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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1-10 订阅

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

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

引用

image processing: algorithms and systems vii

ISBN: (纸本)9780819474957

The proceedings contain 43 papers. The topics discussed include: texture preservation in de-noising UAV surveillance video through multi-frame sampling;fast geodesic distance approximation using mesh decimation and front propagation;image object removal in redundant wavelet transform domain;nonlinear mapping of the luminance in dual-layer high dynamic range displays;color enhancement in a high dynamic range environment;active contours that grow and compete driven by local region descriptors;a fast intensity based non-rigid 2D-3D-registration using statistical shape models with application in radiotherapy;a Kernel representation for exponential splines with global tension;compression of multispectral fluorescence microscopic images based on a modified set partitioning in hierarchal trees;robust measurement of the blocking artefact;and image pixel guided tours: a software platform for non-destructive X-ray imaging.

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APPLICATIONS OF DIGITAL image processing vii.

APPLICATIONS OF DIGITAL IMAGE PROCESSING VII.

引用

Applications of Digital image processing vii.

ISBN: (纸本)0892525398

The proceedings contains 57 papers. The papers are grouped under the following session headings: pattern recognition;industrial applications;hardware and systems issues;modular configurations for multiple image formats;analytical methods and concepts;enhancement and restoration;miscellaneous applications;and coding technology. Some of the specific topics discussed are: character image segmentation;novel method for the analysis of printed circuit images;quantitative analysis of microscope images;parallel processing of images in real time;and robust image matching algorithms.

关键词： image processing

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image processing benchmark study

Image processing benchmark study

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Conference on Machine Vision systems for Inspection and Metrology vii

作者： Miller, JWV Eddy, C Waltz, FM Hack, R Wood, J Stokes, D Univ Michigan Dept Elect & Comp Engn Dearborn MI 48128 USA

ISBN: (纸本)0819429821

This paper describes the benchmarking of image processing algorithms using high-performance workstations and personal desktop computers. For the various platforms evaluated which included machines from Sun, SGI, Apple, and Gateway, compiler options were varied to obtain the fastest execution times. algorithms evaluated included typical image processing operations such as derivatives, logical operations, morphology, subtraction, median filter, and the new SKIPSM approach. Data were collected using the different platforms and are presented here in tabular form. The results indicate that the latest generation of personal computers have processing capabilities that are similar to UNIX-based work stations.

关键词： benchmarking compiler optimization image processing image processing algorithms

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Efficient Detection of Ellipses from an image by a Guided Modified RANSAC

Efficient Detection of Ellipses from an Image by a Guided Mo...

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Conference on image processing - algorithms and systems vii

作者： Xie, Yingdi Ohya, Jun Waseda Univ Grad Sch GITS Tokyo Japan

ISBN: (纸本)9780819474957

In this paper, we propose a novel ellipse detection method which is based on a modified RANSAC, with automatic sampling guidance from the edge orientation difference curve. Hough Transform family is one of the most popular and methods for shape detection, but the Standard Hough Transform loses its computation efficiency if the dimension of the parameter space gets high. Randomized Hough Transform, an improved version of Standard Hough Transform has difficulty in detecting shapes from complicated, cluttered scenes because of its random sampling process. As a pre-process for random selection of five pixels to be used to build the ellipse's equation, we propose a two-step algorithm: (1) region segmentation and contour detection by mean shift algorithm (2) contour splitting based on the edge orientation difference curve obtained from the contour of each region. In each contour segment obtained by step (2), 5 pixels are randomly selected and the modified RANSAC is applied to the 5 pixels so that an accurate ellipse model is obtained. Experimental result show that the proposed method can achieve high accuracies and low computation cost in detecting multiple ellipses from an image.

关键词： image segmentation Hough transforms Detection and tracking algorithms Data modeling image processing algorithms and systems Edge detection image processing Computer vision technology Machine vision Pattern recognition

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image Restoration Regularized by a Fourth Order PDE

Image Restoration Regularized by a Fourth Order PDE

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Conference on image processing - algorithms and systems vii

作者： Ma, Wenhua You, Yu-Li Kaveh, M. Guangdong Univ Foreign Studies Sch Informat 2 Baiyundadao Guangzhou Guangdong Peoples R China Univ Minnesota Dept Elect & Comp Engn Minneapolis MN 55455 USA

ISBN: (纸本)9780819474957

A fourth order PDE is proposed as the regularization operator for image restoration in order to alleviate the "blocky" effects that frequently mar restored images regularized with anisotropic diffusion ( a second order PDE). This is motivated by its desirable property of evolving toward an image consisting of piecewise planar areas which is a less blocky and better approximation to natural images. In order to mitigate speckle artifacts that it frequently brings about, image gradient magnitude is added as an additional variable of the nonlinearity function that controls its behavior. A numerical implementation method is presented and simulation results indicate that the proposed method tend to produce restored images which are smoother in smooth areas and sharper in feature-rich areas. However, speckle artifacts need to be carefully addressed.

关键词： image restoration Anisotropic diffusion Speckle image processing Point spread functions Cameras Control systems Computer simulations image analysis image compression

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Metrics for image segmentation 7

Metrics for image segmentation

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Visual Information processing vii

作者： Rees, G Greenway, P Morray, D British Aerosp Sowerby Res Ctr Bristol Avon England

ISBN: (纸本)0819428361

An important challenge in mapping image-processing techniques onto applications is the lack of quantitative performance measures. From a systems engineering perspective these are essential if system level requirements are to be decomposed into sub-system requirements which can be understood in terms of algorithm selection and performance optimisation. Nowhere in computer vision is this more evident than in the area of image segmentation. This is a vigorous and innovative research activity, but even after nearly two decades of progress, it remains almost impossible to answer the question "what would the performance of this segmentation algorithm be under these new conditions?" To begin to address this shortcoming, we have devised a well-principled metric for assessing the relative performance of two segmentation algorithms. This allows meaningful objective comparisons to be made between their outputs. It also estimates the absolute performance of an algorithm given ground truth. Our approach is an information theoretic one. In this paper, we describe the theory and motivation of our method, and present practical results obtained from a range of state of the art segmentation methods. We demonstrate that it is possible to measure the objective performance of these algorithms, and to use the information so gained to provide clues about how their performance might be improved.

关键词： image segmentation image processing image processing algorithms and systems Cameras Machine vision Signal processing image acquisition Algorithm development Magnetorheological finishing Computer vision technology

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Progressive image decoding based on the inverse discrete cosine transform

Progressive image decoding based on the inverse discrete cos...

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Conference on Advanced Signal processing - algorithms, Architectures, and Implementations vii

作者： Winograd, JM Nawab, SH Boston Univ. (United States)

ISBN: (纸本)0819425842

A new architecture is presented for incremental computation of the two-dimensional inverse discrete cosine transform (2D-IDCT) in the context of progressive image decoding. This architecture offers advantages over existing DCT inversion techniques for systems used in conjunction with progressive image coding schemes or those that must operate in environments with severe and/or time-varying resource constraints (e.g. real-time and low-power systems). The use of a bit-serial distributed arithmetic approach comprised of parallel input-pruned 2D-IDCT processing elements enables low-quality image reconstructions to be quickly and efficiently obtained using only a subset of the DCT coefficient bit stream. Initial approximate reconstructions can be improved in subsequent stages of incremental refinement according to the availability of processing resources or DCT coefficient data. Analysis is presented of image degradation at successive stages, illustrating uniform improvement according to quantitative and perceptual criteria.

关键词： progressive image decoding discrete cosine transform incremental refinement approximate processing

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Decomposition by Series Direction images: image Reconstruction and Enhancement

Decomposition by Series Direction Images: Image Reconstructi...

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Conference on image processing - algorithms and systems vii

作者： Grigoryan, Artyom M. Univ Texas San Antonio Dept Elect & Comp Engn San Antonio TX 78249 USA

ISBN: (纸本)9780819474957

In this paper, we focus on the effective representation of the image, which is called the paired representation and reduces the image to the set of independent 1-D signals and splits the 2-D DFT into a minimal number of 1-D DFTs. The paired transform is a frequency and time representation of the image. Splitting-signals carry the spectral information in disjoint subsets of frequencies, which allows for enhancing the image by processing splitting-signals separately and changing the resolution of periodic structures composing the image. We present a new effective formula for the inverse 2-D paired transform, which can be used for solving the algebraic system of equations with measurement data for image reconstruction without using the Fourier transform technique. The image is reconstructed directly from the splitting-signals which can be calculated from projection data. The same inverse formula can be used for image enhancement, such as the known method of a-rooting. A new concept of direction images is introduced, that define the decomposition of the image by directions.

关键词： Fourier transform reconstruction from projections tensor and paired transforms

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Substitutive Steganography in the Generalized Fibonacci Domain

Substitutive Steganography in the Generalized Fibonacci Doma...

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Conference on image processing - algorithms and systems vii

作者： Mammi, E. Battisti, F. Carli, M. Neri, A. Egiazarian, K. Univ Roma TRE Dept Appl Elect Rome Italy Tampere Univ Technol Dept Singal Proc Tampere Finland

ISBN: (纸本)9780819474957

In this contribution the robustness of a novel steganographic scheme based on the generalized Fibonacci sequence against Chi-square attacks is investigated. In essence, an image is first represented in a basis defined by a generalized Fibonacci sequence. Then the secret data are inserted by substitution technique into selected bit planes preserving the first order distributions, and finally, the inverse Fibonacci decomposition is applied to obtain the stego-image. Secret data are scrambled before the embedding to improve the security of the whole system. In order to perform Chi-square attacks, the knowledge of both the parameters determining the binary Fibonacci representation of an image is assumed. Experimental results show that no visual impairments are introduced and the probability of detecting the presence of hidden data is small even if a modest capacity loss is present.

关键词： Binary data Steganography Visualization Digital watermarking image processing Computer security Data hiding image restoration image segmentation Electronics

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Robustness and Security Assessment of image Watermarking Techniques by a Stochastic Approach

Robustness and Security Assessment of Image Watermarking Tec...

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Conference on image processing - algorithms and systems vii

作者： Conotter, V. Boato, G. Fontanari, C. De Natale, F. G. B. Univ Trent Dept Comp Sci & Informat Engn Via Sommar 14 I-38100 Trento Italy Univ Trent Dept Math I-38100 Trento Italy

ISBN: (纸本)9780819474957

In this paper we propose to evaluate both robustness and security of digital image watermarking techniques by considering the perceptual quality of un-marked images in terms of Weightened PSNR. The proposed tool is based on genetic algorithms and is suitable for researchers to evaluate robustness performances of developed watermarking methods. Given a combination of selected attacks, the proposed framework looks for a fine parameterization of them ensuring a perceptual quality of the un-marked image lower than a given threshold. Correspondingly, a novel metric for robustness assessment is introduced. On the other hand, this tool results to be useful also in those scenarios where an attacker tries to remove the watermark to overcome copyright issues. Security assessment is provided by a stochastic search of the minimum degradation that needs to be introduced in order to obtain an un-marked version of the image as close as possible to the given one. Experimental results show the effectiveness of the proposed approach.

关键词： Digital Watermarking Genetic algorithms

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