Journal Guide

The Journal of Computer and System Sciences International is the leading scientific journal of the Russian Academy of Sciences in all areas of control theory and systems. The journal features papers on the theory and methods of control as well as papers devoted to the study, design, modeling, development, and application of new control systems. Papers reflect contemporary research and development in the field, with particular attention given to computer methods and technologies. In addition to research articles, the journal publishes proceedings of international scientific conferences and provides reviews by top experts from Russia and abroad on current and emerging problems in the field of control.

Current developments in new image processing hardware, the advent of multisensor data fusion, and rapid advances in vision research have led to an explosive growth in the interdisciplinary field of imaging science. Emphasizing the role of mathematics as a rigorous basis for imaging science, this journal details innovative or established mathematical techniques applied to vision and imaging problems in a novel way. It also reports on new developments and problems in mathematics arising from these applications. The scope of Journal of Mathematical Imaging and Vision includes: - computational models of vision; imaging algebra and mathematical morphology - mathematical methods in reconstruction, compactification, and coding - filter theory - probabilistic, statistical, geometric, topological, and fractal techniques and models in imaging science - inverse optics - wave theory. This journal contains research articles, invited papers, and expository articles.

The Journal of Visual Communication and Image Representation publishes papers on state-of-the-art visual communication and image representation, with emphasis on novel technologies and theoretical work in this multidisciplinary area of pure and applied research. The field of visual communication and image representation is considered in its broadest sense and covers both digital and analog aspects as well as processing and communication in biological visual systems.Research Areas include:• Image scanning, sampling, and tessellation• Image representation by partial information• Local and global schemes of image representation• Analog and digital image processing• Fractals and mathematical morphology• Image understanding and scene analysis• Deterministic and stochastic image modeling• Visual data reduction and compression• Image coding and video communication• Biological and medical imaging• Early processing in biological visual systems• Psychophysical analysis of visual perception• Astronomical and geophysical imaging• Visualization of nonlinear natural phenomena• real-time imagingBenefits to authorsWe also provide many author benefits, such as free PDFs, a liberal copyright policy, special discounts on Elsevier publications and much more. Please click here for more information on our author services.Please see our Guide for Authors for information on article submission. If you require any further information or help, please visit our support pages: http://support.elsevier.com

The Journal of the Optical Society of America A (JOSA A) is devoted to developments in any field of classical optics, image science, and vision. JOSA A includes original peer-reviewed papers on such topics as atmospheric optics, image processing, scattering and coherence theory, machine vision, statistical optics, diffraction and gratings, polarization, thin films, signal processing, color, physiological optics, clinical vision, and visual optics.

Sponsored by the International Association for Pattern Recognition, this journal publishes high-quality, technical contributions in machine vision research and development. Machine Vision and Applications features coverage of all applications and engineering aspects of image-related computing, including original contributions dealing with scientific, commercial, industrial, military, and biomedical applications of machine vision. The journal places particular emphasis on the engineering and technology aspects of image processing and computer vision. It includes coverage of the following aspects of machine vision applications: algorithms, architectures, VLSI implementations, AI techniques and expert systems for machine vision, front-END sensing, multidimensional and multisensor machine vision, real-time techniques, image databases, virtual reality and visualization.

Medical Image Analysis provides a forum for the dissemination of new research results in the field of medical and biological image analysis, with special emphasis on efforts related to the applications of computer vision, virtual reality and robotics to biomedical imaging problems. The journal publishes the highest quality, original papers that contribute to the basic science of processing, analysing and utilizing medical and biological images for these purposes. The journal is interested in approaches that utilize biomedical image datasets at all spatial scales, ranging from molecular/cellular imaging to tissue/organ imaging. While not limited to these alone, the typical biomedical image datasets of interest include those acquired from:Magnetic resonanceUltrasoundComputed tomographyNuclear medicineX-rayOptical and Confocal MicroscopyVideo and range data imagesThe types of papers accepted include those that cover the development and implementation of algorithms and strategies based on the use of various models (geometrical, statistical, physical, functional, etc.) to solve the following types of problems, using biomedical image datasets: representation of pictorial data, visualization, feature extraction, segmentation, inter-study and inter-subject registration, longitudinal / temporal studies, image-guided surgery and intervention, texture, shape and motion measurements, spectral analysis, digital anatomical atlases, statistical shape analysis, computational anatomy (modelling normal anatomy and its variations), computational physiology (modelling organs and living systems for image analysis, simulation and training), virtual and augmented reality for therapy planning and guidance, telemedicine with medical images, telepresence in medicine, telesurgery and image-guided medical robots, etc.Benefits to authorsWe also provide many author benefits, such as free PDFs, a liberal copyright policy, special discounts on Elsevier publications and much more. Please click here for more information on our author services.Please see our Guide for Authors for information on article submission. If you require any further information or help, please visit our support pages: http://support.elsevier.com

Multisensory Research is an interdisciplinary archival journal covering all aspects of multisensory processing including the control of action, cognition and attention. Research using any approach to increase our understanding of multisensory perceptual, behavioural, neural and computational mechanisms is encouraged. Empirical, neurophysiological, psychophysical, brain imaging, clinical, developmental, mathematical and computational analyses are welcome. Research will also be considered covering multisensory applications such as sensory substitution, crossmodal methods for delivering sensory information or multisensory approaches to robotics and engineering. Short communications and technical notes that draw attention to new developments will be included, as will reviews and commentaries on current issues. Special issues dealing with specific topics will be announced from time to time. Multisensory Research is a continuation of Seeing and Perceiving: a Journal of Multisensory Science , and of Spatial Vision.

The first academic journal for serious investigators of teleoperators and virtual environments, Presence is filled with stimulating material applicable to these advanced electromechanical and computer devices.Incorporating perspectives from physics to philosophy, Presence appeals to a wide audience - particularly mechanical and electrical engineers concerned with teleoperators; those interested in virtual environments, including computer scientists, high-tech artists, and media people; and psychologists involved in the study of human-machine interfaces and sensorimotor/cognitive behavior.

This journal presents original research that describes novel pattern analysis techniques as well as industrial and medical applications. It details new technology and methods for pattern recognition and analysis in applied domains, including computer vision and image processing, speech analysis, robotics, multimedia, document analysis, character recognition, knowledge engineering for pattern recognition, fractal analysis, and intelligent control. Pattern Analysis and Applications (PAA) also examines the use of advanced methods, including statistical techniques, neural networks, genetic algorithms, fuzzy pattern recognition, machine learning, and hardware implementations which are either relevant to the development of pattern analysis as a research area or detail novel pattern analysis applications. The journal contains case-studies as well as reviews on benchmarks, evaluations of tools, and important research activities at international centers of excellence.

Pattern Recognition is the official journal of the Pattern Recognition Society. The Society was formed to fill a need for information exchange among research workers in the pattern recognition field. Up to now, we ''pattern-recognitionophiles'' have been tagging along in computer science, information theory, optical processing techniques, and other miscellaneous fields. Because this work in pattern recognition presently appears in widely spread articles and as isolated lectures in conferences in many diverse areas, the purpose of the journal Pattern Recognition is to give all of us an opportunity to get together in one place to publish our work. The journal will thereby expedite communication among research scientists interested in pattern recognition.We consider pattern recognition in the broad sense, and we assume that the journal will be read by people with a common interest in pattern recognition but from many diverse backgrounds. These include biometrics, target recognition, biological taxonomy, meteorology, space science, classification methods, character recognition, image processing, industrial applications, neural computing, and many others.The publication policy is to publish (1) new original articles that have been appropriately reviewed by competent scientific people, (2) reviews of developments in the field, and (3) pedagogical papers covering specific areas of interest in pattern recognition. Various special issues will be organized from time to time on current topics of interest to Pattern Recognition.Benefits to authorsWe also provide many author benefits, such as free PDFs, a liberal copyright policy, special discounts on Elsevier publications and much more. Please click here for more information on our author services.Please see our Guide for Authors for information on article submission. If you require any further information or help, please visit our support pages: http://support.elsevier.com

Pattern Recognition Letters aims at rapid publication of concise articles of a broad interest in pattern recognition.Subject areas include all the current fields of interest represented by the Technical Committees of the International Association of Pattern Recognition, and other developing themes involving learning and recognition. Examples include:• Statistical, structural, syntactic pattern recognition;• Neural networks, machine learning, data mining;• Discrete geometry, algebraic, graph-based techniques for pattern recognition;• Signal analysis, image coding and processing, shape and texture analysis;• Computer vision, robotics, remote sensing;• Document processing, text and graphics recognition, digital libraries;• Speech recognition, music analysis, multimedia systems;• Natural language analysis, information retrieval;• Biometrics, biomedical pattern analysis and information systems;• Scientific, engineering, social and economical applications of pattern recognition;• Special hardware architectures, software packages for pattern recognition.We invite contributions as research reports or commentaries.Research reports should be concise summaries of methodological inventions and findings, with strong potential of wide applications.Alternatively, they can describe significant and novel applications of an established technique that are of high reference value to the same application area and other similar areas.Commentaries can be lecture notes, subject reviews, reports on a conference, or debates on critical issues that are of wide interests.To serve the interests of a diverse readership, the introduction should provide a concise summary of the background of the work in an accepted terminology in pattern recognition, state the unique contributions, and discuss broader impacts of the work outside the immediate subject area. All contributions are reviewed on the basis of scientific merits and breadth of potential interests.

Pattern Recognition and Image Analysis: Advances in Mathematical Theory and Applications is a per reviewed international journal featuring top papers in pattern recognition, image recognition, analysis, understanding, and processing. Emphasis is laid on rapid publishing of concise articles covering theory, methodology, and applications. Major topics include mathematical theory of pattern recognition and image analysis, raw data representation, computer vision, image mining, processing and understanding, machine learning, computer graphics, forecasting, data and knowledge bases, data mining, neural nets, artificial intelligence, software, specialized computer architectures, applications, and related areas.