bluuebunny/crossref_metadata_2025 huggingface dataset:
Combining Influenza and COVID-19 Booster Vaccination Strategy to Improve Vaccination Uptake Necessary for Managing the Health Pandemic: A Systematic Review and Meta-Analysis
Authors: Tzenios Nikolaos , Tazanios Mary , Chahine Mohamad
Published: November 2022

Background: The uptake of COVID-19 booster vaccines has been significantly low. Therefore, it is questionable whether combining the COVID-19 booster vaccines with Influenza vaccines can increase the population's interest in taking such vaccines and manage the health pandemic effectively. Methodology: In this systematic review and meta-analysis, a synthesis of the findings and summary of a total of 30 research articles based on the topic, ‘combining influenza and COVID-19 booster vaccination strategy’ was undertaken. The research articles were identified from three databases, namely, PubMed, Cochran Library, and Google Scholar using specific keywords and inclusion criteria. However, research articles that were not peer-reviewed and not published in English were excluded from the systematic review and meta-analysis. The average risk ratio of the included articles was 0.78% based on a 95% CI. On the other hand, the heterogeneity between such studies was I2 = 35%, while the statistical significance of their findings occurred at p < 0.05. The average p-value of the included research studies was p = 0.62, implying that the null hypothesis was not rejected in almost all the studies. Results: A synthesis of the chosen research articles revealed that when influenza and COVID-19 booster vaccines are combined, there is potential for an increase in the uptake of the latter, mainly because many populations have already been accustomed to taking influenza vaccines on an annual basis. Conclusions: In this way, through such findings, medical health experts can make informed decisions to increase the population's willingness to receive the COVID-19 booster vaccines.
Current Status of Tungiasis in Endemic Areas. Prevalence, Risk Factors, Prevention
Authors: Velev Valeri R
Published: November 2022

Tungiasis is a neglected parasitic skin disease caused by the permanent penetration of the female sand flea (Tunga penetrans) in the skin of the host, mainly the lower extremities.This gradually, it can lead to severe limb deformities.To date it is a health issue mainly in sub-Saharan Africa, the Caribbean, Latin and South America. It occurs mainly in poor rural populations and a major problem for children and the elderly. In diurnal zones, the incidence can reach over 73%. Over the past 20 years, studies in endemic areas on tungiasis have clarified to some extent the scientific community's knowledge for some problems of the disease. In this review, the current data on epidemiology, risk factors and prevention options are examinedof Tungiasis, as well as the expected steps of the international medical community to combat the disease.
Burying and Burrowing Behavior in Male and Female Normal and 3xTg-AD Mice: A New Comprehensive Study Based on the Two-Zone Configuration.
Authors: Santana-Santana Mikel , Bayascas Jose R. , Giménez-Llort Lydia
Published: November 2022

Burying and burrowing are promising rodent-typical behaviors to model neuropsychiatric symptoms (NPS). However, the original tests could be insufficient to conclude which NPS are modeled. Here, we propose methodological modifications such as the two-zone configuration and dual analysis in the Marble Burying Test (MB). Also, a new Brief Burrowing Test (BB), a 20 min brief version of the Deacon’s Burrowing Test (DB). We comprehensively studied these behaviors in 12-month-old male and female mice with normal and Alzheimer’s disease (AD)-pathological aging. The results: 1) confirm our precedent report of sexual dimorphism, with enhanced burying in male 3xTg-AD mice; 2) describe for the first time burrowing behavior in 3xTg-AD mice and its sex dependence; 3) regardless of the pattern, MB and BB reflected a goal-directed rather than an indiscriminate digging; 4) using the MB and BB to model anxiety-like behavior it’s not recommended; 5) burying and burrowing represent a repetitive rather than a stereotyped-like or perseverative behavior. In addition: 1) burying and burrowing behavioral patterns are alike, connected by several correlations; 2) the two-zones configuration is a useful tool to assess the intentionality of the burying and burrowing behaviors and to perform a more accurate screening of the NPS modeled by them.
Finding a Curve of Space by its Cyclographic Image
Authors: Myasoedova Tatyana Mikhailovna , Panchuk Konstantin Leonidovich , Lyubchinov Evgeniy Vladimirivich
Published: November 2022

The present paper explores the questions of development and practical application of the constructive method of geometric modeling. In particular, the paper justifies possibility of solution to the inverse problem of cyclographic mapping of a curve of space R3, i.e. reconstruction of a spatial curve given its cyclographic projection. It is proven that knowing either orthogonal and one of the two branches of the cyclographic projection of a curve of space R3 in plane z = 0, or both of its branches, is sufficient to determine a curve of space. The spatial curve, its orthogonal and cyclographic projections have common parameterization, which allows one to establish point-to-point bijection between these three elements and perform solutions of the direct and the inverse problems of cyclographic modeling of a spatial curve. The paper formulates and establishes theses justifying the possibility of analytic solution of practical tasks of cyclographic modeling, for example, cutting tool trajectory calculation for high-precision pocket machining of machine-building products on NC units. The algorithm for solution to the inverse problem is demonstrated on examples.
Determination of Surface Structural Complexity of Solid-State Materials
Authors: Rybina Natalia Vladimirovna , Alpatov Alexey Viktorovich , Rybin Nikolai Borisovich , Maslov Alexei Alekseevich
Published: November 2022

In this paper we analyzed methods of investigating structure features in solid-state materials and developed a new algorithm for determining the surface structural complexity of these materials based on the two-dimensional detrended fluctuation analysis and the scale-space analysis. It is proposed to evaluate the surface structural complexity by calculating tangent of the angle of the fluctuation – spatial scale function and number of breakpoints on the fluctuation – spatial scale function. The developed algorithm was tested on the surface image of the Si layer implanted by Ag+ ions, subjected to the pulsed laser annealing. We found that investigated surface belongs to the type of surfaces with a high structural complexity. It was also shown that the scaling index – smoothing coefficient (scale) dependence can be used to study the dynamics of changes in the correlation properties of the surface. Knowledge about surface structural complexity of solid-state materials can be used to determine the material functional purpose in different fields of science.
On the Creation of 3D Mini-CAD System Based on Unified 3D Modeling Software Systems
Authors: Milvovzorov O.V. , Gribov N.V.
Published: November 2022

We are considering the development of highly specialized 3D modeling mini-CAD 3D system based on the domestic software complex of three-dimensional solid modeling T-Flex CAD 3D. Parametric CAD systems create libraries of standard parts, particularly fastening parts, based on a single base 3D model of such a part. However, the issues of using such systems to form 3D models of complex parts that provide semi-automatic formation of parametric 3D models of specific versions for groups of structurally similar parts have not been worked out. You will learn how to create complex parts, how to formalize them in the form of a tuple system of the features that make up the part, how to create 3D models of complex parts using the tools provided by T-Flex CAD 3D, and the interface that allows you to easily enter the configuration of a specific part and set numerical values for its design parameters.
Graphic Design Features of the User Interface of the Software Support System for Solving Engineering Tasks for the Selection of Equipment for Water Supply of the Structures
Authors: Titarev D.V. , Trunnikov M.V.
Published: November 2022

The paper is devoted to the development of the design of the user interface of a software system for solving engineering problems for the selection of equipment for water supply of the structures. The article analyzes the subject area with a description of the main components of the selection process. The basic requirements for software design are determined, on the basis of which the key features and principles of interface construction are identified. The elements of the interface of the main working web page of the software package developed by the authors for the selection of Pump manager pumping equipment are considered. The analysis of the influence of the developed design on the efficiency of the selection process and the reduction of potential user errors is carried out. The conclusion is made about the possibility of applying the identified features and principles of interface construction in the development of selection for other various equipment.
Drowning Rescue System with an Unmanned Aerial Vehicle
Authors: Mostakov N.A. , Goloburdin N.V. , Anisimov R.O. , Bakaev V.S. , Kulagin K.A.
Published: November 2022

The purpose of this report is to describe a drowning rescue system by means of a rescue UAV and monitoring system. Comprises: camera kit, PC, rescue UAV, operator. The report provides a description of the problem, the parameters of the camera and the rescue UAV. With the help of AI (Artificial Intelligence) elements and/or the operator the following is determined: the problem case, the position of the searched object is automatically calculated (by highlighting the searched object in the video stream from the camera; calibration tests have been developed to determine the exact position of the camera). Two types of calibration tests were developed to determine the exact position of the camera: primary and periodic calibration. Rescue UAV with the watercraft attached flies to the target location, delivering the rescue equipment. The rescue system has been successfully tested and has been actively exploited. After calculating the position of the desired object relative to the camera, the local coordinates are translated into the absolute coordinates of the WGS-84. Based on the obtained coordinates, a flight task for a rescue UAV is formed. A rescue UAV with an attached watercraft flies to the target point, delivering a rescue vehicle and hovers over the desired object to indicate the scene of the accident to the rescue team. The rescue system has successfully passed the test tests in the coastal city of Anapa and is actively used at the moment. The report provides further plans for the development of the rescue system.
Automation of Blood Microscopy Image Processing
Authors: Shagalova P.A. , Sokolova E.S. , Ryndov S.N.
Published: November 2022

Automation of medical image processing aims to create a universal tool for the purposes of medical diagnostics in the field of microscopy of cells and tissues. The authors of the paper have collected large databases of various digital microscopy images that allow to automate the processes of medical research using computer vision technologies, improve the quality of image analysis and provide a set of diagnostic information for decision making. For this purpose, a software package with a user-friendly interface has been developed that allows visualizing the results of detection of microobjects in images, determining their number and size, calculating the values of universal numerical parameters of the detected objects, creating a distribution of numerical parameter values in the form of histograms and diagrams, displaying the results in a user-friendly form, and saving the analysis results for further research. It is possible to analyze the dynamics of biomedical processes using a set of images. The modular architecture of the developed software package allows to extend its functionality, add new modules to solve biomedical problems and visualize the results of image processing. The paper presents the results of image processing of blood microscopy to determine its parameters, which include the characteristics of erythrocytes, platelets, and blood cell aggregation processes. In addition, the automated image processing system is suitable for solving problems of microscopy image analysis in other application areas.
Possibility of Import Substitution of Software in the Field of 3D Modeling
Authors: Gunkova R.M. , Serova M.A. , Nikishin A.E.
Published: November 2022

The article is devoted to the actual problem of import substitution of licensed software in the field of 3D modeling, in particular - the design of interior. The peculiarity of this area is the need to recreate a photorealistic image. At the moment foreign companies occupy the main niche on the Russian market while the products from Russian developers are not widespread or are inferior in their functionality to foreign developments. In this article the basic software products on the market were considered in details, their features and disadvantages, opportunities and license costs for different categories of users were revealed, and the examples of models built in these programs were given. The comparison of national software products was carried out on the possibility of creating their own 3d models, teamwork, importing and exporting models, the possibility of rendering, as well as comparing the cost of licenses for educational institutions. The comparison results showed that import substitution in the field of 3D-modeling is possible due to full-featured programs KOMPAS-3D and NanoCAD, however, in the field of interior design and polygonal modeling at the moment there is a lack of strong Russian developments in this industry.
Vector Textures Implementation in Photorealistic Rendering System on GPU
Authors: Sanzharov Vadim Vladimirovich , Frolov Vladimir Alexandrovich , Galaktionov Vladimir Alexandrovich
Published: November 2022

Vector images provide a resolution independent representation that can be efficiently scaled to any resolution. However, there is no ready-to-use solution for supporting vector texturing in GPU based photorealistic rendering systems. In this work we present the experience of implementing support for vector textures in such rendering system using two different approaches – one based on signed distance fields and another based on rasterization. We describe implementation details and analyze the quality and performance of these methods.
Visualization of the Tip Vortex Influenced by Supersonic Incoming Flow Disturbances
Authors: Kostantinovskaya Tatiana Vitalievna , Borisov Vitaly Evgenyevich , Lutsky Alexander Evgenievich
Published: November 2022

The paper presents the analysis results of a supersonic tip vortex propagation when the incoming flow is disturbed by an energy source in front of the wing generator using the methods of scientific visualization. The energy source center is located upstream from the wing generator angle formed by its leading and tip edges. The used wing is straight, rectangular in plan with sharp leading, tip and trailing edges, located at an angle of 10° degrees to the incoming flow with Mach number M? = 3. Numerical data were obtained in an area exceeding 30 wing chords downstream from the wing axis. Numerical model based on URANS equations with the hybrid method DES based on the turbulence model SA was used. Numerical simulations were carried out on the K-60 hybrid supercomputer system at the Keldysh Institute of Applied Mathematics RAS. Scientific visualization is performed both by widespread traditional vortex identification methods ?2 and Q, and by the method of the latest generation Liutex, which is free from shear and compressive components of the strain rate tensor by its construction. Significant differences in the applying results of the classical scientific visualization methods and the latest generation visualization method to the vortex identification in considered problem are shown.
Information Visualization Based on Attributed Hierarchical Graphs with Ports
Authors: Kasyanov Victor Nikolaevich , Kasyanova Elena Viktorovna , Zolotuhin Timur Alexandrovich
Published: November 2022

Information visualization based on graph models has many applications in both real and theoretical fields. Since the information that it is desirable to visualize is constantly growing and becoming more complex, more powerful graph-theoretic formalisms are required and appear to represent structured information models with a hierarchical structure. One of these formalisms is the so-called attributed hierarchical graphs. It allows selecting in the original graph a set of such parts (so-called fragments) that all elements of each fragment deserve separate joint consideration, and all fragments of the selected set form a nesting hierarchy. Visual Graph is a visualization system which is constructed at the A.P. Ershov Institute of Informatics Systems to explore complex structured big data through their visual representations based on attributed hierarchical graphs. In many applications, objects modeled by graph vertices are complex and contain non-intersecting logical parts (so called ports) through which these objects are in a relationship modeled by arcs. In this paper a formalism of attributed hierarchical graphs with ports and new possibilities of the Visual Graph system for information visualization based on this graph formalism are considered.
Gas Flow Structures Detection on Shadowgraph Images and Their Matching to CFD Using Convolutional Neural Networks
Authors: Doroshchenko Igor Alexandrovich , Znamenskaya Irina Alexandrovna , Lutsky Alexander Evgenievich
Published: November 2022

Shadowgraph imaging has been widely used to study flow fields in experimental fluid dynamics. Nowadays high-speed cameras allow to obtain millions of frames per second. Thus, it is not possible to analyze and process such large data sets manually and automatic image processing software is required. In the present study a software for automatic flow structures detection and tracking was developed based on the convolutional neural network (the network architecture is based on the YOLOv2 algorithm). Auto ML techniques were used to automatically tune model and hyperparameters and speed-up model development and training process. The neural network was trained to detect shock waves, thermal plumes, and solid particles in the flow with high precision. We successfully tested out software on high-speed shadowgraph recordings of gas flow in shock tube with shock wave Mach number M = 2-4.5. Also, we performed CFD to simulate the same flow. In recent decades, the amount of data in numerical simulations has grown significantly due to the growth in performance of computers. Thus, machine learning is also required to process large arrays of CFD results. We developed another ML tool for experimental and simulated by CFD shadowgraph images matching. Our algorithm is based on the VGG16 deep neural network for feature vector extraction and k-nearest neighbors algorithm for finding the most similar images based on the cosine similarity. We successfully applied our algorithm to automatically find the corresponding experimental shadowgraph image for each CFD image of the flow in shock tube with a rectangular obstacle in the flow channel.
Modeling and Visualization of Lava Flows
Authors: Starodubtsev Iliya Sergeevich , Vasev Pavel Alexandrovich , Starodubtseva Yuliya Vladimirovna , Tsepelev Igor Anatolievich
Published: November 2022

The study of the behavior of lava flows plays an important role in predicting, preventing and reducing the consequences of volcanic eruptions. Lava has been used as a building material for centuries and has been a source of nutrients for agriculture, but lava flows remain a threat to human activities. The model of spreading of a viscous inhomogeneous incompressible fluid under the action of grav- itational forces is used to describe the lava flow process. The mathematical model is described by the Navier-Stokes equation and the continuity equation with the corresponding initial and boundary conditions. The model takes into account the variable viscosity of the lava, which depends on the volume fraction of crystals. As a spreading surface, we use the generated topography, which is a realistic slope of a mountainous area, formed taking into account natural geological processes. Numerical simulation is carried out using the meshless SPH method. The results of several model cases of lava flows over the surface are presented. Simulation results are visualized using our custom-developed Cinema Science 3D approach. It allows a custom 3D visualization to be programmed using simple CSV file. We used it for presenting our results in a natural view, showing underlying terrain as mesh and lava as points, moving and changing according to time and other computation parameters. This view was enough for achieving visualization aims of our research.
Implementation of High Dynamic Range Image Processing Module as a Part of Lighting Simulation Software System
Authors: Birukov Еlissey Dmitrievich , Barladyan Boris Khaimovich , Denisov Evgeny Yurievich , Voloboy Alexey Gennadievich
Published: November 2022

This article describes approaches to implementation of software module for processing of high dynamic range images, as a part of lighting simulation and photorealistic computer graphics software. Lighting simulation software requiresits own image processing application because functionality of existing ones usually is not enough for lighting simulation analysis purposes. Processing and analysis of lighting simulation results usually requires the certain functionality that is absent in many image processing programs. The article describes an application developed by us which contains such functionality related to lighting simulation. At first, it is a dynamic range compression function for displaying images on computer monitors. Besides this, our application includes additional functionality for improving image quality, such as forced desaturation of brightest highlights on the images, and also image filtering for decreasing noise caused by stochastic methods used in simulation. For simulation result analysis it is required to transfer additional data (besides image itself) to the processing module. Such layer-based data structure of high dynamic range image files generated by lighting simulations software is described.
A Method for Visual Interpretation of Word2Vec Static Vector Space
Authors: Klyshinsky Eduard Stanislavovich , Ganeeva V.A.
Published: November 2022

Starting its creation, static vector word models was able solving the task of finding word analogies. This task finds a vector of parallel transition that reflects a word into another one changing a property of a former word. Since the task of finding word analogies lacks of precision, researchers are trying to investigate peculiarities of vector models and corresponding semantic spaces. In this paper, we introduce a new method of visual interpretation of such models. Our method uses thematic word collections, separation of semantic space into word groups using LSA method, and visualization of results using heatmap. We found out that vector semantic space can be interpreted not only on a local level, but on the global one as well. In the former case, the resulting grouping of words depends on the text collection used for the model training. Our method is applicable for finding several top layers because of exponential decreasing of the size of a group.
Visualization of the Application of the Discontinuous Shapeless Particle Method to the Problem of a Supersonic Flow Around a Wedge
Authors: Bogomolov S.V. , Kuvshinnikov Artyom Evgenyevich
Published: November 2022

A modification of the discontinuous shapeless particle method for two-dimensional problems of gas dynamics is studied. In the previous version of the method, the shape of the particles conditioned their interaction, which determined the quality of the final result. In order to get rid of the constant attachment to the shape and size of particles, along with the heights of particles (solution of the differential problem) and their positions in space, another third invariant is introduced. Namely, the area of the trapezium, the bases of which are the heights of the particles, and the segment connecting their centers is the lateral side. This invariant can be interpreted as a trace of the conservation of mass in the space between two particles whose masses also do not change (exact conservatism is a fundamental feature of particle methods). Numerical solutions obtained with the particle method and numerical solutions obtained with the OpenFOAM software are compared with the analytical solution in the L2 norm, using the example of the problem of a supersonic flow around a wedge, resulting in the formation of an oblique shock wave. The presented visualization of the results gives a clear picture of the features of the discontinuous particle method for problems whose solution has large gradients. This work is part of the research on the comparative verification of numerical methods in the space of defining parameters.
Exploring the Application of Convolutional Neural Networks for Photogrammetric Image Processing
Authors: Pinchukov V.V. , Poroykov A.Yu. , Shmatko E.V.
Published: November 2022

Close-range photogrammetry is widely used to measure the surface shape of various objects and its deformations. Usually, a stereo pair of images of the object under study, obtained from different angles by means of several digital video cameras, is used for this purpose. The surface shape is measured by triangulating a set of corresponding two-dimensional points from these images using a predetermined location of cameras relative to each other. Various algorithms are used to find these points. Several photogrammetric methods use cross-correlation for this purpose. This paper discusses the possibility of replacing the correlation algorithm with neural networks to determine offsets in the images. They allow to increase the calculation speed and the spatial resolution of the measurement results. To verify the possibility of their application, a series of experimental images of surfaces with different deformations were obtained. Computational experiments were performed to process these images using selected neural networks and a classical cross-correlation algorithm. The limitations on the use of the compared algorithms were determined and their error in restoring the three-dimensional shape of the surface was estimated. The physical simulation to verify the selected neural networks for image processing for the task of photogrammetry showed their performance and efficiency.
An Experimental Approach to Evaluating the Influence of Factors on the Cognitive Clarity of Graph Models
Authors: Isaev R.A. , Podvesovskii A.G.
Published: November 2022

The paper describes the author's new approach to understanding the idea of cognitive clarity of graph models. A conceptual scheme of structuring concepts related to cognitive clarity is given. According to this scheme, the following are distinguished: factors of cognitive clarity formation, cognitive clarity itself as a set of internal characteristics of the visual image of the model, as well as the effects of its presence manifested in the visual analysis of the model. The properties of the various components of this scheme are discussed, and it is concluded that it is the factors of cognitive clarity formation that are of the greatest interest, due to their constructiveness. Based on this, we propose an approach to the organization of experimental research aimed at studying and evaluating the influence of various factors on the cognitive clarity of graph models, by measuring various indicators that characterize the degree of manifestation of the effects of the presence of cognitive clarity. The idea of this approach is to form a hypothesis about the influence of some factors, followed by an experiment on the analyst's solution of a certain visual analysis problem involving these factors. As a result of recording the given indicators the achieved effect of changes in the level of cognitive clarity is evaluated and the nature of dependence or its absence is revealed, which allows accepting, rejecting or refining the initial hypothesis. A generalized algorithm for preparing and conducting an experiment in the framework of the described approach is proposed, the peculiarities of its individual stages are considered. An example of staging an experiment, the purpose of which is to study the dependence of indicators of efficiency of visual analysis of graph model on the volume of its visual image, is given. The conclusion discusses promising directions for research in this area.
Visualization of Water Flow by Multicolor Particle Image Velocimetry
Authors: Usmanova S.S. , Skornyakova N.M. , Belov S. Yu. , Sapronov M. V.
Published: November 2022

The work is devoted to the study of the water flow created by a pump in a cuvette by multicolor particle image velocimetry. Multicolor particle image velocimetry method is another modification of the particle image velocimetry. The main difference between this method and other modifications is that not one laser plane is used as probing radiation, but several with different wavelengths. Such modernization makes it possible to obtain velocity vector fields simultaneously in several laser planes. The paper describes an algorithm for carrying out measurements using multicolor particle image velocimetry and processing the recorded data. An experimental setup has been developed and a series of experiments has been carried out, as a result of which the structure of the flow under study has been visualized, vector velocity fields in three laser planes have been obtained.
TIDOAA — A Temporal Anti-aliasing Method with Immutable Dynamic Objects
Authors: Smirnov Lev Mikhailovich , Frolov Vladimir Alexandrovich , Galaktionov Vladimir Alexandrovich
Published: November 2022

The main purpose of this investigation is to use information from previous frames for partial synthesis of the new one. Algorithms utilizing already calculated information have become an integral part of many interactive applications in recent years, and using of such methods allows reduces the computational load on the GPU without significantly degrading the image quality. Despite its popularity, there are still serious unresolved issues that affect image quality in many scenarios. Especially acute are the issues of artifacts and frame distortions. This paper discuss ways of counting and using information from previous frames used in image rendering applications, and proposes a new algorithm which combine best traits of the previous ones.
Photogrammetric 3D Measurements and Visualization of Flow in Hydrodynamic Tunnel
Authors: Knyaz Vladimir Alexandrovich , Kniaz Vladimir Vladimirovich , Ippolitov Evgeny Viktorovich , Novikov Mikhail Mikhailovich , Emelyanov Anton V.
Published: November 2022

Flow visualization is an important mean for studying flow processes in aerodynamics and hydrodynamics. It allows obtaining qualitative valuable information about flow behaviour, that is needed for understanding of aerodynamic performance of an aircraft, especially in critical conditions. With growing advances in 3D optical measuring techniques, accurate 3D registration and measurements of fast developing processes became possible. The paper addresses the problem of accurate metric 3D reconstruction of flow in hydrodynamic tunnel that is necessary for studying aerodynamic process in aircraft icing conditions. It presents the techniques developed for optical measurement system calibration and for accurate flow 3D registration, and the results of laboratory flow 3D reconstruction and visualization. Experimental evaluation of the developed techniques in laboratory hydrodynamic tunnel demonstrated high accuracy of 3D measurements and readiness for applying in aircraft icing study.
Applying Stereo Animations to Autostereoscopic Monitors in Various Fields of Research
Authors: Andreev Sergey Valeryevich , Bondarev Alexander Evgenyevich , Bondareva Nikole Alexandrovna , Bondarenko A.V.
Published: November 2022

The construction of stereo images on autostereoscopic monitors, which do not require the viewer to use special glasses, is becoming more common in various fields of research. One of the important tasks is the construction of complex stereo images that combine the main image and the necessary accompanying elements in one frame. In this direction, a large number of studies have been carried out to organize the automatic construction of complex stereo images. This report considers the possibilities of implementing such a construction in various areas of human activity.
The use of OpenCV Library Tools to Isolate a Laser Line on the Surface of a Physical Model of a Heated Industrial Product
Authors: Nesterov A.V. , Lenkov M.V. , Romanov I.N.
Published: November 2022

This article discusses the problems of controlling the geometric parameters of heated products in industry using computer vision systems. It is concluded that it is necessary to use physical modeling to ensure convenient and safe testing of computer vision algorithms in laboratory conditions with further transfer of the results to industrial production. The description of the stand and the physical model of the heated product is given, which allow such modeling and corresponding studies to be carried out. Attention is focused on its structural features and the equipment used. The principle of operation of the model is described, based on the fact that the wavelength emitted by heated metal products varies depending on the heating temperature. The use of image processing methods of a physical model based on the OpenCV library is investigated. The functions of highlighting a local area in the image of a physical model and functions that implement methods of preprocessing the resulting area – the use of filters and contrast correction - are considered. Median and Gaussian filters are used. The functions of laser beam selection on the processed image are tested. As such functions, the functions implementing the methods of threshold and adaptive threshold image processing, the methods of Ocu, the edge detector Canny are considered.
Comparative Analysis of Stereo Vision Algorithms Implementation on Various Architectures
Authors: Efimov Aleksey Igorevich , Ustukov Dmitry Igorevich
Published: November 2022

A comparative analysis of the functionality of stereo vision algorithms on various hardware architectures has been carried out. The quantitative results of stereo vision algorithms implementation are presented, taking into account the specifics of the applied hardware base. The description of the original algorithm for calculating the depth map using the summed-area table is given. The complexity of the algorithm does not depend on the size of the search window. The article presents the content and results of the implementation of the stereo vision method on standard architecture computers, including multi-threaded implementation, a single-board computer and FPGA. The proposed results may be of interest in the design of vision systems for applied applications.
Application of Interpolation to Multispectral Array Photodetectors
Authors: Zhbanova V.L. , Yakimenko I.V.
Published: November 2022

The purpose of the research is to apply interpolation to the developed templates of two-layer matrices. Within the framework of this purpose, the following tasks were formulated: research and application of linear and adaptive interpolation methods. The simplest method interpolates each color on its own using some sort of linear interpolation algorithm. This is the fastest method and has the lowest image processing quality. Adaptive methods include various types of interpolation filters: pixel based depending on some heuristic or mathematical models of the local area of the photo around the current point. On the example of three multilayer matrices with cells for registration of the visible and near-IR ranges, the studied interpolation methods were used. Depending on the number of variables used in the equation, using linear interpolation, we get more accurate values when using four known values than when using two known neighboring cells, but the difference in error is small. The standard adaptive method uses 4 adjacent cells to find the desired color. This makes the equation more difficult to calculate. For the same cell, blue and red can only be found using two additional cells. This simplifies the equations by a factor of two, which means that the image processing speed also increases by a factor of 2. At the same time, the error in finding blue and red colors through two additional cells remains approximately the same as when finding green through 4 cells.
One of the Approaches to Creating an Area Quasi-optical Illuminator in the Millimeter Wavelength Range
Authors: Astakhov S.P. , Stroev N.N. , Yakimenko I.V. , Sulimsky E.S.
Published: November 2022

The article considers one of the approaches to the creation of an area quasi-optical illuminator of technical vision systems in the millimeter wavelength range. Along with the widely used X-ray radiation, millimeter-wave radiation, which represents its safer alternative in terms of exposure to living organisms, is promising for studying the internal structures of objects, searching for inhomogeneities and hidden defects of various structures. The approach of forming a radiation pattern in the near zone with parameters allowing to configure uniform illumination of a given area is presented. An original quasi-optical system has been developed that makes it possible to form a matrix camera adapted to the field of view, having a sensitive (active) rectangular surface, the configuration of the radiation diagram of the illuminator of the millimeter-range vision system using a quasi-optical system placed in the opening of a conical horn radiator, and thereby providing an increase in the efficiency of the emitted electromagnetic energy by the matrix camera. The results of simulation modeling and experimental study of the illuminator implemented using a quasi-optical system are presented. Based on the results of the work, ways to improve the characteristics of the obtained areal quasi-optical illuminator are formulated.
Applying the Generalized Compass Operator for Image Dominant Orientation Estimation
Authors: Kislitsyna Tatyana Sergeevna , Kholopov Ivan Sergeevich
Published: November 2022

Evaluation of the orientation of objects on frames from digital cameras is one of the problems of intelligent image analysis and processing. In this paper, we focus on the two-stage algorithm for image dominant orientation using first rough estimation of orientation angle through principal component analysis of gradient covariance matrix and second more accurate orientation estimation using the generalized compass operator. We compared two types masks of compass operator – Prewitt-like and extended Prewitt-like – for orientation estimation task. We demonstrated that for extended Prewitt-like mask with a size of 5?5 pixels using the generalized compass operator provides an estimation error of the dominant direction no more than 1° compared with methods, based on principal component analysis technique.
Development of Software for the Orientation System of a Mobile Robotic System in Space Based on Stereo Vision
Authors: Yaroslavtseva A.I.
Published: November 2022

Stereovision algorithms may be of great interest for the design of computer vision systems for autonomous mobile objects. The article presents the content and results of the stereo vision method implementation on a single-board computer. It is worth noting that for many mobile systems, energy efficiency, size, and cost will be more important than performance. As a result of the work, a software shell was deployed to implement the stereovision algorithm on a Raspberry Pi single-board computer running the Linux operating system, as well as a comparison of the performance of singleboard computers with various technical characteristics. The proposed results may be of interest in the design of vision systems for applied applications.
Compensation of IR-sensor Fixed Pattern Noise during Point Object Magnitude Recovering
Authors: Bekhtin Yury Stanislavovich , Filatov Yury Anatolievich , Ilyin Alexey A.
Published: November 2022

The paper is devoted to describing a principally new method of recovering pulse magnitude which is the reaction of infrared (IR) scanning linear sensor on strobe light spots from point objects. Instead of traditional matching filtering where it is impossible to take into consideration deviations of the pulse magnitude and form depending strongly on a random spot position relatively photosensitive elements, fixed pattern noise (FPN) of sensitivity and FPN of dark current, the suggested method is almost invariant to FPN. The method uses the digital pulse stabilizer based on so-called probabilistic relay. The experimental results have shown that the suggested methods allows not only recovering both magnitude and form of the pulse sequence with good accuracy but leads to improving the quality of the formed image because the inverse coefficients of the stabilizer multiplier can be used for “on fly” IR-sensor calibration.
Augmenting Histological Images with Adversarial Attacks
Authors: Lockshin Nikita Djeffrievich , Khvostikov Alexander Vladimirovich , Krylov Andrey Serdjevich
Published: November 2022

Neural networks have shown to be vulnerable against adversarial attacks - images with carefully crafted adversarial noise that is imperceptible to the human eye. In medical imaging tasks this can be a major threat for making predictions based on deep neural network solutions. In this paper we propose a pipeline for augmenting a small histological image dataset using State-of-the-Art data generation methods and demonstrate an increase in accuracy of a neural classifier trained on the augmented dataset when faced with adversarial images. When trained on the non-augmented dataset, the neural network achieves an accuracy of 55.24 on the test set with added adversarial noise, and an accuracy of 97.40 on the same test set when trained on the augmented dataset.
Semi-automatic Algorithm for Lumen Segmentation in Histological Images
Authors: Pochernina Olga Leonidovna , Khvostikov Alexander Vladimirovich , Krylov Andrey Serdjevich
Published: November 2022

In this paper we focus on a problem of lumen segmentation in histological images. A large number of annotated images are necessary for the development of diagnostic algorithms that can help to detect changes, such as lumen serration, indicating really serious health problems like cancer. We propose a semi-automatic interactive segmentation algorithm to accelerate the process of manual image annotation. The core of our annotation approach is a classical graph-cut algorithm that uses manually selected parameters. The user annotates an image with two types of scribbles corresponding to the gland lumen structure and the non-lumen area. After that, the model annotates all unlabeled pixels, providing the user with a fully annotated image based on the scribbled input data. The user can interact with the annotation algorithm and add new scribbles to adjust the result. The algorithm allows to reduce the annotation time of a typical histological image by 10 times for the PATH-DT-MSU dataset that can potentially seriously increase the number of fully annotated histological images.
Digital Analysis and Processing of 3D Reconstructions of Human Canine Teeth
Authors: Gaboutchian Armen Vardgesovich , Knyaz Vladimir Alexandrovich , Vasilyev Sergey Vladimirovich , Maximov Anatoly Alexandrovich , Korost Dmitri Vyacheslavovich , Stepanov Nikita Valerievich , Petrosyan Gohar Razmikovna , Apresyan Samvel Vladislavovich
Published: November 2022

Today micro-focus tomographic scanning methods are widely used in anthropological and palaeoanthropological research. Facilitating application of non-destructive study techniques, it provides essential, detailed and accurate data in terms of dental morphology. These features become of particular importance in studies of unique findings, such as presented in this paper Upper Palaeolithic Sunghirian samples. A range of techniques are applied to study 3D reconstructions of teeth; some of them are taken directly from traditional methods applied to physical objects, others developed on the bases provided by of digital techniques of image processing and analysis. However the majority of research techniques, especially those based on measurements, require appropriate orientation of the teeth being studied. In this regard it should be noted that human teeth have, different morphology which depends to a great extent on their position in arches; in addition teeth are composed of different tissues. Hence these determining factors influence variety of approaches to image processing. The current paper presents fully automated algorithm for orientation of canines, or more specifically, their coronal part composed of enamel. This provides data for 2D and 3D morphological studies usually related to evolutionary aspects or sexual dimorphism.
Optimal Input Scale Transformation Search for Deep Classification Neural Networks
Authors: Penkin Maksim Alexandrovich , Khvostikov Alexander Vladimirovich , Krylov Andrey Serdjevich
Published: November 2022

The paper deals with problem of optimal input scale search for deep classification neural networks. It is shown that state-of-the-art deep neural networks are not stable to input image scale, leading to quality degradation. The paper demonstrates relevance of the topic on classical image classification DL-pipeline. Unlike previous researchers, who aim to build entire complex invariant neural nets, we claim that computing optimal input transformations (e.g. scale) is a more perspective way for successful neural networks real-life applications. Thus, a new scale search algorithm for DL image classification is proposed in the paper, based on empirical hierarchical analysis of activation values.
Fractional Fourier Transform Phase for Image Matching
Authors: Protsenko Mariia Alexandrovna , Pavelyeva Elena Alexandrovna
Published: November 2022

Fractional Fourier transform is the generalization of the Fourier transform. In this article the synthesis of phase and magnitude of fractional Fourier transform is demonstrated. The influence of phase and magnitude on the synthesis results is shown. The fractional phase correlation function using fractional Fourier transform is calculated, and it is used for image matching. The use of fractional phase correlation can achieve better results compared to the use of the classical phase correlation. The comparison between phase correlation and fractional phase correlation for biometric iris images is given. The selection of optimal parameter for fractional phase correlation is proposed.