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检索条件"任意字段=Conference on Image Processing - Algorithms and Systems XI"

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Rate-distortion bounds for motion compensated rate scalable video coders

Rate-distortion bounds for motion compensated rate scalable ...

引用

2004 International conference on image processing, ICIP 2004

作者： Cook, Gregory W. Prades-Nebot, J. Delp, Edward J. Purdue University West Lafayette IN 47907-1285 United States Departamento de Comunicaciones Universidad Politécnica de Valencia Valencia 46071 Spain

In this paper, we derive and evaluate theoretical rate-distortion performance bounds for scalable video compression algorithms which use a single motion-compensated prediction (MCP) loop. These bounds are derived using rate-distortion theory based on an optimum mean-square error (MSE) quantizer. By specifying translatory motion and using an approximation of the predicted error frame power spectral density, it is possible to derive parametric versions of the rate-distortion functions which are based solely on the input power spectral density and the accuracy of the motion-compensated prediction. The theory is applicable to systems which allow prediction drift, such as the SNR-scalability in MPEG-2, as well as those with zero prediction drift such as the MPEG-4 fine grained scalable standard. © 2004 IEEE.

关键词： image coding

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Research on the Application of image processing Technology in Vehicle License Plate Recognition 8

Research on the Application of Image Processing Technology i...

引用

8th International conference on Intelligent Computing and Signal processing, ICSP 2023

作者： Qiu, Caihua Ding, Feng Guangdong University of Science and Technology 99 Xihu Road Nancheng District Guangdong Dongguan523083 China Guangzhou Xinhua University 248 Yanjianxi Road Machong Town Guangdong Dongguan523133 China

ISBN: (纸本)9798350302455

With the development of artificial intelligence, image recognition technology has been applied to various aspects of life, such as license plate recognition. License plate recognition has many application scenarios in real life, but due to various interferences in daily life, the accuracy of license plate recognition is often affected. In order to improve the accuracy and efficiency of license plate recognition, we need to integrate image processing technology into license plate image recognition pre-processing technology, and use Gaussian filter, grayscale, binarization to complete license plate image pre-processing, so as to reduce the interference of objective conditions on license plate recognition efficiency. Through experiments, we know that using image recognition technology can reduce the computational power consumption of license plate recognition systems, improve image recognition efficiency and accuracy. © 2023 IEEE.

关键词： image recognition

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An Electromagnetic Parameter Estimation Method for Microwave Photonic Signal Based on PSO

An Electromagnetic Parameter Estimation Method for Microwave...

引用

2021 CIE International conference on Radar, Radar 2021

作者： xie, Yiyuan Gao, Yuexin xing, Mengdao Xidian University National Laboratory of Radar Signal Processing Xi'an China School of Aerospace Science and Technology Xidian University Xi'an China

ISBN: (纸本)9781665498142

Microwave photonics radar generates cross-band signals, which provides a basis for precise electromagnetic characteristics description and accurate identification of targets. As a result, a corresponding electromagnetic model parameter extraction method is urgently required under the cross-band and wide-angle condition. This paper proposes a parameter estimation method based on an improved Particle Swarm Optimization (PSO). The representation dictionary without range-azimuth coupling of scattering behavior for the data processed by PFA is firstly formed based on the attributed scattering center (ASC) model. Based on the proposed scattering behavior dictionary, the improved PSO algorithm and the CLEAN algorithm are implemented to estimate the electromagnetic parameters of each scattering center. Further, the simulated annealing (SA) algorithm is introduced to improve the method's capacity to find the global optimum. Finally, the structure of each scattering center can be identified according to the parameter estimation results. The processing results of simulation data verify the effectiveness of the algorithm. Compared with traditional algorithms, the proposed algorithm is insensitive to the initialization value and does not require image segmentation, which reduces the complexity of computation. © 2021 IEEE.

关键词： Attributed scattering center Cross-band radar imaging Parameter estimation Particle Swarm Algorithm Polar Format Algorithm

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Low Cost effective Real Time Detection of Fabric Defects with CCD Linear image Sensor

Low Cost effective Real Time Detection of Fabric Defects wit...

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2021 Innovations in Intelligent systems and Applications conference, ASYU 2021

作者： Ergin, Ahmet Sait Ozguven, Omerulfaruk Malatya Turgut Özal Üniversitesi Arapgir Meslek Yüksekokulu Elektronik Ve Otomasyon Bölümü Malatya Turkey

ISBN: (纸本)9781665434058

In this study, real-time detection of defects of fabrics produced on knitting machines was carried out by using CCD (Charge Coupled Device) linear image sensor. To simulate knitting machines, a cylindrical drum rotated with a direct current motor was designed, and work was carried out with faulty and faultless fabrics wound on this drum. A lowcost linear line camera sensor containing 1500 active pixels was chosen for this study. The driver circuit of the selected image sensor requires interdependent and very precise timer signals. For this reason, a development board containing a 32-bit microcontroller with an operating frequency of 100 MHz with a superior price/performance ratio was used to control the sensor. In addition, a light source with a wavelength between 500 nm and 600 nm, to which the sensor is maximum sensitive, was used. Linear dash camera sensor has analog output. For this reason, every image pixel detected by the sensor is converted into digital. Since the microcontroller used in the study supports direct memory access, the data converted from analog to digital are automatically saved in the memory. Thus, both the maximum speed supported by the development board in analog-digital conversion has been reached, and it has been possible to perform the control in real time by processing the previous line data in this hardware-driven processing time period. Since two-dimensional image analysis algorithms require very high processing power and it is not possible for microcontrollers to perform this process in real time, image analysis was performed for one dimension, ie row. The fabric defect was detected by monitoring the statistical parameters, the drum was stopped by the control circuit of the motor, and the machine operator was simulated to be informed of the error with the audible warning system at the same time. © 2021 IEEE.

关键词： Microcontrollers

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Experiences with Video-Based Incident Detection and Parking Space Surveillance systems on Motorways in the Free State of Saxony

Experiences with Video-Based Incident Detection and Parking ...

引用

11th International conference on Transport systems Telematics (TST 2011)

作者： Doege, Klaus-Peter Tech Univ Dresden Inst Intelligent Transportat Syst Chair Traff & Proc Automat D-01062 Dresden Germany

ISBN: (纸本)9783642246593;9783642246609

Today, video cameras are widely used to monitor the state and level of traffic. However, while planning a system for the motorways in the Free State of Saxony (Germany), three major problems became obvious. Most commercial image processing software depends on a particular camera model, and it must be calibrated by a professional. In addition, the diverse and sometimes severe environmental conditions are still a challenge for most algorithms. The research goal of the presented work was to resolve these problems with a novel in-house development. The methods developed for incident detection and parking space surveillance do not disclose vehicle-specific characteristics. Only stochastic and non-specific characteristics are used for image processing. Significant results are a remarkable robustness against weather and lighting conditions as well as minimal requirements regarding camera height and direction. The latter leads to low procurement costs as existing infrastructure can be used for the camera installation.

关键词： video-detection incident detection parking space surveillance stochastic image properties traffic management

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Diffusion-based similarity for image analysis 4th

Diffusion-based similarity for image analysis

引用

4th International conference on Pattern Recognition Applications and Methods, ICPRAM 2015

作者： Gaura, Jan Sojka, Eduard VŠB - Technical University of Ostrava 17. listopadu 15 Ostrava-Poruba708 33 Czech Republic

ISBN: (纸本)9783319276762

Measuring the distances is a key problem in many imageanalysis algorithms. This is especially true for image segmentation. It provides a basis for the decision whether two image points belong to a single or to two different image segments. Many algorithms use the Euclidean distance, which may not be the right choice. The geodesic distance or the k shortest paths measure the distance along the surface that is defined by the image function. The diffusion distance seems to provide better properties since all the paths are taken into account. In this paper, we show that the diffusion distance has the properties that make it difficult to use in some image processing algorithms, mainly in image segmentation, which extends the recent observations of some other authors. We propose a new measure called normalised diffusion cosine similarity that overcomes some problems of diffusion distance. Lastly, we present the necessary theory and the experimental results. © Springer International Publishing Switzerland 2015.

关键词： Diffusion

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Color constancy with specular and non-specular surfaces

Color constancy with specular and non-specular surfaces

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7th Annual Color Imaging conference

作者： Barnard, K Funt, B Simon Fraser Univ Sch Comp Sci Burnaby BC V5A 1S6 Canada

ISBN: (纸本)0892082259

There is a growing trend in machine color constancy research to use only image chromaticity information, ignoring the magnitude of the image pixels. This is natural because the main purpose is often to estimate only the chromaticity of the illuminant. However, the magnitudes of the image pixels also carry information about the chromaticity of the illuminant. One such source of information is through image specularities. As is well known in the computational color constancy field, specularities from inhomogeneous materials (such as plastics and painted surfaces) can be used for color constancy. This assumes that the image contains specularities, that they can be identified, and that they do not saturate the camera sensors. These provisos make it important that color constancy algorithms which make use of specularities also perform well when the they are absent. A further problem with using specularities is that the key assumption, namely that the specular component is the color of the illuminant, does not hold in the case of colored metals. In this paper we investigate a number of color constancy algorithms in the context of specular and nonspecular reflection. We then propose extensions to several variants of Forsyth's CRULE algorithm(1-4) which make use of specularities if they exist, but do not rely on their presence. In addition, our approach is easily extended to include colored metals, and is the first color constancy algorithm to deal with such surfaces. Finally, our method provides an estimate of the overall brightness, which chromaticity-based methods cannot do, and other RGB based algorithms do poorly when specularities are present.

关键词： Color image processing

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Geo-based image processing on mobile cloud computing environment

Geo-based image processing on mobile cloud computing environ...

引用

33rd Asian conference on Remote Sensing 2012, ACRS 2012

作者： Kang, Sanggoo Lee, Kiwon Dept. of Information Systems Engineering Hansung University 386 Samseon-dong Seongbuk-gu Seoul 136-792 Korea Republic of

ISBN: (纸本)9781622769742

It is known that cloud computing service shows many advantages such as economic cost, flexible scalability, improved security, sharing and excellent accessibility. Accordingly, it is growing very fast in the information communication technology (ICT) fields, and will be expected to be used in various real world problems. Among several application models with cloud concept, mobile cloud computing service is one of cloud computing services, which mean combination of cloud computing with the mobile services. In terms of the ripple effect, applicability and development possibility, mobile cloud computing is highly evaluated, because of popularity of mobile devices. Another keyword in this study is a geo-based image. This is used to various applications for remote sensing processing, and especially using to useful source for visualization in the map services by many web portal service providers through mobile or desktop web browser. Although the result of geo-based image processing by certain analysis algorithms is significant to interpret surficial phenomena, most map services are focused on geo-based image visualization, so that image processing or analysis functions and their results is not provided in current map services applications yet. It is expected that mobile cloud computing service and geo-based image processing service can be generating synergy effect. This study is design and implementation of the mobile app for geo-based image processing and visualization based on mobile cloud computing service and open source concept. Considerations to mobile app development in cloud computing environment are describing in this study such as image processing core module, processing or analysis speed and multi device user interface. In conclusion, this study is the first approach to provide analysis function services with respect to geo-based image in mobile cloud environment.

关键词： Remote sensing

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Statistical based 3-D image Registration Approach with External markers 23

Statistical based 3-D Image Registration Approach with Exter...

引用

23rd Signal processing: algorithms, Architectures, Arrangements, and Applications, SPA 2019

作者： Abche, Antoine Yaacoub, Olga Chreiky, Robert Karam, Elie University of Balamand Electrical Engineering Department Balamand Lebanon

ISBN: (纸本)9788362065363

In this paper, a new method for 3-D image registration based on the positions of corresponding external point markers in two modalities is presented. The proposed approach is based on the Bayesian theorem, the normal likelihood function (expressing the residuals) and the exponential priors to approximate the posterior density of the registration transformation. The transformation is expressed in terms of 9 parameters: 3 magnifications, 3 translations and 3 rotation angles. The parameters are estimated using the Markov Chain Monte Carlo sampling approach i.e. Gibbs sampling. The performance of the proposed registration technique is evaluated quantitatively using Monte-Carlo simulation techniques by generating images of the external markers in two modalities. Having transformed the corresponding marker positions to the same coordinate system using the estimated transformation, their residuals are computed. Thus, the various factors that affect the registration's accuracy can be investigated using the residuals of the external markers and the registration parameters. These factors include: The number of external markers and the positioning errors of the markers. © 2019 Division of Signal processing and Electronic systems, Poznan University of Technology (DSPES PUT).

关键词： image registration

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Recent Trends in Applied Artificial Intelligence: 26th International conference on Industrial, Engineering and Other Applications of Applied Intelligent systems, IEA/AIE 2013, Amsterdam, The Netherlands, June 17-21, 2013. Proceedings 1

引用

丛书名： Lecture Notes in Computer Science 7906

2013年

作者： Kazuo Miyashita (auth.), Moonis Ali, Tibor Bosse, Koen V. Hindriks, Mark Hoogendoorn, Catholijn M. Jonker, Jan Treur (eds.)

ISBN: (数字)9783642385773

ISBN: (纸本)9783642385766;9783642385773

This volume constitutes the thoroughly refereed conference proceedings of the 26th International conference on Industrial Engineering and Other Applications of Applied Intelligence systems, IEA/AIE 2013, held in Amsterdam, The Netherlands, in June 2013. The total of 71 papers selected for the proceedings were carefully reviewed and selected from 185 submissions. The papers focus on the following topics: auctions and negotiation, cognitive modeling, crowd behavior modeling, distributed systems and networks, evolutionary algorithms, knowledge representation and reasoning, pattern recognition, planning, problem solving, robotics, text mining, advances in recommender systems, business process intelligence, decision support for safety-related systems, innovations in intelligent computation and applications, intelligent image and signal processing, and machine learning methods applied to manufacturing processes and production systems.

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