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

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

引用

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

引用

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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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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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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Active Contours that Grow and Compete Driven by Local Region Descriptors

Active Contours that Grow and Compete Driven by Local Region...

引用

Conference on image processing - algorithms and systems vii

作者： Darolti, Cristina Barth, Erhardt Bodensteiner, Christoph Hofmann, Ulrich G. Med Univ Lubeck Inst Signal Proc D-23538 Lubeck Germany Med Univ Lubeck Inst Bioinformat D-23538 Lubeck Germany Med Univ Lubeck Inst Robot D-23538 Lubeck Germany

ISBN: (纸本)9780819474957

Region-based active contours are a variational framework for image segmentation. It involves estimating the probability distributions of observed features within each image region. Subsequently, these so-called region descriptors are used to generate forces to move the contour toward real image boundaries. In this paper region descriptors are computed from samples within windows centered on contour pixels and they are named local region descriptors (LRDs). With these descriptors we introduce an equation for contour motion with two terms: growing and competing. This equation yields a novel type of AC that can adjust the behavior of contour pieces to image patches and to the presence of other contours. The quality of the proposed motion model is demonstrated on complex images.

关键词： image segmentation active contours local region descriptors

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On the Use of the Stockwell Transform for image Compression

On the Use of the Stockwell Transform for Image Compression

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Conference on image processing - algorithms and systems vii

作者： Wang, Yanwei Orchard, Jeff Univ Waterloo Dept Appl Math 200 Univ Ave W Waterloo ON N2L 3G1 Canada Univ Waterloo David R Cheriton Sch Comp Sci Waterloo ON N2L 3G1 Canada

ISBN: (纸本)9780819474957

In this paper, we investigate the use of the Stockwell Transform for image compression. The proposed technique uses the Discrete Orthogonal Stockwell Transform (DOST), an orthogonal version of the Discrete Stockwell Transform (DST). These mathematical transforms provide a multiresolution spatial-frequency representation of a signal or image. First, we give a brief introduction for the Stockwell transform and the DOST. Then we outline a simplistic compression method based on setting the smallest coefficients to zero. In an experiment, we use this compression strategy on three different transforms: the Fast Fourier transform, the Daubechies wavelet transform and the DOST. The results show that the DOST outperforms the two other methods.

关键词： image coding spatial-frequency representation DOST multiresolution Daubechies wavelets

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Hyper-Spectral image Segmentation Using Spectral Clustering With Covariance Descriptors

Hyper-Spectral Image Segmentation Using Spectral Clustering ...

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Conference on image processing - algorithms and systems vii

作者： Kursun, Olcay Karabiber, Fethullah Koc, Cemalettin Bal, Abdullah Bahcesehir Univ Dept Comp Engn Istanbul TR-34349 Turkey Istanbul Univ Dept Comp Engn Istanbul TR-34320 Turkey Gebze Inst Technol Dept Comp Engn Gebze TR-41400 Turkey Yildiz Tech Univ Dept Elect Engn Istanbul TR-34349 Turkey

ISBN: (纸本)9780819474957

image segmentation is an important and difficult computer vision problem. Hyper-spectral images pose even more difficulty due to their high-dimensionality. Spectral clustering (SC) is a recently popular clustering/segmentation algorithm. In general, SC lifts the data to a high dimensional space, also known as the kernel trick, then derive eigenvectors in this new space, and finally using these new dimensions partition the data into clusters. We demonstrate that SC works efficiently when combined with covariance descriptors that can be used to assess pixelwise similarities rather than in the high-dimensional Euclidean space. We present the formulations and some preliminary results of the proposed hybrid image segmentation method for hyper-spectral images.

关键词： segmentation clustering hyper-spectral

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Application of SGRBF for Level-Set Based image Segmentation

Application of SGRBF for Level-Set Based Image Segmentation

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Conference on image processing - algorithms and systems vii

作者： Zhu, Yingxuan Shin, Miyoung Goel, Amrit L. Syracuse Univ Dept Elect Engn & Comp Sci Syracuse NY 13244 USA Kyungpook Natl Univ Sch Elect Engn & Comp Sci Daegu 702701 South Korea

ISBN: (纸本)9780819474957

In this study, the radial basis functions based SG algorithm (SGRBF) is applied for evolution of level sets in image segmentation. The implementation of level set method in image processing often involves solving partial differential equations (PDEs). Finite differences implicit scheme is a prevalent method to solve PDE for extending the evolution of level sets. Instead of using finite differences method, SGRBF is used in our study for evolving level sets. The SGRBF is a mathematical framework developed for function approximation using Gaussian RBFs. In SGRBF, the number and centers of the basis functions are determined in a systematic and mathematically sound way using a purely algebraic approach. The numerical results show that, except for a continuous representation of both the implicit function and its level sets, the algorithm we introduce here can reduce the computation cost by selecting the most contributive centers for radial basis functions.

关键词： image segmentation level-set methods active contours radial basis functions SGRBF

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image Pixel Guided Tours: A Software Platform for Non-Destructive X-ray Imaging

Image Pixel Guided Tours: A Software Platform for Non-Destru...

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Conference on image processing - algorithms and systems vii

作者： Lam, K. P. Emery, R. Univ Keele Sch Comp & Math Keele ST5 5BG Staffs England

ISBN: (纸本)9780819474957

Multivariate analysis seeks to describe the relationship between an arbitrary number of variables. To explore high-dimensional data sets, projections are often used for data visualisation to aid discovering structure or patterns that lead to the formation of statistical hypothesis. The basic concept necessitates a systematic search for lower-dimensional representations of the data that might show interesting structure(s). Motivated by the recent research on the image Grand Tour (IGT), which can be adapted to view guided projections by using objective indexes that are capable of revealing latent structures of the data, this paper presents a signal processing perspective on constructing such indexes under the unifying exploratory frameworks of Independent Component Analysis (ICA) and Projection Pursuit ( PP). Our investigation begins with an overview of dimension reduction techniques by means of orthogonal transforms, including the classical procedure of Principal Component Analysis (PCA), and extends to an application of the more powerful techniques of ICA in the context of our recent work on non-destructive testing technology by element specific x-ray imaging.

关键词： Orthogonal Transforms Projectors Projection Indexes Grand Tour PCA FastICA Negentropy

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