Journal articles on the topic 'Optical information processing method'
To see the other types of publications on this topic, follow the link: Optical information processing method.
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the top 50 journal articles for your research on the topic 'Optical information processing method.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.
1
Furusawa, Akira. "Perspective on hybrid quantum information processing: a method for large-scale quantum information processing." Journal of Optics 19, no. 7 (June 6, 2017): 070401. http://dx.doi.org/10.1088/2040-8986/aa72fc.
Full text
2
Shao, Yong Xin, Xiao Ping Yang, Zhi Yong Wang, and Ya Juan Yang. "Fluorescence Information Processing Based on Wavelet De-Noising." Applied Mechanics and Materials 734 (February 2015): 56–63. http://dx.doi.org/10.4028/www.scientific.net/amm.734.56.
Full textAbstract:
<p>In this paper ,the method of the fluorescence lifetime (FL) in fluorescence optical fiber temperature sensor is used to measure the temperature. During the fluorescence information processing , because of existence of the system noise interference, measurement reliability of fluorescence lifetime has been greatly affected, thereby reducing the temperature measurement precision. This paper presents an improved wavelet threshold de-noising method to signal processing, which improves the signal-to-noise ratio and increases the measurement of fluorescence lifetime precision, reduce the error of temperature measurements at the same time. The experimental results demonstrate that this method is effective.</p>
3
Xie, Fu Zhen. "Real-Time Information Processing Method and its Application in Optical Target Tracking System." Applied Mechanics and Materials 536-537 (April 2014): 192–96. http://dx.doi.org/10.4028/www.scientific.net/amm.536-537.192.
Full textAbstract:
Optical information processing systems have been widely applied, this paper studies the calculation of the amount of a reduction in the use of genetic algorithms to increase the diversity of the sample algorithm to reduce problems caused by the sample dilution with a resampling method, combined with the finite field resampling, resampling constitute a finite field of genetic algorithms. We using surface to capture the dynamics of template update, to prevent inappropriate tracking results into the template set, pending the outcome of the tracking template is added to the first test for cover. Detect occlusion control template updates. Prevent tracking results of drift.
4
YAHALOMI, EREZ M. "All-optical devices based on three-wave mixing for logic and information processing." Laser and Particle Beams 19, no. 2 (April 2001): 215–18. http://dx.doi.org/10.1017/s0263034601192086.
Full textAbstract:
A method of creating all-optical devices for logic information processing is presented. The mechanism is based on virtual photon interaction in quantum field description, or dipole moment interaction in classical description. The device consists of two optical information bits channels and one optical bits channel of logic commands like AND, NOT, OR. A variety of logic operations can be achieved on one optical setup by polarization change of the logic bits which determines the logic commands. I present another application for the method as an information channels selector.
5
Idesawa, Masanori. "Acquisition of 3-D Optical Information." Journal of Robotics and Mechatronics 1, no. 4 (December 20, 1989): 255. http://dx.doi.org/10.20965/jrm.1989.p0255.
Full textAbstract:
In order for a machine to have the capacity to operate flexibly in a 3-D environment, it is indispensable for it to be equipped with space information acquisition capability, and tools for distance measurement are in turn indispensable for obtaining space information. Indeed distance measurement is basic and important not only for a robot, but also for science and technology in general. Many methods have been proposed for obtaining distance information, ranging from the mechanical contact type through optical and acoustic to electric and magnetic methods, and many are in practical use. Among them the optical method permits measurement of distance without contact and from a remote position, advantages which have led to it being widely applied. One of the most important principles for measuring distance is the triangulation principle. This permits determination of the position of an object from the distance between two observation points together with the angles in the triangle formed by these two points and a target point on the object. Based on this principle, the detection of one specific point in each of the two images obtained from two sets of image input equipment installed at two observation points permits determination of coordinate values in 3-D space. However, this extraction of the point in the second image corresponding to a specified point in the first image is a very difficult subject of study, and no universal method has been developed. To cope with this, active methods, which evade the problem by applying projection of laser light on the surface of an object to identify a bright point or bright line, are widely used. The special feature articles on obtaining 3-D optical information in this issue present some principles and new trial applications of distance acquisition methods for 3-D information, the optical method in particular. There are three reports on active method optical systems developed for robots. These include (1) a high speed measurement method applying space encoding which employs a liquid crystal lattice to project light in changing lattice patterns onto an object dynamically; (2) realization of high speed measurement through projecting and processing multiple light spots; (3) development of a visual sensor for disaster prevention use which can detect objects in flames and smoke utilizing projection of a CO2 gas laser. These are nearly at the level of operational use and are expected to become visual sensors for robots.
6
Gurevich, Аndrei V., and Tatyana S. Bernik. "HOLOGRAPHIC INTERFEROMETRY AS A NON-DESTRUCTIVE TESTING METHOD." Interexpo GEO-Siberia 7, no. 1 (July 8, 2020): 14–17. http://dx.doi.org/10.33764/2618-981x-2020-7-1-14-17.
Full textAbstract:
This article discusses the possibilities of holographic interferometry when used in various fields of activity, such as optical processing of received information, optical-electronic instrumentation, interferometry, laser technology, registration and control of fast processes, non-destructive testing of test objects.
7
Lee, Jun-Pyo, Chul-Young Cho, Jong-Soon Lee, Tae-Yeong Kim, and Cheol-Hee Kwon. "An Optimal Video Editing Method using Frame Information Pre-Processing." Journal of the Korea Society of Computer and Information 15, no. 7 (July 31, 2010): 27–32. http://dx.doi.org/10.9708/jksci.2010.15.7.027.
Full text
8
Kawamura, Minaru, Takuji Morimoto, Yoshiyuki Mori, Ryuichi Sawae, Kenichi Takarabe, Yoshinori Manmoto, and Toshio Sakata. "Effective error correction method for quantum information processing." International Journal of Quantum Chemistry 107, no. 15 (2007): 3067–70. http://dx.doi.org/10.1002/qua.21450.
Full text
9
Santoniy, V. I., Ya I. Lepikh, L. M. Budianskaya, and V. I. Yanko. "FORMATION OF THE OBJECT IDENTIFICATION ZONE WITH LASER INFORMATION-MEASURING SYSTEMS AT SHORT DISTANCES." Sensor Electronics and Microsystem Technologies 18, no. 4 (December 31, 2021): 43–52. http://dx.doi.org/10.18524/1815-7459.2021.4.248179.
Full textAbstract:
The optimization of the methods for the formation of the spatial-energy distribution of the probing radiation power and the processing the receiving signal by the locating laser information-measuring systems (LIMS), taking into account the spatial-temporal structure, is carried out, and the analysis of the existing methods of their processing is carried out too. An assessment of the integral criteria for the LIMS functioning when operating in conditions of interference has been made. The calculation of the parameters of the LIMS main links was carried out, taking into account the correlation between the resolution of the optical system and the capabilities of object detection, recognition and classification. A method was developed for the formation of the probing radiation density distribution and the receiving signal processing, taking into account its space-time structure, which made it possible to determine the optimal duration of the laser probe pulse. The determined duration makes it possible to eliminate errors in measuring the parameters of an object's movement under the influence of a combination of destabilizing factors and a lack of signal processing time, which will ensure the accuracy of the target detection and recognition.
10
Zhao, Lan, and Tao Zeng. "Target Recognition Application of Real-Time Optical Information Processing System." Applied Mechanics and Materials 536-537 (April 2014): 197–200. http://dx.doi.org/10.4028/www.scientific.net/amm.536-537.197.
Full textAbstract:
This paper focuses on the visual tracking algorithm in optical imaging surveillance and tracking system. The tracking particle filter framework deemed find sparse representation problem, can effectively overcome the visual tracking algorithm appears in noise, occlusion, background interference and complex situations such as illumination changes. Morphological methods using digital occlusion area is detected to determine whether the date is added to the template tracking results set, thereby updating the control template, to effectively prevent the drift tracking results.
11
Sytnik, O. "Optimal nonlinear fi ltering of stochastic processes in rescue radar." RADIOFIZIKA I ELEKTRONIKA 26, no. 3 (2021): 18–23. http://dx.doi.org/10.15407/rej2021.03.018.
Full textAbstract:
Subject and Purpose. Smoke, fog, avalanches, debris of collapsed structures and other optically opaque obstacles in both natural and man-made disasters make optical sensors useless for detecting victims. Electromagnetic waves of the decimeter range penetrate well almost all obstacles, reflect from the trapped people and return to the radar receiver. Due to the breathing and heartbeat, the human-reflected sounding signals get the Doppler phase modulation, which is an information signal. These information signals and their properties provide the subject matter for the present research with the aim to create optimal methods and algorithms of random event processing for the prompt location of survivors by rescuers. Method and Methodology. The method of stochastic analysis of the fluctuation Doppler spectra of reflected sounding signals shows that the information signals have properties of conditional Markov processes. Results. The problem of optimal nonlinear filtering of conditional Markov processes entering the radar signal processing unit has been examined closely. An optimal adaptive filter has been proposed to reduce the masking effect of interferences caused by non-stationary noises and sounding signal reflections from stationary objects. The optimality criterion is the minimum mean square error function whose current value is evaluated in real time during the filtering process as the statistics is accumulated. The filter coefficients are calculated by the recurrent, steepest descent algorithm. The real-time work is carried out through the use of fast Fourier transform algorithms. Conclusion. The structure of the optimal adaptive filter to be built into the radar signal processing unit has been developed. Real radar signals have shown that the optimal filtering during the signal processing in systems designed for detecting live people by their breathing and heartbeat facilitates the interpretation of the observed signals. Some spectra of real signals generated by human breathing and heartbeat are presented.
12
Dergachov, Konstantin, Leonid Krasnov, Vladislav Bilozerskyi, and Anatoly Zymovin. "Methods and algorithms for protecting information in optical text recognition systems." RADIOELECTRONIC AND COMPUTER SYSTEMS, no. 1 (February 23, 2022): 154–69. http://dx.doi.org/10.32620/reks.2022.1.12.
Full textAbstract:
The subject of the study. A concept of OCR systems performance improvement is proposed, which is achieved through the integrated use of special algorithms for preliminary processing of documents picture, an extended set of service functions, and advanced techniques for information protection. Study objectives: development of algorithms that compensate for the influence of the unfavorable points like imperfect lighting conditions overshooting, images geometric deformation, noises, etc., which corrupt the pictured text, on the efficiency of that text recognition. It is needed to provide for a series of service procedures that would ensure adequate data handling while viewing, converting, and storing in standard formats the results, and ensuring the possibility to exchange data in open communication networks. Additionally, it is necessary to ensure the information protection against unauthorized use at the stage of data processing and provide secretiveness of their transmission through the communication channels. Investigation methods and research results: developed and tested algorithms for preliminary picture data processing, namely, for the captured image geometry transformation, picture noise correction with different filters, image binarization when using the adaptive thresholds reduced the negative influence of irregular image portions illumination; in the software, the special services ensure the data processing ease and information protection are affected. In particular, the interactive procedure for text segmentation is proposed, which implies the possibility of anonymizing its fragments and contributes to collecting confidentiality for documents treated. The package for processing document shots contains the face detection algorithm bringing the identification of such information features; it can be used further in the task of face recognition. After the textual doc is recognized, the received data encryption is provided by generating a QR-code and the steganography methods can deliver the privacy of this information transmission. The algorithms' structures are described in detail and the stability of their work under various conditions is investigated. Focused on the case study, docs' text recognition software was developed with the usage of Tesseract version 4.0 optical character recognition program. The program named "HQ Scanner" is written in Python using the present resources of the OpenCV library. An original technique for evaluating the efficiency of algorithms using the criterion of the maximum probability of correct text recognition is implemented in the software. Conclusions. The study results can constitute the basis for developing advanced specialized software for easy-to-use commercial OCR systems.
13
Wang, Huai Wen, Hong Wei Ji, Hui Miao, and Wen Quan Shao. "Precision Analysis and Discussion on Marker Identification Method." Applied Mechanics and Materials 55-57 (May 2011): 322–26. http://dx.doi.org/10.4028/www.scientific.net/amm.55-57.322.
Full textAbstract:
A technique for non-contact optical measurement of in-plane displacements based on correlation analysis is presented. This approach can be used to identify the position of a marker before and after deformation of a specimen or plane test-object. Some mechanical parameters of materials and strains can be calculated using information from several markers’ displacements. The method is simpler than other optical techniques in experimental processing and can efficiently used to measure large deformations. The precision of marker identification method is analyzed. And some discussion on this method is also given.
14
Yu Belov, S. "Processing of two-dimensional velocity fields for reconstructing three-dimensional flow patterns." Journal of Physics: Conference Series 2127, no. 1 (November 1, 2021): 012031. http://dx.doi.org/10.1088/1742-6596/2127/1/012031.
Full textAbstract:
Abstract The paper is concerned with the obtaining three-dimensional velocity fields of a gas or liquid flow based on the available cross-sections of this flow. The descriptions of the main optical methods for studying flows are designed to construct a cross-section of the observed process, but it would be much more informative to obtain information in the visualization not in the cross-section of a volume, but in this volume itself. The paper deals with obtaining three-dimensional flow velocity fields using various approximation methods. The method of estimating the most suitable approximating function is also given. The determination of the optimal type of approximation for the reconstruction of the three-dimensional velocity field was tested on an artificially created vortex.
15
Machynia, Adam, Ziemowit Dworakowski, Kajetan Dziedziech, Paweł Zdziebko, Jarosław Konieczny, and Krzysztof Holak. "Operational Deflection Shapes Magnification and Visualization Using Optical-Flow-Based Image Processing." Sensors 21, no. 24 (December 14, 2021): 8351. http://dx.doi.org/10.3390/s21248351.
Full textAbstract:
Much information can be derived from operational deflection shapes of vibrating structures and the magnification of their motion. However, the acquisition of deflection shapes usually requires a manual definition of an object’s points of interest, while general motion magnification is computationally inefficient. We propose easy extraction of operational deflection shapes straight from vision data by analyzing and processing optical flow information from the video and then, based on these graphs, morphing source data to magnify the shape of deflection. We introduce several processing routines for automatic masking of the optical flow data and frame-wise information fusion. The method is tested based on data acquired both in numerical simulations and real-life experiments in which cantilever beams were subjected to excitation around their natural frequencies.
16
Filatov, Vladimir I., Alexander S. Nekrasov, Irina A. Rudzit, and Daria A. Kondrashova. "WEIGHTLESS PROCESSING OF QUANTIZED SIGNAL LOAD." T-Comm 15, no. 1 (2021): 48–51. http://dx.doi.org/10.36724/2072-8735-2021-15-1-48-51.
Full textAbstract:
Optimal methods for processing input information signals often involve operations, implementation of which is extremely difficult and significantly increases the requirements for automated information processing systems. However, the use of various approaches to solving this problem has led to the appearance of synthesized methods for processing a sequence of signals that allow solving the detection problem with the required quality without significant hardware complications. The article considers a method for weightless processing packets of input quantized signals, which allows us to evaluate the potential (limit) quality of information processing and quantify the amount of loss of this quality when excluding certain operations. The considered method is given with a reasonable structure of implemented devices in practice. A special feature of weightless signal processing is analysis of increasing unit density in a fixed interval of close positions, which gives information about the possible presence of an information signal. To identify this factor, two logical criteria are used, such as “m out of m” and “n out of m”, which will be described in this article.
17
Muzhichek, S. M., K. V. Obrosov, V. A. Safonov, and V. M. Lisitsyn. "METHOD FOR PREDICTING ZONES OF POSSIBLE OPTICAL CONTACTS WITH THE EARTH’S SURFACE WHEN FLYING ABOVE CLOUD COVER." Vestnik komp'iuternykh i informatsionnykh tekhnologii, no. 195 (September 2020): 13–17. http://dx.doi.org/10.14489/vkit.2020.09.pp.013-017.
Full textAbstract:
The effectiveness of monitoring the US (Underlying Surface) during its passive remote sensing in the optical wavelength range from an aircraft is estimated. It is supposed that the monitoring is carried out in the conditions of a Cumulus cloudiness which partially closes US. An on-board OES (Optical-Electronic System) has the ability to deviate from the vertical of a narrow field of view. By controlling the position of the field of view, the OES forms inclined optical paths. In the presence of gaps between the Cumulus clouds under the aircraft inclined optical paths provide the possibility of optical contact with fragments of US. The effectiveness of monitoring can be improved by application the adaptive control of the angles of narrow field of view of camera. Such control allows to get the image of US’s fragment, which are being seen at current time, by using the space between the clouds. Such control also allows to get images of all fragments of US including the fragments of US which can be under the clouds. It can be possible by using a priori information about zones of possible optical contacts with US. A priori information can be obtained by image processing. The images for processing are formed by wide-field camera.
18
Muzhichek, S. M., K. V. Obrosov, V. A. Safonov, and V. M. Lisitsyn. "METHOD FOR PREDICTING ZONES OF POSSIBLE OPTICAL CONTACTS WITH THE EARTH’S SURFACE WHEN FLYING ABOVE CLOUD COVER." Vestnik komp'iuternykh i informatsionnykh tekhnologii, no. 195 (September 2020): 13–17. http://dx.doi.org/10.14489/vkit.2020.09.pp.013-017.
Full textAbstract:
The effectiveness of monitoring the US (Underlying Surface) during its passive remote sensing in the optical wavelength range from an aircraft is estimated. It is supposed that the monitoring is carried out in the conditions of a Cumulus cloudiness which partially closes US. An on-board OES (Optical-Electronic System) has the ability to deviate from the vertical of a narrow field of view. By controlling the position of the field of view, the OES forms inclined optical paths. In the presence of gaps between the Cumulus clouds under the aircraft inclined optical paths provide the possibility of optical contact with fragments of US. The effectiveness of monitoring can be improved by application the adaptive control of the angles of narrow field of view of camera. Such control allows to get the image of US’s fragment, which are being seen at current time, by using the space between the clouds. Such control also allows to get images of all fragments of US including the fragments of US which can be under the clouds. It can be possible by using a priori information about zones of possible optical contacts with US. A priori information can be obtained by image processing. The images for processing are formed by wide-field camera.
19
KHETCHIKOV, D. M., B. B. PANKOV, S. N. BULICHEV, and A. V. MALKUTA. "A METHOD OF RADAR STATION ALIGNMENT BASED ON REFERENCE DATA OF THE INTERNATIONAL LASER LOCATION SERVICE." Fundamental and Applied Problems of Engineering and Technology 2 (2021): 178–82. http://dx.doi.org/10.33979/2073-7408-2021-346-2-178-182.
Full textAbstract:
The article describes the method of adjusting a ground-based radar station based on reference information received from the quantum-optical devices of the International laser location service and provides calculated relations for processing data of alignment measurements…
20
Han, Ruimei, Pei Liu, Han Wang, Leiku Yang, Hanwei Zhang, and Chao Ma. "An Improved Urban Mapping Strategy Based on Collaborative Processing of Optical and SAR Remotely Sensed Data." Mathematical Problems in Engineering 2017 (2017): 1–9. http://dx.doi.org/10.1155/2017/9361592.
Full textAbstract:
Potential of combining SAR and optical remotely sensed data for rapid urban mapping is highlight. Two groups of optical and SAR remotely sensed data are selected to evaluate the strategy. Outputs are verified and analyzed from 3 aspects. The single class and merged map accuracy are evaluated; the proposed method is compared with 2 mature algorithms; the selected classifiers are applied to 7 different fusion algorithms to make further comprehension. The outcomes illustrate the potential of synergic optical and SAR data for monitoring urbanization status and demonstrate that the proposed SAR/optical information synergy method improved the capabilities of urban mapping compared with separately using SAR and optical data. The results demonstrate that the proposed method can map built-up area, water body, and vegetation at accuracy of 99.31%, 91.92%, and 91.72%, respectively. These results are much better than when solo optical or SAR data was selected and better than classification results based on mature fusion methods. The main contributions of this article are as follows: the proposal of a rapid urban mapping strategy based on integration of optical and SAR data and the verifying and analysis of potential of synergic optical and SAR data for rapid urban mapping.
21
Zaitceva, A. Yu, Yu Ya Kislyakov, М. S. Mazing, and V. V. Davydov. "APPLICATION OF NON-INVASIVE OPTICAL TRAINABLE DIAGNOSTIC SYSTEM AND MATHEMATICAL METHODS OF PROCESSING MULTIDIMENSIONAL DATA TO ASSESS THE OXYGEN STATUS OF HUMAN TISSUES (SHORT DESCRIPTION)." NAUCHNOE PRIBOROSTROENIE 30, no. 4 (November 30, 2020): 113–18. http://dx.doi.org/10.18358/np-30-4-i113118.
Full textAbstract:
A non-invasive method for analyzing oxygen supply for human tissues using methods of mathematical processing of multidimensional data, which has an important diagnostic value, is proposed. As a result of experimental studies with the participation of 10 subjects using a non-invasive optical trainable diagnostic system, attempts were made to collect information in conventional units by means of multichannel optical analyzer of the visible spectral range. The obtained results of mathematical processing of experimental data show that the proposed technique is effective and can be used in practical medical and biological developments.
22
Lu, Qingchun, Yiqing Wang, and Xiangzhong Fang. "An Artifact Information Based Motion Vector Processing Method for Motion Compensated Frame Interpolation." Journal of Display Technology 10, no. 9 (September 2014): 775–84. http://dx.doi.org/10.1109/jdt.2014.2318086.
Full text
23
Jiyao, Xu, and Wang Yingjian. "Information-processing method of ground-based atmospheric remote sensing: the effective instrument function method." Applied Optics 34, no. 24 (August 20, 1995): 5453. http://dx.doi.org/10.1364/ao.34.005453.
Full text
24
Jiang, Shufeng, and Keqi Wang. "Image Processing and Splicing Method for 3D Optical Scanning Surface Reconstruction of Wood Grain." International Journal of Pattern Recognition and Artificial Intelligence 34, no. 08 (November 20, 2019): 2054021. http://dx.doi.org/10.1142/s021800142054021x.
Full textAbstract:
Based on environment compensation, scanning image processing technology was employed to investigate point cloud data and space matching method for wood grain. Collision avoidance recognition algorithm was used to collocate mark points, when remarkably reduced the error matching of distance coincidence mark points. The proposed method used marking of flag sample points based on weight to compensate for the marking points ambiguity of distinguishing information in scanning environment, and select the optimal path for the weighted results. The same splicing points in different images was identified, solving the problem of fuzzy splicing by distance matching. Experimental results and three-dimensional (3D) printing wood cross-section model reconstructed by surface fitting were compared. Results showed that the 3D scanning image mosaic of wood growth texture at the cross-section had no obvious stereo characteristics. The proposed method has improved the accuracy of surface mosaic in reverse scanning imaging for wood grain. This method can be applied to support the application needs of reverse surface reconstruction.
25
Kopenkov, V. N. "Combined usage of the optical and radar remote sensing data in territory monitoring tasks." Information Technology and Nanotechnology, no. 2391 (2019): 334–41. http://dx.doi.org/10.18287/1613-0073-2019-2391-334-341.
Full textAbstract:
At the present time, a lot of problems in a sphere of fundamental sciences as well as technical and applied tasks can be solved only with the use of satellite images, since their usage reduces material, financial and time costs significantly in comparison with traditional methods. One of the modern integrated approach remote sensing processing is to join the measurements obtained from the various sources, such as optical and radar sensors, allowing to achieve a gain in comparison with independent processing due to the extension of the information volume and the opportunities of data acquisition (weather conditions, spectral ranges, etc.). However, methods of digital processing and interpretation of radar data, as well as qualitative and proven methods and algorithms for joint processing of optical and radar satellite images, has not sufficiently been well developed yet. Therefore, the development of new methods and information technology of joint analysis and interpretation of optical and radar data which are a major issue of the current paper, are certainly relevant. The paper presents an information technology for joint processing of optical and radar satellite imagery, based on training the processing procedure based on the reference values of data from sensors of the one type (optical data), followed by applying to both data types: optical and SAR data.
26
Liu, Lin Zhi. "Study on Parameters Measurement System of Ball-End Cutter Based on Optical Vision Detection." Advanced Materials Research 538-541 (June 2012): 2109–12. http://dx.doi.org/10.4028/www.scientific.net/amr.538-541.2109.
Full textAbstract:
In manufacturing field, the geometric parameters measurement of tool is an essential process in manufacturing ball-end cutter. An optical visual inspection system of ball-end cutter parameters was studied through designing CCD camera, optical microscope, image grabbing card, visual light and 3D detection tables. Through the grabbing and processing image information of ball-end cutter, visual inspection method was applied to measure parameters of ball-end cutter. Some algorithms including the gray scale processing, median filtering, edge detection and least square fitting method of measured data were analyzed to develop image processing and tool detection software of ball-end cutter. The reliability and accuracy of this detection system were verified through the practical test.
27
Yan, Chenqi, and Mengchao Tan. "The Use of Artificial Intelligence-Based Optical Remote Sensing and Positioning Technology in Microelectronic Processing Technology." Wireless Communications and Mobile Computing 2021 (December 21, 2021): 1–10. http://dx.doi.org/10.1155/2021/8464612.
Full textAbstract:
The purpose is to make defect detection in microelectronic processing technology fast, accurate, reliable, and efficient. A new optical remote sensing-optical beam induced resistance change (ORS-OBIRCH) target recognition and location defect detection method is proposed based on an artificial intelligence algorithm, optical remote sensing (ORS), and optical beam induced resistance change (OBIRCH) location technology using deep convolutional neural network. This method integrates the characteristics of high resolution and rich details of the image obtained by ORS technology and combines the advantages of photosensitive temperature characteristics in OBIRCH positioning technology. It can be adopted to identify, capture, and locate the defects of microdevices in the process of microelectronic processing. Simulation results show that this method can quickly reduce the detection range and locate defects accurately and efficiently. The experimental results reveal that the ORS-OBIRCH target recognition defect location detection method can complete the dynamic synchronization of the IC detection system and obtain high-quality images by changing the laser beam irradiation cycle. Moreover, it can analyze and process the detection results to quickly, accurately, and efficiently locate the defect location. Unlike the traditional detection methods, the success rate of detection has been greatly improved, which is about 95.8%, an increase of nearly 40%; the detection time has been reduced by more than half, from 5.5 days to 1.9 days, and the improvement rate has reached more than 65%. In a word, this method has good practical application value in the field of microelectronic processing.
28
Parfiryev, A. V., O. V. Parfiryeva, and A. V. Dushkin. "Optimization of the algorithm of information analysis and processing in the optoelectronic system." Proceedings of Universities. Electronics 27, no. 1 (February 2022): 106–19. http://dx.doi.org/10.24151/1561-5405-2022-27-1-106-119.
Full textAbstract:
The accuracy of the coordinates of ground objects measured using optical instruments by unmanned aerial vehicles depends on many factors including: errors in measuring the angular coordinates of the optical system, the distance to the object, the presence of heterogeneous terrain, etc. Traditional use of optoelectronic systems functioning based on inertial sensors demonstrated their flaws, such as low accuracy at ground objects positioning for target designation to unmanned aerial vehicles due to declination angle and azimuth determination inaccuracy. In this work, a variant of optimizing the algorithm for analyzing and processing information in an optoelectronic system for determining the coordinates of ground objects from an unmanned aerial vehicle is presented. An algorithm and a method for determining geographical coordinates based on an electronic height matrix have been developed. An increase in the accuracy of calculating the coordinates of an object was achieved by minimizing the error of measuring the declination angle, azimuth on a ground object and inclined range. A description of a full-scale experiment with a car on the ground is given. Its essence was that according to several freeze frames obtained by the optoelectronic system of an unmanned aerial vehicle at a considerable distance with a large inclined range, the geographical coordinates of the car were determined in two ways (traditional and developed). With the help of the method proposed by the authors, the accuracy of determining coordinates has been increased several times. The developed algorithm and method for information processing make it possible to create a variety of hardware and software solutions for guidance and target designation systems of unmanned aerial vehicles.
29
Lisitsyn, V. M., G. G. Sebryakov, K. V. Obrosov, and V. A. Safonov. "METHOD FOR DETERMINING THE MISALIGNMENT OF OPTICAL-ELECTRONIC AND INERTIAL ORIENTATIONS HELICOPTER SYSTEMS." Vestnik komp'iuternykh i informatsionnykh tekhnologii, no. 201 (March 2021): 3–11. http://dx.doi.org/10.14489/vkit.2021.03.pp.003-011.
Full textAbstract:
A unique method for determining the misalignment of the orientation of the instrumental coordinate systems of different posts of the optical-electronic system of a helicopter with each other and with an inertial navigation system is proposed. The method does not require preflight preparation, and is based on processing video information streams generated by thermal imaging and television channels of the optical-electronic system, and using information from an inertial navigation system. The method involves the helicopter performing a special maneuver, which is a rotation of the helicopter at a low altitude. This maneuver can be automated. When the helicopter rotates, trajectories of characteristic points of the underlying surface and airfield infrastructure are formed on the images. In general, the trajectories of these points are hyperbolas, which are approximated by straight lines. The parameters of these straight lines are determined using the least squares method. The angle of inclination of straight lines in the screen coordinate system determines the position of the angular velocity vector in the instrument coordinate systems. Since all the posts of the optical-electronic system measure the same vector, it is possible to determine their mismatch in roll between themselves and with the inertial navigation system. Preliminary modeling showed high potentialities of the proposed method. The method can be considered as an integral part of a more general method for coordinating coordinate systems in roll, pitch and course based on processing video streams of optical-electronic systems. When the method is used in real conditions, the errors in estimating the angular misalignment of the optical-electronic and inertial systems of a helicopter can be in units of arc minutes.
30
Zhang, Lili, Tanghuai Fan, Xin Wang, Cheng Kong, and Xijun Yan. "New Method of Image Background Suppression Based on Soft Morphology and Retinex Theory." Journal of Electrical and Computer Engineering 2015 (2015): 1–11. http://dx.doi.org/10.1155/2015/389487.
Full textAbstract:
A new river flow measurement method based on graphic process has been proposed recently, which gets the velocity in optical imaging modality through measuring the continuous displacement of floating debris, then reconstructs a two-dimensional river surface velocity field by using the velocity of floating debris, and computes the section flow at last. However, the surface optical images have not only lights of target information, but also surface optical noise. It is difficult for reliable and stable continuous displacement detection of complex small observation target, which occupies only a small number of pixels comparing to a large field imaging area and has complex optical reflection properties. To solve this problem, this paper presents a background suppression method based on soft morphology and Retinex theory. Soft morphology is firstly used for the opening operation of the image, and then Retinex theory is used for optimal estimation of image incident component to suppress background of image. Finally, the simulations show that our method is superior to gray morphology and soft morphology on the performance of targets enhancement, noise filtering, and background suppression, and it has better background and targets discrimination quality subjective evaluation and higher signal-to-clutter ratio.
31
Lyudmyla, Volontyr. "INFORMATION REPRODUCTION SYSTEMS IN INFORMATION BUSINESS LOGISTICS." ENGINEERING, ENERGY, TRANSPORT AIC, no. 4(115) (December 24, 2021): 56–65. http://dx.doi.org/10.37128/2520-6168-2021-4-6.
Full textAbstract:
The article considers the fundamentals of the information reproduction systems formation in the optoelectronic element base for information logistics systems. The use of optoelectronic elements for information processing has been considered, namely discrete optoelectronic digital systems, analog systems, optical memory systems, optical systems of input-output of information in computers, systems based on fiber devices of neuristor type. It is emphasized that modern logistics is impossible without the active use of information technology. The functions of information support of managerial influences can be performed by information technologies used today in logistics. To perform the tasks of financial flow management, these technologies can be supplemented by modules of eye-processing of the information. Logic-clock quantron automatic devices based on optocouplers are suitable for creating parallel information operating environments, which is a universal means of converting and presenting information. This approach leads to the creation of matrix-type devices that are able not only to receive information but also to process it. One of the promising areas of use of optoelectronic matrix systems is the creation of flat operating screens for parallel reception and display of information. The paper presents the classification of operating screens according to such features as: the principle of displaying information, the type of input information, the type of output information, the method of image formation, the number of consumers of the information. The analysis of electric circuit diagram of modern LED matrix video screens, in particular of a typesetting-modular design has been presented. A comparison of the forms of organization of matrix video screens is made, and it is emphasized that the most economical in terms of the number of memory trigger elements per one LED of the display cell is a video information system based on the structure of the third group video screen. The structure of the video information system is optimized according to the criterion of optimality – the maximum image quality on the matrix screen and the minimum screen complexity, which is determined by the circuit features of the microelectronic circuits.
32
Maros, Maria Berkes, Attila Fazekas, Péter Barkóczy, Szilvia Szeghalmy, and Zsuzsanna Koncsik. "Qualifying Glass Surfaces by Scratch Test with Integrated Image Processing." Key Engineering Materials 409 (March 2009): 267–74. http://dx.doi.org/10.4028/www.scientific.net/kem.409.267.
Full textAbstract:
Residual stresses of production origin superimposed with the operational stresses influences the reliability of glass products. The most widely used procedures for their detection and qualification are optical methods that can not be utilized for testing of non-transparent glasses. A recently developed glass qualifying procedure based on scratch test with integrated image processing is applicable for evaluating the residual stresses in surface of both the transparent and non-transparent glasses. The reliability of the suggested test method is greatly dependent on the information content provided by the involved image analysis procedure. The current paper introduces the principle, and methodology of the test method, furthermore presents the latest results gained by applying an improved algorithm of the image processing.
33
Shmatko, Olexandr, Valerii Volosyuk, Simeon Zhyla, Vladimir Pavlikov, Nikolay Ruzhentsev, Eduard Tserne, Anatoliy Popov, et al. "Synthesis of the optimal algorithm and structure of contactless optical device for estimating the parameters of statistically uneven surfaces." RADIOELECTRONIC AND COMPUTER SYSTEMS, no. 4 (November 29, 2021): 199–213. http://dx.doi.org/10.32620/reks.2021.4.16.
Full textAbstract:
The production of parts and (or) finished products in electronics, mechanical engineering and other industries is inextricably linked with the control of the accuracy and cleanliness of the processed surfaces. Currently existing meters of parameters of statistically uneven surfaces, both contact and non-contact have some disadvantages, as well as limitations due to methods and design features of measurement. Speckle interferometric methods for measuring parameters of statistically uneven surfaces make it possible to get away from some disadvantages inherent in existing methods and measurements. The use of methods of statistical radio engineering, methods of optimization of statistical solutions and estimates of parameters of predictive distributions for optimal radio engineering system synthesis is promising for the analysis and processing optical-electronic coherent laser space-time signals (speckle images) form with the laser radiation scattered by statistically uneven surfaces. This work synthesizes the optimal algorithm and structure for analyzing the parameters of statistically-temporal surfaces based on spatio-temporal processing of optical speckle interference signals and images using modern methods of optimal synthesis of radio engineering and coherent optoelectronic systems. In this work, an algorithm for processing optical signals scattered by statistically uneven surfaces is synthesized and investigated for problems of optimal estimation of parameters and statistical characteristics of statistically uneven surfaces. A block diagram of the optical contactless device for evaluating the parameters of statistically uneven surfaces is proposed. The limiting errors of estimation parameters of statistically uneven surfaces and the optimal installation angles of the emitters and the optical receiver are investigated. Equations are obtained for estimating the root-mean-square height of the ridges and the correlation radius of small-scale statistically uneven surfaces in the approximation of small perturbations. The proposed method for evaluating the parameters of statistically uneven surfaces allows to increase the accuracy of measurements, to conduct a non-contact assessment of the parameters - even statistically uneven surfaces that have geometric surface irregularities or located in hard-to-reach places, for example, grooves, holes, as well as products of cylindrical, spherical and other shapes.
34
Le, Cheng. "Information Detection and Data Denoising Method Using Nano Electrode Array Sensor." Journal of Nanoelectronics and Optoelectronics 16, no. 2 (February 1, 2021): 303–11. http://dx.doi.org/10.1166/jno.2021.2958.
Full textAbstract:
Computer technology and sensor technology can be combined. The technology set can be used to monitor the concentration of heavy metals in soil, which can help to prevent the occurrence of heavy metal pollution in time. First, nanotechnology, electrode polarization and the advantages of gold nanoparticles modified electrode are studied, and the design method of the nano electrode array is further analyzed. Also, the internal parameters of the three-electrode equivalent circuit are studied, and the model of the three-electrode equivalent circuit is derived. On this basis, a heavy metal monitoring circuit based on the nano electrode array sensor is designed. While the information monitoring based on this circuit is performed, wavelet domain denoising technology is studied in data processing. In view of the defects of the general hard threshold in practical application, the threshold is improved to recognize the depth of denoising. In the experiment, gold nanoparticles modified mercury electrode is used as working electrode. According to the principle that the precipitation time is inversely proportional to the detection current, 0.01 mol/L HCl is selected as the solution environment; moreover, it is set that pH=4 and the precipitation time is 4 min. The results show that for the same kind of ions, with the increase of the concentration of ions to be measured, the scanning potential range remains unchanged, while the peak current increases significantly. Metal ions can be effectively identified based on the potential corresponding to peak value. In the data processing of the detection circuit, the improved signal denoising method is compared with the default threshold wavelet domain denoising technology. The results show that the improved wavelet domain denoising method has less signal error, and the denoising effect of heavy metal detection is obvious.
35
Kulchin, Yu N., and E. V. Zakasovskaya. "Optimizing algebraic and neural methods for information processing in distributed fiber-optical measuring systems." Optical Memory and Neural Networks 19, no. 3 (September 2010): 237–47. http://dx.doi.org/10.3103/s1060992x10030057.
Full text
36
Li, Haifeng, and Bo Wu. "Adaptive geo-information processing service evolution: Reuse and local modification method." ISPRS Journal of Photogrammetry and Remote Sensing 83 (September 2013): 165–83. http://dx.doi.org/10.1016/j.isprsjprs.2013.03.002.
Full text
37
Wang, Jing, and Feng Xu. "Component-based Access Design Method for Dynamic Spatial Database." International Journal of Circuits, Systems and Signal Processing 16 (January 3, 2022): 6–16. http://dx.doi.org/10.46300/9106.2022.16.2.
Full textAbstract:
In order to realize the optimal access of dynamic spatial database, a component-based optimal access method of dynamic spatial database is proposed. The statistical information distribution model for storing the characteristic data of association rules is constructed in the dynamic spatial database. The fuzzy information features are extracted by using the dynamic component fusion clustering analysis method. Combined with the distributed association feature quantity, the fusion scheduling is carried out to control the dynamic information clustering. Combined with fuzzy c-means clustering analysis method, dynamic attribute classification analysis is carried out. The dynamic component block matching model is used for update iterative optimization, and the optimal access to the dynamic spatial database is realized in the cluster center. Simulation results show that this method has strong adaptability to the optimal access of dynamic spatial database, and has high accuracy and good convergence for data information extraction in dynamic spatial database.
38
Zhao, Man, Jin Jiang Cui, Fei Guo, Mei Zhao, and Da Yong Jiang. "Research on Road Target Recognition Method Based on Optical Image." Applied Mechanics and Materials 602-605 (August 2014): 1968–71. http://dx.doi.org/10.4028/www.scientific.net/amm.602-605.1968.
Full textAbstract:
With the development of science and technology, optical images with very high resolution have been able to provide a large amount of information. Therein the road target is the most widely used in optical image. Road target detection and recognition is extremely important for reducing a lot of practical work and greatly improving the efficiency of the target extraction and identification. Aimed at this problem, we propose a road target recognition method based on optical image.The method is realized by joining human recognize and identify, combining with the intelligence of computer processing and powerful place. So in this work, the method based on edge detection and Hough transform algorithm is exploded. The man-machine interactive recognition system (Road Target Extraction and Recognition System) is developed. The system is realized under Windows operating system. The tool is Visual C++ 6.0 software. The platform is MFC functions. The system is written in C++ language. The characteristics of the system are the strong pertinence and the simple operation. When the system is applied safely, the results are definite and clear.
39
Afanas'ev, Vitaliy M., and Roman S. Ponomarev. "Fiber-optic gyroscope with a phase information signal." ВЕСТНИК ПЕРМСКОГО УНИВЕРСИТЕТА. ФИЗИКА, no. 2 (2021): 23–35. http://dx.doi.org/10.17072/1994-3598-2021-2-23-35.
Full textAbstract:
A review of the methods of obtaining and processing the VOG signal is carried out. A gyroscope with the formation of a phase information signal in an interference loop (at the optical level) is proposed. The analysis of digital phase difference meters is carried out. The advantages of a gyroscope with a phase information signal and digital signal processing are the linearity of the scale factor, an increase in the dynamic range and a reduction in the influence of external factors on the measurement result.
40
Zhang, Luhe, Caiyun Li, Jiangyong He, Yange Liu, Jian Zhao, Huiyi Guo, Longfei Zhu, et al. "Optical Machine Learning Using Time-Lens Deep Neural NetWorks." Photonics 8, no. 3 (March 15, 2021): 78. http://dx.doi.org/10.3390/photonics8030078.
Full textAbstract:
As a high-throughput data analysis technique, photon time stretching (PTS) is widely used in the monitoring of rare events such as cancer cells, rough waves, and the study of electronic and optical transient dynamics. The PTS technology relies on high-speed data collection, and the large amount of data generated poses a challenge to data storage and real-time processing. Therefore, how to use compatible optical methods to filter and process data in advance is particularly important. The time-lens proposed, based on the duality of time and space as an important data processing method derived from PTS, achieves imaging of time signals by controlling the phase information of the timing signals. In this paper, an optical neural network based on the time-lens (TL-ONN) is proposed, which applies the time-lens to the layer algorithm of the neural network to realize the forward transmission of one-dimensional data. The recognition function of this optical neural network for speech information is verified by simulation, and the test recognition accuracy reaches 95.35%. This architecture can be applied to feature extraction and classification, and is expected to be a breakthrough in detecting rare events such as cancer cell identification and screening.
41
Fedotov, Vitaliy, and Sergey Solovykh. "Modernization of information-measuring systems for grain processing." E3S Web of Conferences 247 (2021): 01010. http://dx.doi.org/10.1051/e3sconf/202124701010.
Full textAbstract:
The paper discusses the basic operation principles of information-measuring systems for optimization wheat grain processing. The quality of grain processing products (cereals, flour, etc.) is influenced by both weather and climatic factors and grinding technologies. The modern development of information technologies makes it possible to modernize the existing information-measuring systems for grain processing and create new ones through the development of algorithms for analyzing the physical characteristics of the grain mass. During the study, test grinding of wheat grains of different varieties was carried out in a laboratory mill. To increase the yield of the finished product, digitalization of the selection of optimal grain separation modes was used. The obtained mathematical models allow predicting the quality of grain separation in separators of various types. The digitalization of the grain processing industry includes the use of artificial neural networks to analyze images of the grain mass using computer vision algorithms. It is promising to increase the information content of granulometric analysis using modern intelligent (information-measuring) systems. For the classification of wheat according to the milling properties, it is proposed to use the grain hardness. The studies used computer vision and artificial neural networks to find and organize the particles of grain grinding by geometric properties. The characteristics of the contours of the images of the grinding particles were taken into account. The values obtained by the developed information-measuring system were compared with that obtained using the Russian State Standard GOST methods. The error in assessing the grain hardness by the new method does not exceed 3.5%. The use of modern information tools allows improving the quality of wheat grain processing.
42
Wang, Mi, Chengcheng Fang, Bo Yang, and Yufeng Cheng. "LOW FREQUENCY ERROR ANALYSIS AND CALIBRATION FOR HIGH-RESOLUTION OPTICAL SATELLITE’S UNCONTROLLED GEOMETRIC POSITIONING." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B1 (June 3, 2016): 395–99. http://dx.doi.org/10.5194/isprsarchives-xli-b1-395-2016.
Full textAbstract:
The low frequency error is a key factor which has affected uncontrolled geometry processing accuracy of the high-resolution optical image. To guarantee the geometric quality of imagery, this paper presents an on-orbit calibration method for the low frequency error based on geometric calibration field. Firstly, we introduce the overall flow of low frequency error on-orbit analysis and calibration, which includes optical axis angle variation detection of star sensor, relative calibration among star sensors, multi-star sensor information fusion, low frequency error model construction and verification. Secondly, we use optical axis angle change detection method to analyze the law of low frequency error variation. Thirdly, we respectively use the method of relative calibration and information fusion among star sensors to realize the datum unity and high precision attitude output. Finally, we realize the low frequency error model construction and optimal estimation of model parameters based on DEM/DOM of geometric calibration field. To evaluate the performance of the proposed calibration method, a certain type satellite’s real data is used. Test results demonstrate that the calibration model in this paper can well describe the law of the low frequency error variation. The uncontrolled geometric positioning accuracy of the high-resolution optical image in the WGS-84 Coordinate Systems is obviously improved after the step-wise calibration.
43
Wang, Mi, Chengcheng Fang, Bo Yang, and Yufeng Cheng. "LOW FREQUENCY ERROR ANALYSIS AND CALIBRATION FOR HIGH-RESOLUTION OPTICAL SATELLITE’S UNCONTROLLED GEOMETRIC POSITIONING." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B1 (June 3, 2016): 395–99. http://dx.doi.org/10.5194/isprs-archives-xli-b1-395-2016.
Full textAbstract:
The low frequency error is a key factor which has affected uncontrolled geometry processing accuracy of the high-resolution optical image. To guarantee the geometric quality of imagery, this paper presents an on-orbit calibration method for the low frequency error based on geometric calibration field. Firstly, we introduce the overall flow of low frequency error on-orbit analysis and calibration, which includes optical axis angle variation detection of star sensor, relative calibration among star sensors, multi-star sensor information fusion, low frequency error model construction and verification. Secondly, we use optical axis angle change detection method to analyze the law of low frequency error variation. Thirdly, we respectively use the method of relative calibration and information fusion among star sensors to realize the datum unity and high precision attitude output. Finally, we realize the low frequency error model construction and optimal estimation of model parameters based on DEM/DOM of geometric calibration field. To evaluate the performance of the proposed calibration method, a certain type satellite’s real data is used. Test results demonstrate that the calibration model in this paper can well describe the law of the low frequency error variation. The uncontrolled geometric positioning accuracy of the high-resolution optical image in the WGS-84 Coordinate Systems is obviously improved after the step-wise calibration.
44
Lavrov, V. V., R. S. Luchkin, O. I. Nemykin, M. E. Prokhorov, Yu G. Ryndin, and V. S. Tyurin. "METHODS AND ALGORITHMS FOR THE COMPLETE PROCESSING OF A POSTDETECTOR LOW-CONTRAST OPTICAL IMAGE." Issues of radio electronics, no. 3 (March 20, 2018): 99–107. http://dx.doi.org/10.21778/2218-5453-2018-3-99-107.
Full textAbstract:
Methods and algorithms for the complete processing of a post-detector low-contrast optical image (OI) of an unknown remote object obtained by ground-based optical means of observation under conditions of a complex background situation are considered. The purpose of processing is to separate and interpret at least with the help of the analyst, of the main constructive elements using the integrated indicators introduced in [6] and the characteristics of the analyzed OI, which are connected by the information, topological and metric structures of the OI. The stages of processing the OI include extracting the image-containing information object of the image portion (detection) and filtration of the OI, using recursive rank filtering. The final stages of processing include the segmentation of the OI and the allocation on it constructive elements using the apparatus of graph theory. An example of image processing of a Spot-5 spacecraft obtained in real conditions is given. It is shown that in this case at the detection stage it is possible to reduce the volume of information processed at subsequent stages by 8 times, in the filtration process to increase the compactness of the OI and to increase its connectivity in comparison with the post-detection OI. As a result of segmentation and allocation of constructive elements, three structural elements that can be interpreted as a spacecraft case and two remote panels can be identified with the analyst’s participation.
45
Nemecek, Jiri, and Martin Polasek. "Passive Measurement of Three Optical Beacon Coordinates Using a Simultaneous Method." Sensors 21, no. 15 (August 2, 2021): 5235. http://dx.doi.org/10.3390/s21155235.
Full textAbstract:
Among other things, passive methods based on the processing of images of feature points or beacons captured by an image sensor are used to measure the relative position of objects. At least two cameras usually have to be used to obtain the required information, or the cameras are combined with other sensors working on different physical principles. This paper describes the principle of passively measuring three position coordinates of an optical beacon using a simultaneous method and presents the results of corresponding experimental tests. The beacon is represented by an artificial geometric structure, consisting of several semiconductor light sources. The sources are suitably arranged to allow, all from one camera, passive measurement of the distance, two position angles, the azimuth, and the beacon elevation. The mathematical model of this method consists of working equations containing measured coordinates, geometric parameters of the beacon, and geometric parameters of the beacon image captured by the camera. All the results of these experimental tests are presented.
46
Zhu, Xiaojun, Zheng Zhang, Jian Ruan, Houde Liu, and Hanxu Sun. "ResSANet: Learning Geometric Information for Point Cloud Processing." Sensors 21, no. 9 (May 6, 2021): 3227. http://dx.doi.org/10.3390/s21093227.
Full textAbstract:
Point clouds with rich local geometric information have potentially huge implications in several applications, especially in areas of robotic manipulation and autonomous driving. However, most point cloud processing methods cannot extract enough geometric features from a raw point cloud, which restricts the performance of their downstream tasks such as point cloud classification, shape retrieval and part segmentation. In this paper, the authors propose a new method where a convolution based on geometric primitives is adopted to accurately represent the elusive shape in the form of a point cloud to fully extract hidden geometric features. The key idea of the proposed approach is building a brand-new convolution net named ResSANet on the basis of geometric primitives to learn hierarchical geometry information. Two different modules are devised in our network, Res-SA and ResSA2, to achieve feature fusion at different levels in ResSANet. This work achieves classification accuracy up to 93.2% on the ModelNet40 dataset and the shape retrieval with an effect of 87.4%. The part segmentation experiment also achieves an accuracy of 83.3% (class mIoU) and 85.3% (instance mIoU) on ShapeNet dataset. It is worth mentioning that the number of parameters in this work is just 1.04 M while the network depth is minimal. Experimental results and comparisons with state-of-the-art methods demonstrate that our approach can achieve superior performance.
47
Cherkashyna, O. "Increase the contrast of the image of objects in the active optoelectronic system with dynamic spectral processing of optical emitting." Lighting engineering and power engineering 3, no. 59 (November 27, 2020): 122–26. http://dx.doi.org/10.33042/2079-424x-2020-3-59-122-126.
Full textAbstract:
The article discusses a method for increasing the contrast of images in an optoelectronic system based on active dynamic spectral matched filtering. The principles of constructing active optoelectronic systems with matched filtering are based on the fact that the optical system uses a set of amplitude-controlled radiation sources operating in different parts of the spectral range as emitting sources. It is essential that the energy composition of the light emission control signals is formed on the basis of a priori information about the characteristics of the target and the background, so as to reduce the value of the spectral components of the optical signal reflected from the surface belongs to the background and with minimal attenuation of the signal intensity belonging to the object. The method assumes the presence of a set of a priori information about the spectral characteristics of the background and the object to form the instrumental function for controlling the amplitude of emitting sources. The analysis of the mathematical and physical aspects of systems with dynamic spectral processing of active type optical emitting is made. It is shown that an active optoelectronic system with dynamic spectral processing can be considered as an analog processor for calculating the dot product of a vector by a vector. One of the factors is the reflection coefficient from a surface with a priori known characteristics, and the second is a dimmable multispectral signal. A block diagram of an optoelectronic system with dynamic spectral processing of optical emitting with active formation of the information field in order to increase the contrast of the object image has been developed. The goal of the article is to develop the mathematical and physical foundations for constructing an active optoelectronic system with dynamic spectral processing of optical emitting in order to increase the image contrast.
48
Louka, Marinos, and Efstathios Kaliviotis. "Development of an Optical Method for the Evaluation of Whole Blood Coagulation." Biosensors 11, no. 4 (April 9, 2021): 113. http://dx.doi.org/10.3390/bios11040113.
Full textAbstract:
Blood coagulation is a defense mechanism, which is activated in case of blood loss, due to vessel damage, or other injury. Pathological cases arise from malfunctions of the blood coagulation mechanism, and rapid growth of clots results in partially or even fully blocked blood vessel. The aim of this work is to characterize blood coagulation, by analyzing the time-dependent structural properties of whole blood, using an inexpensive design and robust processing approaches. The methods used in this work include brightfield microscopy and image processing techniques, applied on finger-prick blood samples. The blood samples were produced and directly utilized in custom-made glass microchannels. Color images were captured via a microscopy-camera setup for a period of 35 min, utilizing three different magnifications. Statistical information was extracted directly from the color components and the binary conversions of the images. The main advantage in the current work lies on a Boolean classification approach utilized on the binary data, which enabled to identify the interchange between specific structural elements of blood, namely the red blood cells, the plasma and the clotted regions, as a result of the clotting process. Coagulation indices produced included a bulk coagulation index, a plasma-reduction based index and a clot formation index. The results produced with the inexpensive design and the low computational complexity in the current approach, show good agreement with the literature, and a great potential for a robust characterization of blood coagulation.
49
Panishchev, V. S., M. I. Trufanov, O. G. Dobroserdov, and O. O. Khomyakov. "Recognition of character information for automation of production processes." Proceedings of the Southwest State University 25, no. 1 (May 30, 2021): 122–37. http://dx.doi.org/10.21869/2223-1560-2021-25-1-122-137.
Full textAbstract:
Purpose of research. Nowadays optical character recognition systems have a high level of dependence on the specific type of marking that is to be recognized, and therefore, the creation of a universal solution is an important and difficult task. The paper considers the issue of creating a system for recognizing symbolic information that can be used at various stages of production to automate processes in control systems, in particular, to analyze the labeling of circuit breakers.Methods. Binarization, filtering, and boundary detection are digital image processing techniques. Line search method, baseline search method, word splitting algorithms, image enhancement methods by segmentation, damaged characters recognition method, an algorithm for increasing the final recognition quality are character recognition methods.Results. The analysis of algorithms used for preprocessing and subsequent recognition of images containing marking of circuit breakers is carried out. The mathematical model of image processing for subsequent recognition has been created. We have described methods used to define marking symbols. Illustrative examples of the operation of the algorithms on which the system is built are given. The obtained solution was tested. The ways of system development are described here, they can lead to improved results, for particular use cases.Conclusion. It is proposed a solution that recognizes symbolic information on the labeling of circuit breakers, which can be the basis for the development and description of systems serving for the automation of production, by transferring information read from the product during the production process. This system, by its example, describes the components of character recognition systems, and for direct use, it needs to be refined in accordance with the technical requirements and the specifics of the conditions in which it will be used.
50
Zhou, Liming, Yahui Li, Xiaohan Rao, Yadi Wang, Xianyu Zuo, Baojun Qiao, and Yong Yang. "Feature Enhancement-Based Ship Target Detection Method in Optical Remote Sensing Images." Electronics 11, no. 4 (February 18, 2022): 634. http://dx.doi.org/10.3390/electronics11040634.
Full textAbstract:
Ship targets in ORSIs (Optical Remote Sensing Images) have the characteristics of various scales, and most of them are medium and small-scale targets. When the existing target detection algorithms are applied to ship target detection in ORSIs, the detection accuracy is low. There are two main reasons for the above problems, one is the mismatch of the receptive fields, and the other is the lack of feature information. For resolving the problem that multi-scale ship targets are difficult to detect, this paper proposes a ship target detection algorithm based on feature enhancement. Firstly, EIRM (Elastic Inception Residual Module) is proposed for feature enhancement, which can capture feature information of different dimensions and provide receptive fields of different scales for mid- and low-level feature maps. Secondly, the SandGlass-L block is proposed by replacing the ReLu6 activation function of the SandGlass block with the Leaky ReLu activation function. Leaky ReLu solves the problem of 0 output when ReLu6 has negative input, so the SandGlass-L block can retain more feature information. Finally, based on SandGlass-L, SGLPANet (SandGlass-L Path Aggregation Network) is proposed to alleviate the problem of information loss caused by dimension transformation and retain more feature information. The backbone network of the algorithm in this paper is CSPDarknet53, and the SPP module and EIRM act after the backbone network. The neck network is SGLPANet. Experiments on the NWPU VHR-10 dataset show that the algorithm in this paper can well solve the problem of low detection accuracy caused by mismatched receptive fields and missing feature information. It not only improves the accuracy of ship target detection, but also achieves good results when extended to other categories. At the same time, the extended experiments on the LEVIR dataset show that the algorithm also has certain applicability on different datasets.