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

共 86 条记录，以下是31-40 订阅

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Semantic Home Video Categorization

Semantic Home Video Categorization

引用

Conference on image processing - algorithms and systems vii

作者： Min, Hyun-Seok Lee, Young Bok De Neve, Wesley Ro, Yong Man Informat & Commun Univ Image & Video Syst Lab Taejon 305732 South Korea

ISBN: (纸本)9780819474957

Nowadays, a strong need exists for the efficient organization of an increasing amount of home video content. To create an efficient system for the management of home video content, it is required to categorize home video content in a semantic way. So far, a significant amount of research has already been dedicated to semantic video categorization. However, conventional categorization approaches often rely on unnecessary concepts and complicated algorithms that are not suited in the context of home video categorization. To overcome the aforementioned problem, this paper proposes a novel home video categorization method that adopts semantic home photo categorization. To use home photo categorization in the context of home video, we segment video content into shots and extract key frames that represent each shot. To extract the semantics from key frames, we divide each key frame into ten local regions and extract low-level features. Based on the low level features extracted for each local region, we can predict the semantics of a particular key frame. To verify the usefulness of the proposed home video categorization method, experiments were performed with home video sequences, labeled by concepts part of the MPEG-7 VCE2 dataset. To verify the usefulness of the proposed home video categorization method, experiments were performed with 70 home video sequences. For the home video sequences used, the proposed system produced a recall of 77% and an accuracy of 78%.

关键词： Home video categorization image categorization support vector machines (SVM)

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image exploitation algorithms for reconnaissance and surveillance with UAV

Image exploitation algorithms for reconnaissance and surveil...

引用

Conference on Airborne Intelligence, Surveillance, Reconnaissance (ISR) systems and Applications vii

作者： Heinze, N. Esswein, M. Krueger, W. Saur, G. Fraunhofer IOSB D-76131 Karlsruhe Germany

ISBN: (纸本)9780819481320

UAV have a growing importance for reconnaissance and surveillance. Due to improved technical capability also small UAVs have an endurance of about 6 hours, but less sophisticated sensors due to strong weight limitations. This puts a high strain and workload on the small teams usually deployed with such systems. To lessen the strain for photo interpreters and to improve the capability of such systems we have developed and integrated automatic image exploitation algorithms. An import aspect is the detection of moving objects to give the photo interpreter (PI) hints were such objects are. Mosaiking of imagery helps to gain better oversight over the scene. By computing stereo-mosaics from mono-ocular video-data also 3-d-models can be derived from tactical UAV-data in a further processing step. A special instrument of gaining oversight is to use multi- temporal and multifocal images of video-sensors with different resolution of the platform and to fusion them into one image. This results in a good situation awareness of the scene with a lightweight sensor-platform and a standard video link.

关键词： Video exploitation LUNA UAV Mosaiking MiSAR video stabilization super-resolution multi-resolution MTI

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Robust image Retrieval from Noisy Inputs using Lattice Associative Memories

Robust Image Retrieval from Noisy Inputs using Lattice Assoc...

引用

Conference on image processing - algorithms and systems vii

作者： Urcid, Gonzalo Angel Nieves-, Jose, V Garcia-A, Anmi Carlos Valdiviezo-N, Juan INAOE Dept Opt Puebla 72000 Mexico

ISBN: (纸本)9780819474957

Lattice associative memories also known as morphological associative memories are fully connected feedforward neural networks with no hidden layers, whose computation at each node is carried out with lattice algebra operations. These networks are a relatively recent development in the field of associative memories that has proven to be an alternative way to work with sets of pattern pairs for which the storage and retrieval stages use minimax algebra. Different associative memory models have been proposed to cope with the problem of pattern recall under input degradations, such as occlusions or random noise, where input patterns can be composed of binary or real valued entries. In comparison to these and other artificial neural network memories, lattice algebra based memories display better performance for storage and recall capability;however, the computational techniques devised to achieve that purpose require additional processing or provide partial success when inputs are presented with undetermined noise levels. Robust retrieval capability of an associative memory model is usually expressed by a high percentage of perfect recalls from non-perfect input. The procedure described here uses noise masking defined by simple lattice operations together with appropriate metrics, such as the normalized mean squared error or signal to noise ratio, to boost the recall performance of either the min or max lattice auto-associative memories. Using a single lattice associative memory, illustrative examples are given that demonstrate the enhanced retrieval of correct gray-scale image associations from inputs corrupted with random noise.

关键词： Gray-scale image associations image noise masking lattice associative memories morphological neural networks

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Nonlinear Manifold Based Discriminant Analysis for Face Recognition

Nonlinear Manifold Based Discriminant Analysis for Face Reco...

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Conference on image processing - algorithms and systems vii

作者： Sankaran, Praveen Asari, Vijayan K. Old Dominion Univ Computat Intelligence & Machine Vis Lab Norfolk VA 23529 USA

ISBN: (纸本)9780819474957

Manifolds are mathematical spaces whose points have Euclidean neighborhoods, but whose global structure could be more complex. A one dimensional manifold has a neighborhood that resembles a line. A two dimensional one resembles a plane. If we consider a one dimensional example, most system neighborhoods cannot be represented optimally by a straight line. A multi-ordered nonlinear line would be better suited to represent most data. A learning algorithm to model the pipeline, based on Fischer Linear Discriminant (FLD), using least squares estimation is presented in this paper. Face patterns are known to show continuous variability. Yet face images of one individual tend to cluster together and can be considered as a neighborhood. Such similar patterns form a pipeline in state space that can be used for pattern classification. Multiple patterns can be trained by having separate lines for each pattern. Face points are now projected onto a low-dimensional mean nonlinear pipe-line, thus providing an easy intuitive way to place new points. Given a test point/face, the classification problem is now simplified to checking the nearest neighbors. This can be done by finding the minimum distance pipe-line from the test-point. The proposed representation of a face image results in improved accuracy when compared to the classical point representation.

关键词： Matrices Facial recognition systems Neurons Ferroelectric LCDs Principal component analysis Data modeling Databases image classification Algorithm development Neural networks

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Enhancing image quality produced by IR cameras

Enhancing image quality produced by IR cameras

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Conference on Electro-Optical and Infrared systems - Technology and Applications vii

作者： Dulski, R. Powalisz, P. Kastek, M. Trzaskawka, P. Mil Univ Technol Inst Optoelect PL-00908 Warsaw Poland

ISBN: (纸本)9780819483522

images produced by IR cameras are a specific source of information. The perception and interpretation of such image greatly depends on thermal properties of observed object and surrounding scenery. In practice, the optimal settings of the camera as well as automatic temperature range control do not guarantee the displayed images is optimal from observer's point of view. The solution to this could be the methods and algorithms of digital image processing implemented in the camera. Such solution should provide intelligent, dynamic contrast control applied not only across entire image but also selectively to specific areas in order to maintain optimal visualization of observed scenery. The paper discusses problems dealing with improvement of the visibility of low-contrast objects and presents method of image enhancement. The algorithm is based on adaptive histogram equalization. The image enhancement algorithm was tested on real IR images. The algorithm significantly improves the image quality and the effectiveness of object detection for the majority of thermal images. Due to its adaptive nature it should be effective for any given thermal image. The application of such algorithm is promising alternative to more expensive opto-electronic components like improved optics and detectors.

关键词： IR imaginary image processing thermal cameras histogram equalization

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Analytic registration of spatially and spectrally disparate co-located imaging sensors achieved by matching optical flow.

Analytic registration of spatially and spectrally disparate ...

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Conference on algorithms for Multispectral, Hyperspectral, and Ultraspectral imagery vii

作者： Schuler, JM Howard, JG Scribner, DA Warren, PR Klein, RB Satyshur, MP Kruer, MR USN Res Lab Washington DC 20375 USA

ISBN: (纸本)0819440760

A multi-spectral imaging system can be defined as a combination of electro-optic imagers that are mechanically constrained to view the same scene. Subsequent processing of the output imagery invariably requires a spatial registration of one spectral band image to geometrically conform to the imagery from a different sensor. This paper outlines a procedure, to leverage motion estimation of a pair of video sequences to determine a transformation that minimizes the disparity in optical flow between the sequences.

关键词： image registration Video Optical flow image fusion Motion estimation Imaging systems Infrared imaging Infrared radiation Motion models Sensors

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High speed, on-line 4D microscopy using continuously scanning white light interferometry with a high speed camera and real-time FPGA image processing

High speed, on-line 4D microscopy using continuously scannin...

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Conference on Optical Measurement systems for Industrial Inspection vii

作者： Montgomery, P. Anstotz, F. Montagna, J. Lab Commun UDS CNRS Inst Elect Solide & Syst InESS UMR 7163 F-67037 Strasbourg France

ISBN: (纸本)9780819486783

Achieving real time 3D measurement of microscopic surfaces is difficult, mainly because of the high bandwidths required for the data acquisition by the probe or camera, the transfer to the processor and the processing. In this paper we present the results of our second prototype on-line measurement system that we have developed using continuous scanning white light interference microscopy, a high speed CMOS camera and parallel processing with an FPGA that enables data processing rates of up to 160 Mb/s. Two fringe detection algorithms have been implemented, one based on the detection of the maximum fringe intensity and the other on the maximum of the fringe modulation function. The practical performance is demonstrated on the measurement of laterally translating samples, with 3D image rates of up to 20 i/s being achieved for an image size of 256 x 320 pixels, and 2.96 i/s for an image size of 640 x 1024 pixels over a depth of 5 mu m. Depths of up to 20 mu m can be measured. On-line 4D microscopy opens up new applications for characterizing surfaces that are moving or changing in a non-periodic way with time, such as in MEMS, soft materials, layer growth or chemical reactions.

关键词： 4D microscopy High speed camera Real-time processing White light scanning interferometry FPGA transients non-periodic movement

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Transformations Volosyuk-Fourier for optimal reconstruction of radio brightness images of wideband and superwideband microwave radiometric systems

Transformations Volosyuk-Fourier for optimal reconstruction ...

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algorithms for Synthetic Aperture Radar imagery vii

作者： Volosyuk, Valerii K. Velasco Herrera, Victor M. Ponomaryov, Vladimir I. Kharkov Aviation Inst Kharkov Ukraine

In the frame of Bayes statistic criterion of optimization the processing algorithms and the structures of radiometric systems for wide-and superwide band electro-magnetic fields spatial-temporal processing are developed. The methods of imaging in multi-beam systems and in systems, that form coherence functions of decorrelated processes. The algorithms has been developed using proposed by authors VF - transforms and proved by them theorem, that are generalization of Fourier transforms and Van Zittert-Zernike theorem, respectively, for the case of wide- and superwide band wave fields spectral analysis.

关键词： image reconstruction

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Theater targets plume edge extraction and hardbody aimpoint selection (U) using morphological image processing (U)

Theater targets plume edge extraction and hardbody aimpoint ...

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Conference on Automatic Target Recognition vii

作者： Paiva, CA Naval Surface Warfare Ctr. (United States)

ISBN: (纸本)0819424846

(U) Future successful ballistic missile booster intercepts will require advanced automatic target detection, tracking, classification and identification (ADTCI) image processing techniques. Two such techniques are presented in this classified SECRET paper using the Synthetic Scene Generator Model (SSGM) in combination with the Advanced systems (AVS) image processing package. Two challenging multispectral cases are treated: 1. missile hardbody occultation by the missile exhaust plume, and 2. variable plume/hardbody system (PHS) gradient intensities generated by missile tumbling due to exiting the sensible atmosphere. The target detection,(1,2) tracking and edge extraction methods selected for this study include morphological, open-close operations within decision-level fusion for the obscuration case and pixel-level fusion for variable edge intensities. Other investigators have approached this issue on similar image processing techniques.(3,4,5) The multispectral (2.69-2.95 um SWIR;4.17-4.2, 4.35-4.50 um MWIR;and 8.0-12.0 um LWIR) target/background imagery includes SWIR/MWIR boost phase track (with occlusion problem) and LWIR aimpoint selection (with tumbling problem). The two classified missile systems are: 1. a depressed-angle submarine launched ballistic missile (SLBM) and 2. a medium range ballistic missile (MRBM). The results indicate that for 6 degrees of freedom (6 DOF) hardbodies, ATDCI geometrical pattern reference libraries should be optimized to accommodate the extreme variable gradient geometries for tumbling midcourse targets. For boost-phase missile hardbody occultation by missile exhaust plumes, segmentation and feature extraction should be implemented in each bandpass before processing to the ATDCI classifier. This study demonstrates that although the plume/hardbody system edges were extracted, the geometry of the target edge often deviated from symmetry.

关键词： Missiles image processing Long wavelength infrared Mid-IR Short wave infrared radiation Target detection Feature extraction image fusion image segmentation Detection and tracking algorithms

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Effect of noise levels of an edge image on determining the presampled modulation transfer function

Effect of noise levels of an edge image on determining the p...

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Conference on Design and Quality for Biomedical Technologies vii

作者： Wan, Wenbo Gao, Feng Zhao, Huijuan Zhang, Lixin Zhou, Zhongxing Tianjin Univ Sch Precis Instrument & Optoelect Engn Tianjin 300072 Peoples R China

ISBN: (纸本)9780819498496

The modulation transfer function (MTF) is widely used to describe the spatial resolution of x-ray imaging systems. Extensive works have been conducted to achieve accurate and precise measurement of MTF by using a slanted edge test device. The noise level of the slanted edge image is an important factor influencing the accuracy of MTF measurement. Thus in this work, a comparison study was made on the MTF measurement results obtained by using different curve fitting algorithms for ESF determination when analyzing the same image data with different noise levels. The results indicated that the averaged MTF measurement errors got increased with the decrease of the signal-to-noise ratio of the slanted edge images for all of the ESF processing algorithms. But for the same noisy slanted edge image, monotonic fitting algorithm outperformed Gaussian smoothing method or moving polynominal fitting method on MTF measurement.

关键词： modulation transfer function(MTF) edge spread function(ESF) Gaussian smoothing moving polynominal fitting monotonic fitting

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