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检索条件"任意字段=Image Processing: Algorithms and Systems VI"

共 197 条记录，以下是51-60 订阅

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Detection of Symmetric Shapes on a Mobile Device with Applications to Automatic Sign Interpretation

Detection of Symmetric Shapes on a Mobile Device with Applic...

引用

Conference on Multimedia on Mobile Devices and Multimedia Content Access - algorithms and systems vi

作者： Haddad, Andrew W. Huang, Shanshan Boutin, Mireille Delp, Edward J. Purdue Univ Video & Image Proc Lab VIPER Sch Elect & Comp Engn W Lafayette IN 47907 USA

ISBN: (纸本)9780819489517

We present a light-weight method for automatically detecting shapes that have an approximate rotational symmetry (e. g., a square or equilateral triangle) on discrete-space images. Our motivation is the problem of automatically detecting and recognizing hazardous material placards on a mobile platform (e. g., a mobile telephone) equipped with a camera. The proposed method is well-suited for mobile device applications, which are characterized by limited memory, processing power and battery life. It is based on comparing the magnitude of the coefficients of the Fourier series of the centralized moments of the Radon transform of the image after segmentation. However, in our approach, the computation of the Radon transform is bypassed as we obtain these coefficients directly from the rows of the Pascal Triangle of the segmented image. The Pascal Triangle of an image is composed of complex moments arranged in a pyramidal fashion similar to the binomial coefficients. These complex moments are obtained from a coarse segmentation of the shape represented by a gray-scale image. In particular, the contours of the object do not need to be precisely defined, and the shape needs not be connected. Moreover, our approach is invariant under translation, rotation, and scaling. We tested our method on images from the MPEG-7 shape database as well as images from our own database of hazardous material placards.

关键词： Invariant Moments Radon Transform Symmetry Detection Shape Detection image Recognition Rotational Symmetry

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Deblocking of mobile stereo video

Deblocking of mobile stereo video

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Conference on Multimedia on Mobile Devices and Multimedia Content Access - algorithms and systems vi

作者： Azzari, Lucio Gotchev, Atanas Egiazarian, Karen Tampere Univ Technol Dept Signal Proc FIN-33101 Tampere Finland

ISBN: (纸本)9780819489517

Most of candidate methods for compression of mobile stereo video apply block-transform based compression based on the H-264 standard with quantization of transform coefficients driven by quantization parameter (QP). The compression ratio and the resulting bit rate are directly determined by the QP level and high compression is achieved for the price of visually noticeable blocking artifacts. Previous studies on perceived quality of mobile stereo video have revealed that blocking artifacts are the most annoying and most influential in the acceptance/rejection of mobile stereo video and can even completely cancel the 3D effect and the corresponding quality added value. In this work, we address the problem of deblocking of mobile stereo video. We modify a powerful non-local transform-domain collaborative filtering method originally developed for denoising of images and video. The method employs grouping of similar block patches residing in spatial and temporal vicinity of a reference block in filtering them collaboratively in a suitable transform domain. We study the most suitable way of finding similar patches in both channels of stereo video and suggest a hybrid four-dimensional transform to process the collected synchronized (stereo) volumes of grouped blocks. The results benefit from the additional correlation available between the left and right channel of the stereo video. Furthermore, addition sharpening is applied through an embedded alpha-rooting in transform domain, which improve the visual appearance of the deblocked frames.

关键词： video video compression Gaussian filters Quantization video processing visualization 3D video compression Optical filters image filtering Signal processing

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Dietary Intake Assessment using Integrated Sensors and Software

Dietary Intake Assessment using Integrated Sensors and Softw...

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Conference on Multimedia on Mobile Devices and Multimedia Content Access - algorithms and systems vi

作者： Shang, Junqing Pepin, Eric Johnson, Eric Hazel, David Teredesai, Ankur Kristal, Alan Mamishev, Alexander Univ Washington Dept Elect Engn Seattle WA 98195 USA Univ Washington Inst Technolo Tacoma WA USA Fred Hutchinson Canc Res Ctr Publ Sci Div Canc Prevent Seattle WA USA

ISBN: (纸本)9780819489517

The area of dietary assessment is becoming increasingly important as obesity rates soar, but valid measurement of the food intake in free-living persons is extraordinarily challenging. Traditional paper-based dietary assessment methods have limitations due to bias, user burden and cost, and therefore improved methods are needed to address important hypotheses related to diet and health. In this paper, we will describe the progress of our mobile Diet Data Recorder System (DDRS), where an electronic device is used for objective measurement on dietary intake in real time and at moderate cost. The DDRS consists of (1) a mobile device that integrates a smartphone and an integrated laser package, (2) software on the smartphone for data collection and laser control, (3) an algorithm to process acquired data for food volume estimation, which is the largest source of error in calculating dietary intake, and (4) database and interface for data storage and management. The estimated food volume, together with direct entries of food questionnaires and voice recordings, could provide dietitians and nutritional epidemiologists with more complete food description and more accurate food portion sizes. In this paper, we will describe the system design of DDRS and initial results of dietary assessment.

关键词： Dietary intake assessment smartphone integrated sensor image processing volume estimation 3D reconstruction

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Proceedings of SPIE-IS and T Electronic Imaging - image processing: algorithms and systems vi

Proceedings of SPIE-IS and T Electronic Imaging - Image Proc...

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image processing: algorithms and systems vi

ISBN: (纸本)9780819469847

The proceedings contain 49 papers. The topics discussed include: filtering and luminance correction for aged photographs;multivariate mathematical morphology and Bayesian classifier application to colour and medical images;an efficient detection technique for removing random-valued impulse noise in images;on the detection of cracks in photographic prints;image restoration by sparse 3D transform-domain collaborative filtering;projection image enhancement for explosive detection systems;Bayesian anisotropic denoising in the Languerre Gauss domain;uncertainty analysis of an evolutionary algorithm to develop remote sensing spectral indices;automatic determination of runway edges in poor visibility conditions;measurement of annual ring width of log ends in forest machinery;and implementing real-time adaptive filtering for medical applications on the cell processor using a generic multicare framework.

关键词： image processing

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Micro-UAV tracking framework for EO exploitation

Micro-UAV tracking framework for EO exploitation

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Conference on Evolutionary and Bio-Inspired Computation - Theory and Applications vi

作者： Browning, David Wilhelm, Joe Van Hook, Richard Gallagher, John Wright State Univ Dayton OH 45435 USA Air Force Res Lab Wright Patterson AFB OH 45433 USA

ISBN: (纸本)9780819490803

Historically, the Air Force's research into aerial platforms for sensing systems has focused on low-, mid-, and high-altitude platforms. Though these systems are likely to comprise the majority of the Air Force's assets for the foreseeable future, they have limitations. Specifically, these platforms, their sensor packages, and their data exploitation software are unsuited for close-quarter surveillance, such as in alleys and inside of buildings. Micro-UAVs have been gaining in popularity, especially non-fixed-wing platforms such as quad-rotors. These platforms are much more appropriate for confined spaces. However, the types of video exploitation techniques that can effectively be used are different from the typical nadir-looking aerial platform. This paper discusses the creation of a framework for testing existing and new video exploitation algorithms, as well as describes a sample micro-UAV-based tracker.

关键词： MUTEX micro-UAV tracking open-source image processing

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Pattern recognition in embedded systems

Pattern recognition in embedded systems

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6th International Conference on Advanced Topics in Optoelectronics, Microelectronics and Nanotechnologies, ATOM-N 2012

作者： Şchiopu, Paul Bogdan, Apetrechioaie Mateescu, Luminiţa Politehnica University Bucharest Romania Advanced Technologies Institute Bucharest Romania RoMoD Military Equipment and Technologies Research Agency Bucharest Romania

ISBN: (纸本)9780819490896

The article describes the principle and design of a standalone, mobile processing system which performs optical character recognition (OCR) in images acquired from a video camera. The system includes a powerful digital signal processor and implements image enhancements and pattern recognition algorithms. The device has IP Ethernet interface and is suited for remote applications, with low power requirements, high performance and low cost. Applications such as Automatic License Plate Number Recognition (ANPR), Automatic document electronic transcoding, and others can be accomplished using this system. © 2012 SPIE.

关键词： Optical character recognition

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Multi-frame atmospheric compensation under moving camera conditions

Multi-frame atmospheric compensation under moving camera con...

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Conference on Modeling and Simulation for Defense systems and Applications vi

作者： Paolini, Aaron L. Bodnar, Michael R. Ortiz, Fernando Price, Daniel K. EM Photon Newark DE 19711 USA

ISBN: (纸本)9780819486349

Multi-frame algorithms for the removal of atmospheric turbulence have proven effective under ideal conditions where the scene remains static;however, movement of the camera across a scene often introduces undesirable effects that degrade the quality of processed imagery to the point where it becomes unusable. This paper discusses the development of two solutions to this problem, each with different computational costs and levels of efficacy. We discuss a solution to this problem that uses robust registration methods to align a window of input images to each other and processes them to obtain a single improved frame, repeating the sequence of realignment and processing each time a new frame arrives. While this approach produces high quality results, the associated computational cost precludes real-time implementation, even on accelerated platforms. An alternative solution involves measuring scene movement through lightweight registration and quantification. Registration results are used to make a global determination of "safe" approaches to processing in order to avoid degraded results. This particular method is computationally inexpensive at the cost of efficacy. We discuss the performance of both of these modifications against the original, uncompensated algorithm in terms of computational cost and quality of output imagery. Additionally, we will briefly discuss future goals which aim to minimize additional computation while maximizing processing efficacy.

关键词： bispectral speckle imaging atmospheric compensation moving camera image processing

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Modeling and Simulation for Defense systems and Applications vi

Modeling and Simulation for Defense Systems and Applications...

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Modeling and Simulation for Defense systems and Applications vi

ISBN: (纸本)9780819486349

The proceedings contain 19 papers. The topics discussed include: a high performance computing framework for physics-based modeling and simulation of military ground vehicles;rolling partial prefix-sums to speedup evaluation of uniform and affine recurrence equations;accelerating sparse linear algebra using graphics processing units;high-level GPU computing with jacket for MATLAB and C/C++;roles and assessment methods for models of sensor data exploitation algorithms;multi-frame atmospheric compensation under moving camera conditions;power versus performance tradeoffs of GPU-accelerated backprojection-based synthetic aperture radar image formation;a hardware-in-the-loop simulation program for ground-based radar;an agile acquisition decision-support workbench for evaluating ISR effectiveness;modeling of hybrid organic/inorganic dual RF-photonic slot waveguide modulator;and improved representation of situational awareness within a dismounted small combat unit constructive simulation.

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Digital image processing in high resolution infrared camera with use of programmable logic device

Digital image processing in high resolution infrared camera ...

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Conference on Optics and Photon for Counterterrorism and Crime Fighting vi/Optical Materials in Defence systems Technology viI

作者： Sosnowski, Tomasz Bieszczad, Grzegorz Kastek, Mariusz Madura, Henryk Mil Univ Technol Inst Optoelect Warsaw Poland

ISBN: (纸本)9780819483560

In article a digital system for high resolution infrared camera control and image processing is described. The camera is built with use of bolometric focal plane array of size 640 by 480 detectors. Single detector in array has size of 25 mu m and can detect incident radiation from the spectral range of 8/12 mu m thanks to the special filter installed in specially designed entrance window. The most important tasks of infrared image processing system are array readout and correction of detectors offset and responsivity variations. The next tasks of the system are conversion of analog voltage signals from microbolometers in array to digital form and then composition of a thermal image. Microbolometer array needs to be controlled via several signals. The signal generator for readout circuit is capable of changing various timing parameters like frame rate or integration time of the detector array. The changes in these parameters can be done via special set of memory mapped registers. The infrared data received from detector array is transferred via data bus to modules performing image processing, for example techniques for image enhancement. image processing algorithms necessary for infrared image generation are nonuniformity correction, bad pixel replacement and radiometric calibration. Optionally an additional image processing techniques can be performed like edge enhancement, dynamic range compression or object identification. The elaborated architecture of the system allowed easy change of parameters of the system and to adopt many new algorithms without significant hardware changes. Scientific work funded from science fund for years 2009-2011 as a development project.

关键词： image processing FPGA Infrared

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GPU Implementation of Target and Anomaly Detection algorithms for Remotely Sensed Hyperspectral image Analysis

GPU Implementation of Target and Anomaly Detection Algorithm...

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Conference on Satellite Data Compression, Communications, and processing vi

作者： Paz, Abel Plaza, Antonio Univ Extremadura Dept Technol Comp & Commun Hyperspectral Comp Lab Caceres 10071 Spain

ISBN: (纸本)9780819483065

Automatic target and anomaly detection are considered very important tasks for hyperspectral data exploitation. These techniques are now routinely applied in many application domains, including defence and intelligence, public safety, precision agriculture, geology, or forestry. Many of these applications require timely responses for swift decisions which depend upon high computing performance of algorithm analysis. However, with the recent explosion in the amount and dimensionality of hyperspectral imagery, this problem calls for the incorporation of parallel computing techniques. In the past, clusters of computers have offered an attractive solution for fast anomaly and target detection in hyperspectral data sets already transmitted to Earth. However, these systems are expensive and difficult to adapt to on-board data processing scenarios, in which low-weight and low-power integrated components are essential to reduce mission payload and obtain analysis results in (near) real-time, i.e., at the same time as the data is collected by the sensor. An exciting new development in the field of commodity computing is the emergence of commodity graphics processing units (GPUs), which can now bridge the gap towards on-board processing of remotely sensed hyperspectral data. In this paper, we describe several new GPU-based implementations of target and anomaly detection algorithms for hyperspectral data exploitation. The parallel algorithms are implemented on latest-generation Tesla C1060 GPU architectures, and quantitatively evaluated using hyperspectral data collected by NASA's AviRIS system over the World Trade Center (WTC) in New York, five days after the terrorist attacks that collapsed the two main towers in the WTC complex.

关键词： Hyperspectral imaging automatic target and anomaly detection parallel computing graphics processing units (GPUs)

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