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EN
The paper is concerned with practical studies of illuminator role in the process of acquisition of spatial information with use of laser photography device. The laser photography device working according to the time-spatial framing method needs both acquisition and illumination process to happen in a very short-time. Fulfillment of both conditions is necessary for proper operation of this device. Using a specialized laser illuminator determines the growth of information potential of the laser photography device and allows reducing parasitic impact of daylight. The presented solution not only improves typical vision systems parameters but it introduces new quality for imaging devices.
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Laser photography device is an imaging device developed in the Institute of Optoelectronics, Military University of Technology and it is an example of modern image acquisition device. The laser photography device allows to define a 3D observation scene thanks to short-time scene illumination and image acquisition method. This device works according to time-spatial framing method. In the paper, basics of time-spatial framing method are explained. Special attention is given to time parameters of device and their influence to spatial parameters of registered images. In this paper the laser photography device and results of chosen experiments are presented and described. Experimental results presented in the paper show the potential and possibilities of using the laser photography device as a camera for observation and measurement applications.
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Modern cameras working in various spectral bands can be successfully applied in many areas of our lives. Observational capabilities of modern cameras are widely utilized in the area of public security systems while measurement functionalities of cameras are the domain of Machine Vision Systems used mainly in industry applications. The development of vision techniques and data processing methods changed the perception of vision systems as a multifunction, observation and measurement systems. Laser photography device, developed in the Institute of Optoelectronics, Military University of Technology is an example of such imaging device. One of properties of time-spatial framing method is the ability to perform complex spatial analysis of observed scene thanks to proper control of acquisition parameters and metadata processing. This property can be very useful especially in real-time spatial and geographic information systems. The paper presents theoretical applications of time-spatial framing method and first experimental results.
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Metadata in a LPS

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This paper is concerned with the use of metadata in a laser photography system. Metadata are all the data registered by additional sensors in the laser photography system. The paper is concerned with a problem of how to efficiently manage and use system metadata. The solution of using a general image metadata structure for every information unit is proposed. Various aspects of using additional data for proper image interpretation in the laser photography system are presented.
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A digital implementation of the Fourier holography scheme with identical reference and signal beams is considered. Investigations of the properties of this scheme were reported on in a number of papers. At the same time a concept of virtual optics is widely used in data encryption and data processing, whereas digital implementation of the Fourier holography scheme may be provided using not only discrete Fourier transform. Another discrete digital transform may be used as soon as it has several properties similar to the Fourier transform. The Walsh transform is the subject to consider in this work. A comparison of digital Fourier and Walsh versions of the named holographic scheme is conducted by means of their associative properties. Considered is the retrieving of information stored in the hologram using parts of different amounts of the original data. Comparison is provided with the two types of data stored: a raster image representing visual information and an image representing a set of data bits. Comparable parameters are the mean image contrast for visual data image and the bit detection accuracy for a set of data bits.
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Fractal Features of Specific Emitter Identification

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This article presents the issues connected with emitter sources identification with low distinctive primary features of a signal. It is a specific type of identification called specific emitter identification, which distinguishes different copies of the same type of emitter. The term of specific emitter identification was presented on the basis of fractal features received from the transformation of measurement data sets. The use of linear regression and Lagrange polynomial interpolation resulted in the estimation of measurement function. The method analysing properties of measurement function which was suggested by the authors caused the extraction of two additional distinctive features. The features above extended the vector of basic radar signals' parameters. The extended vector of radar signals' features made it possible to identify the copy of emitter source.
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Palm Vein Authentication and Verification System

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In this work, both hardware and software of a palm vein capture system have been designed and a prototype is produced. By using this system, a genuine database was created with age and gender information of volunteered test subjects. Widely used pre-processing, acquisition of feature vectors, and classification methods were tested on the database and results are compared with speed versus accuracy. All the modules used in hardware and software were determined as open source. Python has been chosen as a software module programming on a single board computer with Linux kernel. As a result, an appropriately running system has been built with both secure software and hardware interfaces having maximum accuracy at 95.33% while specificity is at 100%.
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Measurement Stand for TeraEYE Inspection

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Image fusion can be used as one of imaging methods. Connection of images acquired using different acquisition methods can deliver information invisible for traditional one imaging technique. Visible and thermal images connected in one image give information about shapes and temperature map of objects seen by cameras. If we connect stereoscopic visible image and thermal image we will have three-dimensional object model covered with temperature map. Dividing three-dimensional objects on elementary surfaces we can model this object energetically. Energetic modeling of measurement scene allows verifying measurement data acquired from devices working in terahertz frequency range. This method requires many measurement scene parameters to be registered. Some of these parameters can be used in a hybrid modelling process.
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Data Fusion in Application of Image Information

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This paper presents a new look at meaning of metadata in applications using image information. Information potential of images is closely associated with the access to such data as internal and external orientation. It is also essential that advanced vision systems are characterized by individual sets of metadata like e.g. range-gated imaging technology. Linking data mentioned above offers synergetic effects. The camera range-gated imaging is getting functionalities characteristic of the radar and scanner 3D. Technology of augmented reality in connecting with the database offers the functionality of the autonomous guide to real world. Possible functionalities are of course a lot and they depend on the equipment configuration of applied sensor sets. Expressed deliberations about data fusion in vision information systems are based on research activity. Expressed issues concerning modeling, equipment configurations and model results of examinations, point on the great information potential available in advanced vision systems.
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Elements of Augmented Reality for Vision Systems

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The purpose of this article is a discussion about the ongoing research at the Institute of Optoelectronics, Military University of Technology. The aim of the research is obtaining the introduction augmented reality elements in vision systems. Technology of augmented reality in connecting with applied sensor sets can strengthen and expand our sensory modalities. The process of data acquisition and processing can be implemented using variable technologies, appropriate for application. At the conclusion we briefly presented two applications currently under tests.
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A Quantum Key as the Fiber Optic Security Sensor

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The paper describes the methodology of identifying an interference in the optical fiber. The paper presents the technology widely known as quantum key distribution. The quantum key distribution is based on the technique of constant comparison of quantum characteristics of the input light source and its characteristics at the end of the fiber optic. Methodology of presented work includes the evaluation of the functional objectives through the constructive assumptions for the laboratory models development. This paper presents the model of a system based on the comparison of polarization states of light quanta using two asymmetric Mach-Zender interferometers as transmitting and receiving systems to enable compensation of polarization state changes at the input and output of the fiber optics sensing cable. Continuous monitoring of the state of the reference signal, the specific changes of natural or ambient effects on the fiber will attempt to identify interference in the optical waveguide as a change of the polarization of the quantum states of the light. The authors indicate the possibility of using such fiber optic sensor as a security sensor to protect the extensive critical infrastructure facilities. In this article the future research conception of using compressed sensing algorithms for data compression in quantum key distribution systems is presented.
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The paper presents the optical sensor which is built for EyeTracker operating in car harsh environment. The sensor is based on USB high speed video infrared camera. Additional hardware was designed for control and emission of infrared light as well. The designed hardware and software of the sensor are described in the paper. Some results of work, including video processing, are also presented.
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Automatic methods are a convenient solution to extract buildings from remote sensing images. In this paper, we propose an unsupervised method to extract buildings by means of the Gabor filters and morphological operators. Our proposed method starts from a set of the Gabor filter parameters which is selected empirically to generate a two-dimensional impulse response. The convolution of the impulse response with the image of interest enhances the buildings and attenuates the background. Moreover, morphological operators are applied to further refine the resulting class of interest. The developed algorithm is applied on many remotely sensed images; the obtained results are highly satisfactory and promising.
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The aim of the paper is to discuss research conducted at the Military University of Technology as well as the Military Institute of Aviation Medicine. The essence of the research is to develop a pattern recognition algorithm for the analysis of data received from an eye tracker sensor. Data analysis can be done using computer vision algorithms. In the article the state of the art pattern recognition algorithms were presented. Particular attention was paid to the possibilities and limitations of their use. The main part of the paper is the presentation of the author's pattern recognition algorithm. In the paper we have also shown the results obtained by other techniques of image processing, which are frequently used to determine the position of the pupil of the eye on the image.
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The following article describes research on possibility of using pattern recognition algorithms in the optical measurement system for estimation of the blood chamber volume in the Polish Ventricular Assist Device (POLVAD). The optical system is being developed at the Department of Optoelectronics, Silesian University of Technology, Poland. Data analysis methods include a feature subset selection algorithm involving principal components analysis and objective function as quality criterion. The analysis takes into account 17 patterns reflecting particular volumes. The k-nearest neighbours method is used as pattern classifier. The pattern recognition system was initially designed for an array of gas sensors and this paper describes its further development.
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Meibomian gland dysfunction is one of the most common eye disorders observed in clinical practice. It applies to almost 50% of the population, especially people using contact lenses. It is believed that meibomian gland dysfunction is the most common cause of abnormal stability and integrity of the tear film. Despite this, there is no commercially available equipment for the diagnosis. The article proposes the construction of an optical sensor and a computer system for the rapid, non-invasive diagnosis of meibomian gland dysfunction. The designed hardware and software as well as preliminary results of clinical research are also described.
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