
and received candidate’s degree in technical sciences in 1998. Senior researcher at the Image Processing Systems Institute
of the Russian Academy of Sciences and associate professor at the SSAU Department of Geoinformatics. Research interests: digital
signal and image processing, geoinformatics, neural networks, and pattern recognition. Author of more than 60 publications,
including 24 papers and 1 monograph (coauthored). Member of the Russian Association for Pattern Recognition and Image Analysis. 相似文献
9.
M. V. Aliev A. M. Belov A. V. Ershov M. A. Chicheva 《Pattern Recognition and Image Analysis》2007,17(1):1-5
Methods for the parallel computation of a multidimensional hypercomplex discrete Fourier transform (HDFT) are considered.
The basic idea consists in the application of the properties of the hypercomplex algebra in which this transform is performed.
Additional possibilities for increasing the efficiency of the algorithm are provided by the natural parallelism of the multidimensional
Cooley-Tukey scheme.
Marat Vyacheslavovich Aliev. Born 1978. Graduated from the Adygeya State University in 2000. Received candidate’s degree in physics and mathematics in
2004. Presently he is a senior lecturer at the Department of Applied Mathematics and Information Technologies, Adygeya State
University. Scientific interests: image processing, fractals, fast algorithms of discrete transforms, and finite-dimensional
algebras. Author of 14 publications, including 7 papers. Member of the Russian Association of Pattern Recognition and Image
Analysis.
Aleksandr Mikhailovich Belov. Born 1980. Graduated from the Samara State Aerospace University in 2002. In the same year, he entered postgraduate courses
with the specialty 05.13.18: mathematical modeling, numerical methods, and program complexes. Presently he is a postgraduate
student at the Department of Geoinformatics, Samara State Aerospace University, and a trainee at the Laboratory of Mathematical
Methods of Image Processing, Image Processing Systems Institute, Russian Academy of Sciences. Scientific interests: discrete
orthogonal transforms, fast algorithms of discrete orthogonal transforms, and theory of canonical systems of calculus. Author
of 13 publications, including 5 papers. Member of the Russian Association of Pattern Recognition and Image Analysis.
Aleksei Vladimirovich Ershov. Born 1983. In 2000, he graduated from the Samara Lyceum of Economics and entered the Faculty of Mechanics and Mathematics,
Samara State University, to specialize in the field of Organization and Technology of Information Security. In 2001, he started
his training within an additional educational program and was qualified as a translator in the field of professional communication.
Presently he is a fifth-year student at Samara State University. The title of his diploma work is “Control of the Flows of
Confidential Information.” He is an active participant in the translation of the monograph Principia Mathematica, Cambridge University Press, 1927, by A. Whitehead and B. Russell. Author of four publications, including two papers.
Marina Aleksandrovna Chicheva. Born 1964. Graduated from the Kuibyshev Aviation Institute (now Samara State Aerospace University) in 1987. Received candidate’s
degree in Engineering in 1998. Presently she is a senior researcher at the Image Processing Systems Institute, Russian Academy
of Sciences. Scientific interests: image processing, compression, and fast algorithms of discrete transforms. Author of more
than 50 publications, including 18 papers and 1 monograph. Member of the Russian Association of Pattern Recognition and Image
Analysis. 相似文献
10.
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
11.
V. V. Myasnikov 《Pattern Recognition and Image Analysis》2007,17(3):421-427
A method for constructing an algorithm for recursive computation of the convolution of an image with a two-dimensional polynomial
FIR filter is proposed. It is important to note that the filter is not decomposed into separable functions. The algorithm
is compared to the known procedure based on such a decomposition, and its computational complexity is estimated via analytic
expressions.
Vladislav Valer’evich Myasnikov. Born 1971. Graduated from the Samara State Aerospace University (SSAU) in 1994. Received candidate’s degree (in Engineering)
in 1998. Senior Researcher at the Institute of Systems for Image Processing, the Russian Academy of Sciences, and Assoc. Prof.
at the Chair of Geoinformatics of the SSAU. Scientific interests: digital signal and image processing, geoinformatics, neuron
networks, pattern recognition. Author of about 60 publications, including 24 papers and one monograph (in coauthorship). Member
of the Russian Association for Pattern Recognition and Image Analysis. 相似文献
12.
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
13.
V. V. Myasnikov 《Pattern Recognition and Image Analysis》2008,18(4):671-674
An efficient algorithm for computing a linear convolution is constructed. It is proved that the construction can be represented
as three consecutive operations. The first involves the construction of a wise algorithm over the set of convolution algorithms.
The second is the construction of a reduced wise algorithm. The third is the construction of an induced algorithm chosen from
an extension of the set consisting of a single reduced wise algorithm. Theorems are formulated that give necessary and sufficient
conditions for the efficiency and strict efficiency of the algorithm constructed.
Vladislav Valer’evich Myasnikov. Born 1971. Graduated from the Samara State Aerospace University (SSAU) in 1994. Started his graduate study at SSAU in 1995
and received candidate’s degree in technical sciences in 1998. Senior researcher at the Image Processing Systems Institute
of the Russian Academy of Sciences and associate professor at the SSAU Department of Geoinformatics. Research interests: digital
signal and image processing, computer vision, pattern recognition, neural networks, and geoinformatics. Author of more than
60 publications, including 24 papers and 1 monograph (coauthored). Member of the Russian Association for Pattern Recognition
and Image Analysis. 相似文献
14.
Combined algorithms for the multidimensional hypercomplex discrete Fourier transform (HDFT) of a real signal with data representation
in the Hamilton-Eisenstein generalized codes are synthesized. The complexity of arithmetic operations in a commutative-associative
hypercomplex algebra and its representation in generalized codes are obtained. It is shown that there exist only two essentially
different commutative-associative hypercomplex algebras: the direct sums of real or complex algebras. The computational complexity
of the algorithm synthesized is estimated.
Marat Vyacheslavovich Aliev. Born 1978. Graduated from Adygeya State University in 2000. Received candidate’s degree in physics and mathematics in 2004.
Presently he is a senior lecturer at the Department of Applied Mathematics and Information Technologies, Adygeya State University.
Scientific interests: image processing, fractals, fast algorithms of discrete transforms, and finite-dimensional algebras.
Author of 14 publications, including 7 papers. Member of the Russian Association of Pattern Recognition and Image Analysis.
Marina Aleksandrovna Chicheva. Born 1964. Graduated from the Kuibyshev Aviation Institute (now Samara State Aerospace University) in 1987. Received candidate’s
degree in Engineering in 1998. Presently, she is a senior researcher at the Image Processing Systems Institute, Russian Academy
of Sciences. Scientific interests: image processing, compression, and fast algorithms of discrete transforms. Author of more
than 50 publications, including 18 papers and 1 monograph. Member of the Russian Association of Pattern Recognition and Image
Analysis. 相似文献
15.
A. M. Belov 《Pattern Recognition and Image Analysis》2008,18(4):602-605
Compression algorithms for digital images are described that are based on nonseparable two-dimensional wavelet transforms
on nonrectangular supports. The efficiencies of these algorithms are experimentally investigated and compared with those of
a compression algorithm based on a separable Haar wavelet basis.
Aleksandr Mikhailovich Belov. Born 1980. Graduated from the Samara State Aerospace University. Received candidate’s degree in physics and mathematics in
2007. Currently is a junior scientist at the Institute of Image Processing, Russian Academy of Sciences. Scientific interests:
discrete orthogonal transforms, fast algorithms for discrete orthogonal transforms, and the theory of canonical number systems.
Author of 20 publications, including 8 papers. Member of the Russian Pattern Recognition and Image Processing Association. 相似文献
16.
The paper considers an algorithm for estimating lineature of scanned digital images based on the calculation of series lengths
and local directional fields. The results of an experiment are given and the efficiency of the algorithm is investigated.
Vitalii Anatol’evich Mitekin. Born in 1983. Graduated from Samara State Aerospace University (SSAU) in 2006. At present, he is a post-graduate student
in the Department of Geoinformatics at SSAU. His scientific interests include image processing, stenography, and cryptography.
He is the author of three publications, including three articles.
Viktor Andreevich Fedoseev. Born in 1986. Defended a degree thesis at the Samara State Aerospace University in 2007. Continues teaching at the SSAU at
present, and also works as a technician at the Institute of Image Processing Systems at the Russian Academy of Sciences. His
scientific interests include computer graphics, image processing, stenography, and cryptography. He is the author of 11 publications,
including six articles. 相似文献
17.
N. I. Glumov A. V. Koryakin E. V. Myasnikov V. V. Sergeev A. P. Chikhonadskikh I. Yu. Terent’eva 《Pattern Recognition and Image Analysis》2009,19(1):43-47
In this article, the developed program and research system for recognizing individuals based on photos of faces on documents
is described. The requirements for the system made at the development stage are determined. The most important of these requirements
is the possibility of carrying out the investigations of various algorithms with the purpose of the comparing their efficiency,
determining their optimum parameters, and selecting the best system of signs. The composition and destination of the main
components of the program and research system for recognizing individuals are presented. The main feature of implementation
is the use of processing scenarios in the system performed by an interpreter and the presence of an expanded set of the elemental
processing functions. This solution results in the rapid development and variation of various algorithms of image processing,
formation of signs, and classification.
Evgenii Valer’evich Myasnikov. Born in 1981. In 2004, he graduated the Samara State Aerospace University (SGAU) and entered the Post-Graduate Education
of SGAU. In 2007, Myasnikov defended the Candidate of Science (Engineering) Dissertation. Currently, he works as the Probationer
Researcher at the Image Processing Systems Institute, Russian Academy of Sciences and simultaneously as the Assistant of the
Department of Geoinformatics at SCAU. The circle of scientific interests involves the creation of software complexes, image
processing, and pattern recognition, and search for images in databases. Myasnikov has 23 publications, including six articles.
He is the member of the Russian Association of Pattern Recognition and Image Processing.
Vladislav Viktorovich Sergeev. Born in 1951. In 1974, he graduated the Kuibyshev Aviation Institute (now, the Samara State Aerospace University). In 1994,
he defended his Doctor of Science (Engineering) dissertation. Currently, he works at the Chief of Laboratory of Mathematical
Methods of Image Processing at the Image Processing Systems Institute, Russian Academy of Sciences. The circle of scientific
interests involves the digital processing of signals, analysis of images, pattern recognition, and geoinformatics. Sergeev
has more than 200 publications, including about 40 articles and two monographs (in partnership). Sergeev is the Chairman of
the Povolzh’e Division of the Russian Association of Pattern Recognition and Image Analysis. He is the Corresponding Member
of the Russian Environmental Academy and Academy of the Engineering Sciences of the Russian Federation, the member of SPIE
(the International Society for Optical Engineering), and the Laureate of the Samara Regional Prize in the Field of Science
and Engineering.
Nikolai Ivanovich Glumov. Born in 1962. In 1985, he graduated the Kuibyshev Aviation Institute (now, the Samara State Aerospace University). In 1994,
he defended the Candidate of Science (Engineering) Dissertation. Currently, he is working as the Senior Researcher at the
Image Processing Institute, Russian Academy of Sciences. The circle of scientific interests involves the image processing
and pattern recognition, image compression, and simulation of the systems of formation of digital images. Glumov has more
than 90 publications, including more than 30 articles and one monograph (in partnership). He is the member of the Russian
Association of Pattern Recognition and Image Processing.
Aleksandr Pavlovich Chikhonadskikh. Born in 1959. In 1981, he graduated the Mozhaiskii Military Space Engineering Institute (now, the Mozhaiskii Military Space
Engineering Academy). In 1988, he defended the Candidate of Science (Engineering) Dissertation. Currently, he is working as
the Chief of the Second Research Department at the FGUP State Research Institute of Applied Problems. The circle of scientific
interests involves the creation of program-apparatus complexes, digital processing of signals, analysis of images, and pattern
recognition. Chikhonadskikh has more than 70 publications, including three articles and three monographs (two in partnership).
Aleksandr Viktorovich Koryakin. Born in 1959. In 1982, he graduated the Dnepropetrovsk State University. In 2002, he defended the Doctor of Science (Engineering)
Dissertation. Currently, he is working as the Senior Researcher at the FGUP State Research Institute of Applied Problems.
The circle of scientific interests involves the digital processing of signals, analysis of images, pattern recognition, and
creation of software-apparatus complexes. Koryakin has more than 100 publications, including three monographs.
Inga Yur’evna Terent’eva. Born in 1978. In 2000, she graduated the North-West Academy of State Service (St. Petersburg), and in 2004, she graduated
the Post-Graduate Education at the Institute of the Human Brain, Russian Academy of Sciences. In 2005, she defended the Candidate
of Science (Psychological) Dissertation. Currently, she is working as the Chief of Laboratory at the FGUP State Research Institute
of Applied Problems. The circle of scientific interests involves the analysis of biometric data, pattern recognition, and
neural networks. Terent’eva has 23 publications, including eight articles. 相似文献
18.
M. V. Gashnikov N. I. Glumov V. V. Sergeyev 《Pattern Recognition and Image Analysis》2007,17(1):79-81
A new method is proposed for stabilizing the rate of compressed data formation in the case of hierarchical image compression.
The method is based on using various values of the control parameter (maximum error) for various scale levels of image representation
and for error correction at the last level depending on the received compressed information content.
Gashnikov Mikhail Valer’evich (b. 1975) graduated from the Samara State Aerospace University (SSAU) in 1998. In 2004, he defended his Ph.D. thesis in engineering.
At present, Gashnikov is an associate lecturer at the Department of Geoinformatics (SSAU). The scope of his scientific interests
includes image processing, compression, and statistical coding. He has 30 publications, including 12 papers and a monograph
(with co-authors). He is a member of the Russian Association for Image Recognition and Analysis.
Glumov Nikolai Ivanovich (b. 1962) graduated from the Kuibyshev Aviation Institute (now Samara State Aerospace University) in 1985. In 1994, he defended
his Ph.D. thesis in engineering. At present, Glumov is a senior scientist at the Institute of Image Processing Systems, Russian
Academy of Sciences. His scientific interests include image processing and recognition, image compression, and simulation
of digital image formation systems. He has more than 60 publications, including 20 articles and a monograph (with co-authors).
He is a member of the Russian Association of Image Recognition and Analysis.
Sergeyev Vladislav Viktorovich (b. 1951) graduated from the Kuibyshev Aviation Institute (now Samara State Aerospace University) in 1974. In 1993, he defended
his D.Sc. (eng.) thesis. At present, V.V. Sergeyev heads the Laboratory of Mathematical Methods of Image Processing at the
Institute of Image Processing Systems, Russian Academy of Sciences. His scientific interests include digital signal processing,
image analysis, image recognition, and geoinformatics. He has more than 150 publications, including 40 articles and two monographs
(with co-authors). V.V. Sergeyev is the chairman of the Povolzh’e Division of the Russian Association for Pattern Recognition
and Image Analysis and a Corresponding Member of the Russian Academy of Ecology and the Academy of Engineering Sciences of
the Russian Federation, a member of SPIE (International Society for Optical Engineering), and a winner of the Samara Regional
Award in Science and Engineering. 相似文献
19.
A. Yu. Bavrina M. V. Gashnikov V. V. Sergeyev 《Pattern Recognition and Image Analysis》2007,17(1):25-27
A method of hierarchical compression of 3D digital signals is considered as a generalization of the familiar image compression
method based on the hierarchical grid interpolation to the 3D case. Special attention is paid to constructing 3D interpolation
systems. The effectiveness of the method developed here is compared to the prototype using only 2D dependences.
Bavrina Alina Yur’evna (b. 1980) graduated from the Samara State Aerospace University (SSAU) in 2003. At present, she is a research scholar at the
department of Geoinformatics, SSAU. Her scientific interests include image processing, compression, and geoinformatics. A.Yu.Bavrina
has more than 10 publications, including 4 articles. She is a member of the Russian Association for Image Recognition and
Analysis.
Gashnikov Mikhail Valer’evich (b. 1975) graduated from the Samara State Aerospace University (SSAU) in 1998. In 2004, he defended his Ph.D. (Eng.) thesis.
At present, M.V. Gashnikov is an associate lecturer at the Department of Geoinformatics (SSAU). The scope of his scientific
interests includes image processing, compression, and statistical coding. He has 30 publications, including 12 papers and
a monograph (with coauthors). M.V. Gashnikov is a member of the Russian Association for Image Recognition and Analysis.
Sergeyev Vladislav Viktorovich (b. 1951) graduated from the Kuibyshev Aviation Institute (now Samara State Aerospace University) in 1974. In 1993, he defended
his D.Sc. (eng.) thesis. At present, V.V. Sergeyev heads the Laboratory of Mathematical Methods of Image Processing at the
Institute of Image Processing Systems, Russian Academy of Sciences. His scientific interests include digital signal processing,
image analysis, image recognition, and geoinformatics. He has more than 150 publications, including 40 articles and two monographs
(with co-authors). V.V. Sergeyev is the chairman of the Povolzh’e Division of the Russian Association for Pattern Recognition
and Image Analysis and a Corresponding Member of the Russian Academy of Ecology and the Academy of Engineering Sciences of
the Russian Federation, a member of SPIE (International Society for Optical Engineering), and a winner of the Samara Regional
Award in Science and Engineering. 相似文献
20.
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