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

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BISTATIC SAR image FORMATION: A SYSTEMATIC APPROACH

BISTATIC SAR IMAGE FORMATION: A SYSTEMATIC APPROACH

引用

IEEE International Geoscience and Remote Sensing Symposium

作者： Marc Rodriguez-Cassola Pau Prats-Iraola Gerhard Krieger Andreas Reigber Alberto Moreira Microwaves and Radar Institute German Aerospace Center (DLR)

In this paper, we provide a systematic overview on bistatic SAR image formation for arbitrary platform trajectories. Bistatic SAR may offer improved flexibility, performance and cost-efficiency if compared to monostatic SAR systems certainly at the expense of increased operational complexity. In the previous years, the road from experimental to operational bistatic radar systems has been paved with the launch of TanDEM-X [1], the first bistatic SAR in space. Future bistatic SAR systems will encompass multistatic constellations and formations with large baselines capable of delivering novel Earth observation products with improved performance and coverage. In this context, efficiency and accuracy in bistatic SAR image formation becomes an important challenge, asking for the development of suitable signal processing algorithms. This paper describes first the relevant developments on bistatic SAR image formation. The validity and shortcomings of previously suggested approaches for different bistatic geometries is systematically discussed. An overview on bistatic SAR image formation is provided, stressing those key techniques and algorithms which, in our opinion, are applicable in future operational systems and missions;the theoretical background is complemented by results from multiple pioneering airborne, spaceborne, and hybrid air-/spaceborne bistatic SAR experiments conducted at DLR over the past decade.

关键词： Synthetic aperture radar Spaceborne radar Approximation methods Remote sensing Azimuth Geometry

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3D video streaming transmission over OFDMA-based systems

3D video streaming transmission over OFDMA-based systems

引用

IEEE International Conference on image processing

作者： v. Monteiro Kazi M. S. Huq S. Mumtaz H. Marques C. Thomos T. Dagiuklas J. Rodriguez University of Kingston United Kingdom Univcrsidadc de Aveiro/lnstituto de Telecomunicações Portugal University of Patras Greece

Coordinated Multipoint systems (CoMP) have spurred considerable research activity in recent years as they enable both capacity and coverage improvement over conventional cellular systems with open issues in the design of radio resource management algorithms for this type of systems with the challenge of multiple sub-carriers resources available in the OFDMA (orthogonal frequency division multiple access) based systems. To partially solve these issues this paper proposes a user scheduling and resource allocation algorithm for distributed broadband wireless systems based on OFDMA (orthogonal frequency division multiple access) for the 3D video streaming service. The study considers a Manhattan network which is one of the most promising scenarios for CoMP. The algorithm combines the concepts of maximum carrier-to-interference scheduling and antenna selection to increase throughput and ensure zero intra-cell interference. The results show that the use of CoMP can provide significant advantages over conventional deployments in the 3D video streaming services.

关键词： Computer architecture Streaming media Three-dimensional displays Microprocessors Resource management Antennas Throughput

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Realization of processing blocks of CNN based CASA system on CPU and FPGA

Realization of processing blocks of CNN based CASA system on...

引用

IEEE International Symposium on Circuits and systems (ISCAS)

作者： O. Levent Şavkay Evren Cesur Nerhun Yıldız Müştak E. Yalçın vedat Tavşanoğlu Istanbul Teknik Universitesi Istanbul TR Department of Electronics and Communications Engineering Yildiz Technical University Istanbul Turkey Yildiz Teknik Universitesi Istanbul TR Department of Electrical and Electronics Engineering Işrk University Istanbul Turkey

In this paper, hardware optimization of the preprocessing and software implementation of the processing blocks of a computer-aided semen analysis (CASA) system are proposed, which is also implemented on an FPGA and ARM device as a working prototype. The software implementation of the track initialization, track maintenance, data validation and classification blocks of the processing part are implemented on a Zynq7000 ARM Cortex-A9 processor. In the preprocessing part, a real-time cellular neural network (CNN) emulator (RTCNNP-v2) is used for the realization of the image processing algorithms, whose regular, flexible and reconfigurable infrastructure simplifies the prototyping process. The CASA system introduced in this paper is capable of processing full-HD 1080p@60 (1080 × 1920) video images in real-time.

关键词： Field programmable gate arrays Software Microprocessors Prototypes image processing Algorithm design and analysis Microscopy

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Advanced structured prediction /

Advanced structured prediction /

引用

丛书名： Neural information processing series

2014年

作者： Nowozin Sebastian

ISBN: (数字)9780262028370

ISBN: (纸本)9780262028370

The goal of structured prediction is to build machine learning models that predict relational information that itself has structure, such as being composed of multiple interrelated parts. These models, which reflect prior knowledge, task-specific relations, and constraints, are used in fields including computer vision, speech recognition, natural language processing, and computational biology. They can carry out such tasks as predicting a natural language sentence, or segmenting an image into meaningful components. These models are expressive and powerful, but exact computation is often intractable. A broad research effort in recent years has aimed at designing structured prediction models and approximate inference and learning procedures that are computationally efficient. This volume offers an overview of this recent research in order to make the work accessible to a broader research community. The chapters, by leading researchers in the field, cover a range of topics, including research trends, the linear programming relaxation approach, innovations in probabilistic modeling, recent theoretical progress, and resource-aware *** Nowozin is a Researcher in the Machine Learning and Perception group (MLP) at Microsoft Research, Cambridge, England. Peter v. Gehler is a Senior Researcher in the Perceiving systems group at the Max Planck Institute for Intelligent systems, Tbingen, Germany. Jeremy Jancsary is a Senior Research Scientist at Nuance Communications, vienna. Christoph H. Lampert is Assistant Professor at the Institute of Science and Technology Austria, where he heads a group for Computer vision and Machine Learning. Contributors Jonas Behr, Yutian Chen, Fernando De La Torre, Justin Domke, Peter v. Gehler, Andrew E. Gelfand, Sbastien Gigure, Amir Globerson, Fred A. Hamprecht, Minh Hoai, Tommi Jaakkola, Jeremy Jancsary, Joseph Keshet, Marius Kloft, vladimir Kolmogorov, Christoph H. Lampert, Franois Laviolette, Xinghua Lou, Mario Marchand, Andr F.

关键词： Data structures (Computer science) Computer algorithms. Machine learning.

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Multi-Operator Combination for Character Segmentation in Complex Background

Multi-Operator Combination for Character Segmentation in Com...

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International Conference on Audio, Language and image processing

作者： Yuchun FANG Jialu YAO School of Computer Engineering and Science Shanghai University

ISBN: (纸本)9781479939046

Automatic character segmentation is the first most fundamental and crucial step for the Optical Character Recognition (OCR) system. Though there have been a lot mature commercial OCR systems for controlled environment, the techniques of OCR are not as popular as expected for the complex uncontrolled environment. The bottleneck is character segmentation from noisy background. In this paper, we propose a multi-operator combined character segmentation algorithm to partition the characters from complex background. To handle the uncontrolled lighting condition, we propose a localized Canny operator for pre-edge detection and refine it with the Compass operator to promote the accuracy of edge detection under complex background. The proposed algorithm involves the advantage of the localized Canny operator in speed and the advantage of Compass Operator in accuracy. By comparing with other algorithms and analyzing the performance of the proposed algorithm, it can be concluded that our algorithm can achieve a better result of character segmentation in complex scenarios.

关键词： Optical Character Recognition image segmentation Character segmentation Edge detection Compass Operator

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Text Segmentation in vintage Floor Plans and Maps Using visual Perception

Text Segmentation in Vintage Floor Plans and Maps Using Visu...

引用

IEEE International Conference on systems, Man, and Cybernetics

作者： C. A. B. Mello S. C. S. Machado Centro de Informatica Universidade Federal de Pernambuco

ISBN: (纸本)9781479938414

Floor plans and maps are types of graphical documents which have similar features as both of them have their information described through text and drawings for example. This paper presents a new algorithm for text segmentation in images of vintage floor plans and topographic maps. The algorithm is divided into: background removal, thresholding, histogram equalization, connected component analysis, lines removal, noise removal, and restoration. The experiments were conducted in a dataset of real old floor plans and maps from different ages and the results are faster and better than other algorithms.

关键词： image segmentation Floor plans Topographic maps vintage documents image processing visual perception

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Fuzzy measures of pixel cluster compactness

Fuzzy measures of pixel cluster compactness

引用

IEEE International Conference on Fuzzy systems

作者： Gleb Beliakov Gang Li Huy Quan vu Tim Wilkin School of Information Technology Deakin University Australia

Pixel-scale fine details are often lost during image processing tasks such as image reduction and filtering. Block or region based algorithms typically rely on averaging functions to implement the required operation and traditional function choices struggle to preserve small, spatially cohesive clusters of pixels which may be corrupted by noise. This article proposes the construction of fuzzy measures of cluster compactness to account for the spatial organisation of pixels. We present two construction methods (minimum spannning trees and fuzzy measure decomposition) to generate measures with specific properties: monotonicity with respect to cluster size;invariance with respect to translation, reflection and rotation;and, discrimination between pixel sets of fixed cardinality with different spatial arrangements. We apply these measures within a non-monotonic mode-like averaging function used for image reduction and we show that this new function preserves pixel-scale structures better than existing monotonic averages.

关键词： Shape Shape measurement Rotation measurement Noise Context Weight measurement image resolution

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Automatic optic disc detection in digital fundus images using image processing techniques

Automatic optic disc detection in digital fundus images usin...

引用

International Conference on Information Communication and Embedded systems (ICICES)

作者： Snehal B. Akhade v. U. Deshmukh S. B. Deosarkar Department of Electronics and Telecommunication Engineering VPCOE Baramati (University of Pune) Baramati India

Optic disc (OD) is an important part of the eye. In developing systems, automatic OD detection is an important step for automated diagnosis of various serious ophthalmic diseases like Diabetic retinopathy, Glaucoma and hypertension, etc. The variation of intensity within the OD and intensities close to the OD boundary are the major hurdle in automated OD detection. General edge detection algorithms are frequently unsuccessful to segment the OD because of this. Complexity increases due to the presence of blood vessels. This paper presents a simple method for OD segmentation by using techniques like Principal Component Analysis (PCA), Mathematical Morphology and Circular Hough Transform. PCA used for good presentation of the input image and mathematical morphology is used to remove blood vessels from the image. Circular Hough Transform is used for boundary segmentation.

关键词： image segmentation Optical imaging Optical filters Integrated optics Principal component analysis Blood vessels Biomedical imaging

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Texture image classification based on using descriptor of indexes

Texture image classification based on using descriptor of in...

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International Conference on Signal processing Proceedings (ICSP)

作者： A.I. Sherstobitov D.v. Timofeev v.I. Marchuk v.v. voronin v.P. Fedosov Dept. of Radio Electronics Systems Don State Technical University

A texture descriptor based on a set of indices of degrees of local approximating polynomials is proposed in this paper. An image is split into non-overlapping patches, reshaped into one-dimensional source vectors and convolved with the polynomial approximation kernels of various degrees p. As a result, a set of approximations is obtained. For each element of the source vector, these approximations are ranked according to the difference between the original and approximated values. A set of indices of polynomial degrees form a local feature. This procedure is repeated for each pixel from the local area. Finally, a proposed texture descriptor is obtained from the frequency histogram of all obtained local features. A nearest neighbor classifier utilizing correlation distance metric is used to evaluate a performance of the introduced descriptor. An accuracy of texture classification is evaluated on the Brodatz dataset, with respect to different methods of texture analysis and classification. The results of this comparison show that the proposed method is competitive with the recent statistical approaches such as local binary patterns (LBP), local ternary patterns, completed LBP, Weber's local descriptor, and vZ algorithms (vZ-MR8 and vZ-Joint).

关键词： Approximation methods Polynomials Accuracy Databases vectors Kernel Support vector machine classification

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Mapping of mineral deposits using image fusion by PCA approach

Mapping of mineral deposits using image fusion by PCA approa...

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International Conference on Computer and Communications Security (ICCCS)

作者： S. Rajalakshmi v. vijaya Chamundeeswari DEPT OF CSE VELAMMAL ENGINEERING COLLEGE Velammal Engineering College Chennai Tamil Nadu IN

Earth Observation using Satellite imagery is a challenging tool for analysis but is proved an effective tool in offering a wide coverage. Satellite imagery is an important economical tool in accessing mineral exploration. Mineral mapping using satellite image processing is a large scale approach to exploit available minerals in the earth's crust. There are various satellite sensors to imply the presence of minerals. Each sensor has its own characteristics. Data fusion is the method of collecting and combining data from multiple sensors. In Geographic information systems, various data are used for spatial decision making. The relation between different set of data can be denoted in matrix format and its properties are used by analysing various algorithms. image fusion is used for combining the significant features which are captured by various image sensors. image sharpening, feature enhancement and image classification can be established using image Fusion algorithms. image fusion can be applied at various levels like decision, feature, and pixel level. Mineral exploration is done on the decision and feature level in GIS. In this paper, Principal component analysis method (PCA) was used for combining multi-source and multi-scale geo-information at pixel level for Hyperion and ALI data. Hybrid image is obtained by combining the values of pixels which is spatially based for different set of images and thus generated image is used for extracting the information or classification. Results obtained in this paper give the distribution which is of spatially based for mineral deposits in the study region with the help of AO-1 Hyperion and ALI data.

关键词： Minerals Principal component analysis Satellites Sensor phenomena and characterization Earth Remote sensing

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