A new concept of targets recognition is presented which allow the computer resources redistribution and the computing processes reorganization depending on the characteristics of the targets. A target’s image complexity matrix is described. The necessary number of the target’s image pixels was determined dependent on the complexity matrix. The general purpose adaptive systems with fixed structure and reconfigurable architecture are described. The specialized opticalelectronic correlation multiprocessor functional distributed system is presented. The results of the investigation of the elaborated targets recognition systems are described.
In the article there are presented the mathematical and structural descriptions of the basic model of the optical
correlator (BMOC), of the correlator using the matrixes of the lasers and filters (CMLF). In order to decrease
the processing time in the correlators it is proposed to use the concept of the distribution of the operations of
the targets detection and localization and to realize there in the different channels. At the stage of the targets
detection it was proposed to use the filters generating the codified correlation functions consisting of a binary
optical code which is analyzing in parallel with a high speed. There were elaborated new kinds of the
correlators - with distributed targets detection and localization. There were given the analyses of the time
expenditures and reliability in the different kinds of the correlators.
It is described a new image complexity informative feature, based on the input image Fourier
spectrum calculation. There are presented the results of the experimental estimation of the proposed
image complexity matrix. There are presented the results of the investigation of the influence of the
image complexity on the required image resolution and of the influence of the image resolution and
complexity on the correlation recognition.
It is proposed an image complexity matrix (IC), based on the analysis of the Fourier spectrum of the
input image. It is described the method of IC calculation. It was carried out the determination of the
necessary number of the image's pixels dependent on the image complexity. It is presented the
optical - electronic processor for IC determination. It is analyzed the structure of the optical
electronic computer system for pattern and target recognition.
This work contains the results of the experiments on the restoration of the defective images
proceeded in a matrix and a vector form with the help of the feed forward neural network.
Sometimes it is convenient to represent an image as a vector rather than as a matrix. So the
target of this work is to show experimentally what kind of input provides a better restoration,
judging from the Euclid's distance of the output of a trained network. This work also shows the
differences between processing different types of image presentation of the neuron network.
Making a comparative analysis of a matrix and a vector form of presenting the images which are
proceeded to a feed forward network allows stating some specific characteristics of a network.
These characteristics include the optimal architecture of a network, the number of layers, the
number of neurons in each layer and the time of an image restoration. Taking into account the
network's characteristics and the most important factor - the Euclid's distance, are drawn
conclusions that concern what is the best way of representing images that we want to restore
using a feed forward network.
It is analyzed the important and actual problem of the defective images of scenes restoration. The proposed
approach provides restoration of scenes by a system on the basis of human intelligence phenomena reproduction
used for restoration-recognition of images. The cognitive models of the restoration process are elaborated. The
models are realized by the intellectual processors constructed on the base of neural networks and associative
memory using neural network simulator NNToolbox from MATLAB 7.0. The models provides restoration and
semantic designing of images of scenes under defective images of the separate objects.
There are presented the results of investigation of the algorithms of invariant face recognition of masked persons. There
are described 3 algorithms based on Image Moments Features, Principal Component Analyses algorithm and
Correlation algorithm. It is presented the description of the elaborated software for PC based face recognition, created
in Borland C++ Builder environment. There are presented the data of the face recognition in conditions of masking,
change of the rotation, scale of the images.
A method of the recognition reliability estimation in the optical pattern recognition systems (OPRS) is
described, based on of the similarity measures differences (SMD). It was theoretically justified and
experimentally confirmed a hypothesis about the distribution law of the SMD. There were calculated the
reliabilities of the correct objects recognition at single and coded correlation responses in OPRS of invariant
and normalized images processing.
This paper deals with the problem of intellectual restoration of images. It is suggested to represent various objects and
stages as objects of the first and second orders. Representation of dominant object as second order object reveals its new
properties, that is an opportunity to control its own parameters. Complex representation of dominant object as second-class
object of the first and second types allows to eliminate defects of its own image, as well as defects of image of
subordinated object.
In the article it is presented a PC based system for persons' identification and verification on the basis of face correlation recognition. There are described the structure and the functions, the
software, the interfaces, the options of image processing. There are presented the investigation results of the influence of the noise, rotation and scale of the input images on the identification
process. There are calculated the data concerning the recognition time for the images of different resolution. In order to increase the system's productivity it is proposed to use an optical-electronic
system.
We present a new class of optical-electronic reconfigurable image processing systems, controlled by the parameters of the input image. The systems use multiprocessors and are distributed. We describe two different optical processors, each performs the Fourier transform and correlation with an adaptive filter or with a fixed set of filters.
It is proposed a new optical electronic approach for effective, simple and non expensive testing of the materials. An optical correlator is used for high speed features extraction, which characterize the distribution of the informational important elements in the crystallographic image. The digital “portrait” of the analyzed material is constructed which is compared with the set of the standard “portraits” on the base of which the level of the quality of the material is determined. The method permits to automate the process of the crystallographic images analyses and to increase the reliability of the results.
There are presented the results of the investigations of the fingerprints’ images correlation recognition in conditions of different distortions - scale, angular orientation change, image’s surface reducing, noises’ influence. There are examined possibilities of the persons’ identification and their verification. There are proposed and investigated the method of the fingerprints’ semi-spectrums recognition and the method of the fingerprints’ space-dependent recognition. There are presented the structures of the special purpose mono-channel and multi-channel optical-electronic systems and are described computing processes in the systems at the realization of the different fingerprints recognition algorithms: “FSR-1”, “FSR-2”, “FSDR-1”, “FSDR-2”, “FICR”. Also, there are presented the results of systems investigations: fingerprints time recognition, systems productivity at the fingerprints comparison step, systems prices.
The field of researches is connected with problems of restoration of images on the incomplete information of objects, which are represented in the digital image form. Questions of application of artificial intelligence systems for image restoration are considered.
The theory of designing the optical-electronic image processing computer systems has been presented. A model of parallel image processing system has been considered, that is based on the principle of function decomposition. A structure model of computer system has been examined, that is a conveyor of parallel processors. The implementation possibilities of different image processing operations by optical and electronic computer means have been analyzed. Evaluation of time outlay in the system, while processing an image or a series of them has been made. There have been exposed the dependence of image processing time from conveyor length change and the correlation of optical and electronic devices. The designing method of image processing systems in static mode has been described. The results of investigations of the influence of the median square deviation, of the processing time in the modules on the throughput capacity of the system under the different electronic and optical modules quantity are presented. The recommendations of increasing the system’s throughput capacity are formulated. On the bases to these recommendations, the system design method of image processing in the dynamic mode is elaborated.
The new image complexity informative feature is proposed. The experimental estimation of the image complexity is carried out. There are elaborated two optical-electronic processors for image complexity calculation. The determination of the necessary number of the image's digitization elements depending the image complexity was carried out. The accuracy of the image complexity feature calculation was made.
There are presented the results of the investigations of the fingerprints' images correlation recognition in conditions of different distortions -- scale, angular orientation change, image's surface reducing, noises' influence. There are examined possibilities of the person's identification and their verification. There are proposed and investigated the method of the fingerprints' semi-spectrums recognition and the method of the fingerprints' space-dependent recognition.
KEYWORDS: Image processing, Computing systems, Signal processing, Pattern recognition, Digital signal processing, Control systems, Image segmentation, Telecommunications, Digital image processing, Image analysis
The new methods of invariant pattern recognition (IPR), based on the effective calculation of image moment features are presented. It is described the special purpose multiprocessor computer system, which realizes the proposed methods of IPR. The system is reconfigurable, with the architecture controlled by parameters of the input images.
There are presented the structures of the special purpose mono-channel and multi-channel optical-electronic systems and are described computing processes in the systems at the realization of the different fingerprints recognition algorithms: "FSR-1," "FSR-2," "FSDR-1," "FSDR-2," "FICR." Also, there are presented the results of systems investigations: fingerprints time recognition, systems productivity at the fingerprints comparison step, systems prices.
The theory of designing the optical-electronic image processing computer systems has been presented. A model of parallel image processing system has been considered, that is based on the principle of function decomposition. The implementation possibilities of different image processing operations with the help of optical and electronic computer means have been analyzed. A structure model of computer system has been examined, that is a conveyor of parallel computer devices. The evaluation of time outlay in the system, while processing an image or a series of them has been made. The differences of time outlay from conveyor length change and the correlation of optical and electronic devices and processing time in them have been exposed. The designing method of image processing systems in static made has been elaborated. There are presented the results of investigations of the influence of the median square deviation, the influence of time of the processing in the modules on the throughput capacity of the system under the different electronic and optical modules quantity. According to the results of investigations the recommendations of increasing the system's throughput the capacity are formulated. On the basis of these recommendations, the system design method of image processing in the dynamic mode is elaborated.
Are presented the results of the modeling of the optical correlator. The efficiency of correlation functions calculation algorithms on the basis of amplitude-phase and phase-holographic filters for contour, whole objects' images as well as their Fourier spectrum modules have been investigated. On the bases of the obtained results can be proposed new methods of information processing.
KEYWORDS: Image processing, Computing systems, Signal processing, Control systems, Process control, Correlation function, Systems modeling, Image analysis, Telecommunications, Digital image processing
Are presented the results of elaboration and investigation of the new class of the optical-electronic reconfigurable image processing computing systems (IPCS), based on the conception of the computing means with the architecture, controlled by the parameters of the input images. The systems are multiprocessor and refer to the class of functional-distributed. There is given a description of the basis model and 6 types of IPCS, based on usage of different optical processor, control computer. There are examined methods of computing processes organization in the system, presented results of the time expenditures. Comparative analysis of systems is given.
The new class of computer systems is presented, the architecture of which is controlled by parameters of the input images and based on usage of the adaptive moment image features (MIF) statistical analysis. Main types of MIF, as well as opportunity of their formation are described.
The problems of investigation and calculations results reliability (CRR) evaluation in holographic computing systems are considered. The analysis of the existing approaches to estimation of CRR has been overtaken. A new method of CRR is proposed. The evaluation of CRR in the systems with single and coded correlation responses regarding processing of the images and the images Fourier spectrum has been performed. The simulation results are submitted.
KEYWORDS: Image processing, Computing systems, Computer architecture, Image analysis, Data processing, Brain-machine interfaces, Signal processing, Statistical analysis, Astatine, Control systems
A new concept of working out computer means, with the architecture controlled by the parameters of the images (CPI) is being suggested. The methods and processor structures of image parameters determination are presented. The architectures of general purpose multiprocessor computer systems CPI with fixed and reconfigurable structures were elaborated and investigated. The analytical estimation of the image processing time depending on the image parameters, characteristics of the processor conveyor and the image memory modules are presented. The methods of the system organization, which optimize the number of processors, are proposed.
A new kind of the image representation - logarithmic hord transformation of the images is suggested. A structures of an optical-electronic processor, performing operation of LHTI and of an image processing computer system are developed. The analytical estimation of time expenditures in the system is evaluated.
New architectures of image processing computer systems, based on the algorithms of Fourier- descriptive analysis have been developed. A new computing process organization method on the basis of Fourier-descriptive image features has been proposed. The structures of two problem-oriented optical electronic computer systems have been developed. The estimation of time expenditures during identification step and total time expenditures in systems have been carried out.
The theory of designing optical-electronic image processing computer systems has been presented. A model of parallel image processing systems has been considered, based on the principle of work up function decomposition. The implementation possibilities of different image processing operations with the help of optical and electronic computer means have been analyzed. A structure model of a computer system has beem examined, that is a conveyor of parallel computer devices. Evaluation of time outlay in the system, while working up an image or a series of them has been made. The differences of time outlay from conveyor length change and the correlation of optical and electronic devices and processing time has been examined. The designing method of image processing in static mode has been represented.
A new approach to work out the computing means, the architecture of which depends on the complexity of input images, is being suggested. The evaluation of the necessary number of images digitization elements to be input and processed has been given and the possibility of operative estimation of image parameters has been considered. The adaptive cellular matrix computer system has been developed and researched.
The influence is analyzed of the angular orientation of images on the signal and noise distribution in the correlation fields of holographic recognition systems invariable with change of scale and aspect of the objects. Models of the signal and noise are built, and the signal-to- noise ratio is estimated as a function of image orientation and diffraction efficiency of the different holograms.
A new method of image coordinates transformation is suggested, it is based on the preliminary complexity calculation of transformed images, extraction and transformation only of coordinates highly informative part. The ways of realization of the proposed method using different computer means are being considered. The structure of optical-electronic system, that combines algorithmic flexibility of an ordinary computer and high speed of images preprocessing with the help of optical means, is being suggested.
The problem of working out and research of the high efficient special-purpose optical- electronic computer system for invariant pattern recognition are being considered. The computing processes organization method has been suggested, being the basis for the development and technical realization of the reconfigurable multiprocessor optical-electronic computer system. The evaluation of the system speed has been given.
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