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S. Colantonio M. Martinelli O. Salvetti I. B. Gurevich Y. O. Trusova 《Pattern Recognition and Image Analysis》2008,18(2):332-341
Cell image analysis in microscopy is the core activity of cytology and cytopathology for assessing cell physiological (cellular
structure and function) and pathological properties. Biologists usually make evaluations by visually and qualitatively inspecting
microscopic images: this way, they are particularly able to recognize deviations from normality. Nevertheless, automated analysis
is strongly preferable for obtaining objective, quantitative, detailed, and reproducible measurements, i.e., features, of cells. Yet, the organization and standardization of the wide domain of features used in cytometry is still a matter of
challenging research. In this paper, we present the Cell Image Analysis Ontology (CIAO), which we are developing for structuring
the cell image features domain. CIAO is a structured ontology that relates different cell parts or whole cells, microscopic images, and cytometric features. Such an ontology
has incalculable value since it could be used for standardizing cell image analysis terminology and features definition. It
could also be suitably integrated into the development of tools for supporting biologists and clinicians in their analysis
processes and for implementing automated diagnostic systems. Thus, we also present a tool developed for using CIAO in the
diagnosis of hematopoietic diseases.
The text was submitted by the authors in English.
Sara Colantonio. MSc degree with honors in computer science, University of Pisa, 2004; PhD student in information engineering at the Department
of Information Engineering, Pisa University; research fellow at the Institute of Information Science and Technologies, National
Research Council, Pisa. Received a grant from Finmeccanica for studies in the field of image categorization with applications
in medicine and quality control. Her main interests include neural networks, machine learning, industrial diagnostics, and
medical imaging. Coauthor of more than 30 scientific papers. Currently involved in a number of European research projects
regarding image mining, information technology, and medical decision support systems.
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 Faculty of Computer Science, Moscow State University. Since 1960, has worked as an engineer and researcher
in industry, medicine, and 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
for applications in medicine, nondestructive testing, and process control; knowledge bases; knowledge-based systems. Two monographs
(in coauthorship); 135 papers on pattern recognition, image analysis, and theoretical computer science and applications in
peer-reviewed international and Russian journals and conference and workshop proceedings; one patent of the USSR and four
patents of the RF. Executive secretary of the Russian Association for Pattern Recognition and Image Analysis, member of the
governing board of the International Association for Pattern Recognition (representative from the Russian Federation), IAPR
fellow. Has served as PI of many research and development projects as part of national research (applied and basic) programs
of the Russian Academy of Sciences, the Ministry of Education and Science of the Russian Federation, the Russian Foundation
for Basic Research, the Soros Foundation, and INTAS. Deputy editor in chief of Pattern Recognition and Image Analysis.
Massimo Martinelli. Works at the Institute of Information Science and Technologies (ISTI), National Research Council (CNR), Pisa. Member of the
W3C multimedia semantics incubator group; coordinator of the CNR-ISTI web systems group. His main interests include semantic
web and web technologies. Coauthor of more than 50 scientific papers. Currently involved in a number of European research
projects regarding semantic web, information technology, multimedia semantics, and medical decision support systems.
Ovidio Salvetti. Director of research at the Institute of Information Science and Technologies (ISTI), National Research Council (CNR), Pisa.
Working in the field of theoretical and applied computer vision. His fields of research are image analysis and understanding,
pictorial information systems, spatial modeling, and intelligent processes in computer vision. Coauthor of four books and
monographs and more than 300 technical and scientific articles, with ten patents regarding systems and software tools for
image processing. Has served as a scientific coordinator of several national and European research and industrial projects,
in collaboration with Italian and foreign research groups, in the fields of computer vision and high-performance computing
for diagnostic imaging. Member of the editorial boards of the international journals Pattern Recognition and Image Analysis and G. Ronchi Foundation Acts. Currently the CNR contact person in ERCIM (the European Research Consortium for Informatics and Mathematics) for the Working
Group on Vision and Image Understanding and a member of IEEE and of the steering committee of a number of EU projects. Head
of the ISTI Signals and Images Laboratory.
Yulia O. Trusova. Born 1980. Graduated from the Faculty of Computational Mathematics and Cybernetics of Lomonosov Moscow State University in
2002. Works at the 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 computational
linguistics. Coauthor of more than 25 papers. Laureate of the Aspirant Award, 2003–2005. Member of the Russian Association
for Pattern Recognition and Image Analysis. 相似文献
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Transcranial Doppler detection and monitoring of cerebral microemboli have provided a new and useful method to diagnose, and
potentially to foresee, increased risk of stroke. Until now, however, the assessment of this method in routine clinical practice
has been limited by the lack of a reliable automatic differentiation between solid and gaseous microemboli. The aim of this
work is the definition of a clinical diagnostic support procedure for the automatic recognition of emboli of different composition.
The proposed method makes use of image processing techniques and neural algorithms for data interpretation and performs a
feature-based analysis of the ultrasonographic images showing the microembolic events. Application to clinical cases selected
by expert neurologists for their clinical relevance and experimental results have showed effective operability of the developed
procedure.
The text was submitted by the authors in English.
Sara Colantonio, MS honors degree in Computer Science from the University of Pisa in 2004, PhD student in information engineering at the
Dept. of Information Engineering, University of Pisa, is a research fellow at the Institute of Information Science and Technologies
of the Italian National Research Council, in Pisa. She has a grant from Finmeccanica for studies in the field of image categorization
with applications in medicine and quality control. Her main interests include neural networks, machine learning, industrial
diagnostics, and medical imaging. She is coauthor of more than fifteen scientific papers. At present, she is involved in a
number of European research projects regarding image mining, information technology, and medical decision support systems.
Ovidio Salvetti, director of research at the Institute of information science and Technologies (ISTI) of the Italian National Research Council
(CNR), in Pisa, is working in the field of theoretical and applied computer vision. His fields of research are image analysis
and understanding, pictorial information systems, spatial modeling, and intelligent processes in computer vision.
He is coauthor of four books and monographs and more than three hundred technical and scientific articles; he is also owner
of ten patents regarding systems and software tools for image processing. He has been scientific coordinator of several national
and European research and industrial projects in the fields of computer vision and high-performance computing for diagnostic
imaging.
He is member of the editorial boards of the international journals Pattern Recognition and Image Analysis and G. Ronchi Foundation Acts. He is at present the CNR contact person in ERCIM (the European Research Consortium for Informatics and Mathematics) for
the Working Group on “Vision and Image Understanding,” member of IEEE and of the steering committee of a number of EU projects.
He is head of the ISTI Signals and Images Laboratory. 相似文献
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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
10.
Left Ventricle (LV) Ejection Fraction (EF) is a fundamental parameter for heart function assessment. Being based on border
tracing, however, manual computation of EF is time-consuming and extremely prone to inter-and intraobserver variability. In
this paper we present an automatic method for EF computation which provides results in agreement with those provided by expert
observers. The segmentation strategy consists of two stages: first, the region of interest is identified by means of mimetic
criteria; then, the identified region is used for initialization of an active contour based on a variational formulation of
level set methods, which provides accurate segmentation of the LV cavity. Volume calculation is then performed according to
the conventional Simpson’s rule and, finally, the EF is computed.
The text was submitted by the authors in English.
Umberto Barcaro is an Associate Professor at the Computer Science Department of Pisa University and an Associate Researcher at the Signals
and Images Laboratory of the Institute of Information Science and Technologies of the National Research Council. He teaches
Physics and Computer Science Laboratory at the Faculty of Pharmacy, and Signal Theory at the Faculty of Sciences. His research
activity regards the automatic analysis of signals and images of clinical interest. In particular, he has studied spontaneous
and evoked electroencephalographic and polygraphic signals, and ultrasound images.
Davide Moroni (Magenta, 1977), M.Sc. in Mathematics honours degree from the University of Pisa in 2001, dipl. at the Scuola Normale Superiore
of Pisa in 2002, PhD in Mathematics at the University of Rome “La Sapienza” in 2006, is a research fellow at the Institute
of Information Science and Technologies of the Italian National Research Council, in Pisa. His main interests include geometric
modeling, computational topology, image processing and medical imaging. At present he is involved in a number of European
research projects working in discrete geometry and dynamic scene analysis.
Ovidio Salvetti, director of research at the Institute of Information Science and Technologies (ISTI) of the Italian National Research Council
(CNR), in Pisa, is working in the field of theoretical and applied computer vision. His fields of research are image analysis
and understanding, pictorial information systems, spatial modeling, and intelligent processes in computer vision.
He is a coauthor of four books and monographs and more than three hundred technical and scientific articles; he also possesses
ten patents regarding systems and software tools for image processing. He has been a scientific coordinator of several national
and European research and industrial projects, in collaboration with Italian and foreign research groups, in the fields of
computer vision and high-performance computing for diagnostic imaging.
He is member of the editorial boards of the international journals Pattern Recognition and Image Analysis and G. Ronchi Foundation Acts. He is at present the CNR contact person in ERCIM (the European Research Consortium for Informatics and Mathematics) for
the Working Group on Vision and Image Understanding, member of IEEE and of the steering committee of a number of EU projects.
He is head of the ISTI Signals and Images Laboratory. 相似文献
11.
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
12.
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
13.
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
14.
E. Bozzi G. Cavaccini M. Chimenti M. G. Di Bono O. Salvetti 《Pattern Recognition and Image Analysis》2007,17(4):545-553
An image processing procedure is proposed aiming at detecting porosity defects in materials used in the aerospace industry
by means of the analysis of C-scan images obtained by ultrasound inspection techniques. An image is described through a number
of features, which are then analyzed in order to evaluate the similarity of an unknown examined image with respect to a set
of reference ones. The procedure is performed by firstly applying a 2D wavelet transform of the input image and then a feature
extraction process based on statistics of the detail images produced by the transform itself. A data reduction process is
then applied using the principal component analysis technique. Finally, a decision ruler performs the image classification
by considering the distance among points in the principal component plane. An application of this procedure is presented for
the analysis of single images, giving a localization of defects. Preliminary results, obtained by processing both simulation
images and real C-scan maps, showed the efficacy of the proposed method.
The text was submitted by the authors in English.
Edoardo Bozzi (Pisa, 1943) is a researcher at ISTI-CNR, in Pisa, working in the field of signal processing. His main interests include
design of hardware and software instrumentation and development of noninvasive diagnostic techniques for medical and industrial
applications. He is author of about a hundred technical papers.
Maria Grazia Di Bono (Potenza, 1975), MS (2002) in computer science from the University of Pisa, has been performing since March 2003 her research
activity at ISTI-CNR, in Pisa, working in the field of computer vision. Her main interests include neural networks, multimedia
processing, and web systems for industrial and medical applications. She is coauthor of more than twelve technical and scientific
papers.
G. Cavaccini. Born in Naples October 28, 1959. Graduate in physics. From 1986 to 1988, he was at the Naples Section of the National Institute
for Nuclear Physics, where he participated in research on gamma spectroscopy. From 1988 to 1999, he was at Aerodynamics Institute
U. Nobile of the University of Naples with a scholarship on “Nondestructive Testing of Aeronautical Structures by Means of
Thermographics Techniques.” From 1989 to the present date, he has been an Alenia Aeronautica employee. Up to 2001, he worked
as an NDI technologist and researcher at the Engineering Materials, Processes, and NDI Dept. He holds ASNT Level III, Italian
Aerospace NDT Board, and JAR 145 NDT certifications. He is involved also as coordinator in national and European research
programs; since 2001, he has been responsible for nondestructive testing and structural health monitoring, as well as for
the exploitation of technology research.
Massimo Chimenti (Altopascio, 1946) is a senior scientist at ISTI-CNR, in Pisa, working in the field of signal and image formation, acquisition,
and preprocessing. His scientific interests range from hardware design to software systems with specific applications in medical
imaging. He is author of more than two hundred technical and scientific papers and he is also owner of more than ten patents
regarding hardware and software systems for image acquisition and processing. He is at present leader of a research group
in the Signals and Images Lab of ISTI working in the field of microwave and ultrasound imaging.
Ovidio Salvetti, Director of Research at the Institute of Information Science and Technologies (ISTI) of the Italian National Research Council
(CNR), in Pisa, is working in the field of theoretical and applied computer vision. His fields of research are image analysis
and understanding, pictorial information systems, spatial modeling, and intelligent processes in computer vision.
He is coauthor of four books and monographs and more than three hundred technical and scientific articles; he is also owner
of ten patents regarding systems and software tools for image processing. He has been scientific coordinator of several national
and European research and industrial projects, in collaboration with Italian and foreign research groups, in the fields of
computer vision and high-performance computing for diagnostic imaging. He is member of the editorial boards of the international
journals Pattern Recognition and Image Analysis and G. Ronchi Foundation Acts. He is at present the CNR contact person in ERCIM (the European Research Consortium for Informatics and Mathematics) for
the Working Group on “Vision and Image Understanding,” member of IEEE and of the steering committee of a number of EU projects.
He is head of the ISTI Signals and Images Laboratory. 相似文献
15.
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
16.
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
17.
G. Pieri M. Benvenuti E. Carnier O. Salvetti 《Pattern Recognition and Image Analysis》2007,17(2):191-198
The task of detection and tracking of a moving object is addressed. Algorithms have been developed which perform this task
for monitoring and surveillance purposes. Prediction is also implemented in the algorithm to locate the target in order to
keep it stationary in the center of the image, resolve events of occlusion or masking, and increase normal tracking performance.
Real-time implementation generates deformation in target appearance, and then a shape database is used to improve these situations
when a target is lost. A prototypical system has been developed that makes use of a moving camera located on a robotized system.
A case study is presented about animal tracking in infrared live video.
The text was submitted by the authors in English.
Gabriele Pieri (Pescia, 1974), M. Sci. (2000) in Computer Science from the University of Pisa, since 2001 joined the “Signals and Images”
Laboratory at ISTI-CNR, Pisa, working in the field of image analysis. His main interests include neural networks, machine
learning, industrial diagnostics, and medical imaging. He is the author of more than 20 papers.
Marco Benvenuti, born in 1965. He received a degree in electronic engineering from the University of Florence in 1994. Since 2002 he is director
of the Research and Development Department of TD Group Spa. Since 1994 he has been a researcher and consultant of the National
Research Council of Italy and he collaborates with various private and public research institutions, charged as scientifically
responsible of several national and international research projects. His fields of activity are related to data and image
processing and integration for environmental monitoring and analysis, satellite and airborne remote sensing techniques, and
GIS applications. He has long experience in international projects management and was reviewer of the EU Commission as an
expert on remote sensing and GIS applications. He has been a consultant to certain international organizations, such as the
World Meteorological Organisation, F.A.O., and the European Space Agency. In 1996 he was the Italian delegate to the Thematic
Cooperation Group on Operational Environment Monitoring of the DG-XII (EC). He has publications and communications at the
national and international level.
Edoardo Carnier, born in 1962. He received a degree in computer science from the University of Pisa in 1997, developing a thesis on high order
perceptron initialization. He has strong experience in image processing and analysis. He participated in the design and development
of the SIRIO infrared system for environmental monitoring and, in particular, contributed to the study and implementation
of tracking and motion detection algorithms. Since February 1998 he has been on the staff of the research and development
group of TD Group Spa as project manager on a research project to realize an integrated system based on infrared technology
for video-surveillance applications.
Ovidio Salvetti, Director of Research at the Institute of Information Science and Technologies (ISTI) of the Italian National research Council
(CNR), in Pisa, is working in the field of theoretical and applied computer vision. His fields of research are image analysis
and understanding, pictorial information systems, spatial modeling and intelligent processes in computer vision.
He is co-author of four books and monographs and more than three hundreds technical and scientific articles; he is also owner
of ten patents regarding systems and software tools for image processing. He has been scientific coordinator of several National
and European research and industrial projects, in collaboration with Italian and foreign research groups, in the fields of
computer vision and high-performance computing for diagnostic imaging.
He is member of the Editorial Boards of the International Journals Pattern Recognition and Image Analysis and G. Ronchi Foundation Acts. He is at present the CNR Contact Person in ERCIM (the European Research Consortium for Informatics and Mathematics) for
the Working Group on “Vision and Image Understanding,” Member of IEEE and of the Steering Committee of a number of EU Projects.
He is Head of the ISTI “Signals and Images” Laboratory. 相似文献
18.
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
19.
20.
Constrained frequent patterns and closed frequent patterns are two paradigms aimed at reducing the set of extracted patterns
to a smaller, more interesting, subset. Although a lot of work has been done with both these paradigms, there is still confusion
around the mining problem obtained by joining closed and constrained frequent patterns in a unique framework. In this paper,
we shed light on this problem by providing a formal definition and a thorough characterisation. We also study computational
issues and show how to combine the most recent results in both paradigms, providing a very efficient algorithm that exploits
the two requirements (satisfying constraints and being closed) together at mining time in order to reduce the computation
as much as possible.
Francesco Bonchi received his Ph.D. in computer science from the University of Pisa in December 2003, with the thesis “Frequent Pattern Queries:
Language and Optimizations”. Currently, he is a postdoc at the Institute of Information Science and Technologies (ISTI) of
the Italian National Research Council in Pisa, where he is a member of the Knowledge Discovery and Delivery Laboratory. He
has been a visiting fellow at the Kanwal Rekhi School of Information Technology, Indian Institute of Technology, Bombay (2000,
2001). His current research interests are data mining query language and Optimization, frequent pattern mining, privacy-preserving
data mining, bioinformatics. He is one of the teachers of a course on data mining held at the faculty of Economics at the
University of Pisa. He served as a referee at various national and international conferences on databases, data mining, logic
programming and artificial intelligence.
Claudio Lucchese received the Master Degree in Computer Science summa cum laude from Ca' Foscari University of Venice in October 2003. He is currently a Ph.D. student at the same university and Research
Associate at the Institute of Information Science and Technologies (ISTI) of the Italian National Research Council in Pisa,
where he is a member of the High Performance Computing Laboratory. He is mainly interested in frequent pattern mining, privacy-preserving
data mining, and data mining techniques for information retrieval. 相似文献