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检索条件"任意字段=16th Brazilian Symposium on Computer Graphics and Image Processing, SIBGRAPI 2003"

共 108 条记录，以下是101-110 订阅

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2-D histogram-based segmentation of postal envelopes

2-D histogram-based segmentation of postal envelopes

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brazilian symposium on computer graphics and image processing (sibgrapi)

作者： E.A. Yonekura J. Facon Pontíficia Universidade Católica do Paraná PUCPR Curitiba Parana Brazil

Mail sorting automation is yet a partially solved challenge. Due to no fixed positions of the semantic information in envelope images, part of this challenge is the automatic location of address blocks. We approach this problem by proposing a new postal envelope segmentation method based on 2D histogram clustering and watershed transform. Segmentation task consists in detecting the 2D histogram modes associated with homogeneous regions in envelope. A new filter used for 2D histogram calculation is proposed. the homogeneous modes in 2D histogram are segmented through the morphological watershed transform. Our approach is applied to complex postal envelopes. Very little a priori knowledge of the envelope images is required. the advantages of this approach are described and illustrated with tests carried out on 300 different images where there are no fixed position for the handwritten address block, postmarks and stamps. A groundtruth strategy is employed to evaluate the accuracy of segmentation.

关键词： image segmentation Postal services Histograms Gabor filters Filtering Spatial databases Sorting image databases Automation Envelope detectors

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Regularized pel-recursive motion estimation using generalized cross-validation and spatial adaptation

Regularized pel-recursive motion estimation using generalize...

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brazilian symposium on computer graphics and image processing (sibgrapi)

作者： V. Estrela L.A. Rivera P.C. Beggio R.T. Lopes LCMAT-CCT Grupo de Computação Científica Universidade Estadual do Norte Fluminense Campos Rio de Janeiro Brazil Laboratório de Instrumentação Nuclear EE/COPPE/ UFRJ Rio de Janeiro Brazil

the computation of 2D optical flow by means of regularized pel-recursive algorithms raises a host of issues, which include the treatment of outliers, motion discontinuities and occlusion among other problems. We propose a new approach which allows us to deal with these issues within a common framework. Our approach is based on the use of a technique called generalized cross-validation to estimate the best regularization scheme for a given pixel. In our model, the regularization parameter is a matrix whose entries can account for diverse sources of error. the estimation of the motion vectors takes into consideration local properties of the image following a spatially adaptive approach where each moving pixel is supposed to have its own regularization matrix. Preliminary experiments indicate that this approach provides robust estimates of the optical flow.

关键词： Motion estimation image motion analysis Optical computing Pixel Vectors Optical sensors image processing Interpolation Optical noise Instruments

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An image retrieval method based on factor analysis

An image retrieval method based on factor analysis

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brazilian symposium on computer graphics and image processing (sibgrapi)

作者： A.M.C. Machado C.N.J. Marinho Pontifícia Universidade Católica de Minas Gerais Belo Horizonte MG Brasil Mário Fernando Montenegro Campos Universidade Federal de Minas Gerais Belo Horizonte MG Brasil

We present a new perspective to image retrieval based on multivariate factor analysis. Modern imaging modalities provide an overwhelming amount of information that cannot be appropriately handled without computerized tools. image retrieval methods aim to retrieve relevant images from a collected database, based on their content. the problem is made more difficult due to the high dimension of the variable space in which the images are represented. Factor analysis is able to minimize data redundancy and reveal hidden patterns. the characterization of complex features such as shape can be performed in a new lower-dimensional basis, in which the variables account for the correlation among regions of interest. the similarity between images is computed based on a set of vector variables obtained from image registration. Relevance feedback is used to iteratively determine the importance of each factor in the similarity function. the factors that are supposed to encompass the user's preferences are implicitly detected.

关键词： image retrieval image analysis Information retrieval Content based retrieval image databases Spatial databases Pattern analysis Shape image registration Feedback

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RZSweep: a new hardware-assisted volume-rendering technique for regular datasets

RZSweep: a new hardware-assisted volume-rendering technique ...

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brazilian symposium on computer graphics and image processing (sibgrapi)

作者： Gautam Chaudhary Lakshmy Ramaswamy R. Farias University of California Irvine CA USA National Laboratory for Scientific Computing Petropolis Rio de Janeiro Brazil

A long-standing challenge in the field of volume rendering is to obtain high quality images in near real-time. this is particularly important for scientific datasets where highly precise results are required to ensure accurate data interpretation. We present RZSweep as a new hardware-assisted technique for volume rendering of regular datasets based on the plane-sweep paradigm. Although some research has been done in the past for irregular datasets, we present the first attempt to explore the capabilities of the plane sweep paradigm for regular datasets. RZSweep is an exact, object order, direct volume rendering (DVR), back-to-front projection algorithm wherein a plane sweeps through the volume in depth order, projecting all the data elements within the user specified threshold onto the image plane. the algorithm uses a hardware rendering pipeline to composite the final image. the space complexity of the algorithm is bound to the number of vertices in the largest diagonal plane of the dataset. A prototype of the algorithm renders a dataset of size 256/sup 3/ in near real-time of 0.77 seconds on a single off-the-shelf commodity hardware PC. Every data element within the specified threshold contributes to the final image in its correct spatial order that is guaranteed by the use of a heap.

关键词： Rendering (computer graphics) Transfer functions Hardware Data visualization Magnetic resonance imaging Computed tomography Positron emission tomography Lattices Laboratories Scientific computing

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Helical CT reconstruction from wide cone-beam angle data using ART

Helical CT reconstruction from wide cone-beam angle data usi...

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brazilian symposium on computer graphics and image processing (sibgrapi)

作者： B.M. Carvalho G.T. Herman Doctoral Program in Computer Science The Graduate Center City College and Graduate Center City University of New York New York NY USA

We report on new results on the use of algebraic reconstruction techniques (ART) for reconstructing from helical cone-beam computerized tomography (CT) data. We investigate two variants of ART for this task: a standard one that considers a single ray in an iterative step and a block version which groups several cone-beam projections when calculating an iterative step. Both algorithms were implemented using modified Kaiser-Bessel window functions, also known as blobs, placed on the body-centered cubic (bcc) grid. the algorithms were used to reconstruct a modified 3D Shepp-Logan phantom from data collected for the PI-geometry for two different maximum cone-beam angles (/spl plusmn/9.46/spl deg/ and /spl plusmn/18.43/spl deg/). Both scattering and quantum noise (for three different noise levels) were introduced to create noisy projections. the results presented here (for both noiseless and noisy data sets) point to the fact that, as opposed to filtered backprojection algorithms, the quality of the reconstructions produced by the ART methods does not suffer from the increase in the cone-beam angle.

关键词： Subspace constraints image reconstruction Computed tomography X-ray detection X-ray detectors Noise level Object detection Iterative algorithms X-ray imaging Sensor arrays

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Work distribution for parallel ZSweep algorithm

Work distribution for parallel ZSweep algorithm

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brazilian symposium on computer graphics and image processing (sibgrapi)

作者： R. Farias C. Bentes A. Coelho S. Guedes L. Goncalves National Laboratory for Scientific Computing LNCC Petropolis Rio de Janeiro Brazil Department of Systems Engineering State University of Rio de Janeiro Brazil Electronic Computing Center NCE Federal University of Rio de Janeiro Brazil Department of Computer Enginnering and Automation Federal University of Rio Grande do Norte Brazil

Distributed systems such as clusters of PCs are low-cost alternatives for running parallel rendering systems, but they have high communication overhead, and limited memory capacity on each processing node. We focus on the strategy for distributing the parallel rendering work among the PCs. A good distribution strategy provides better load balance, and avoids the need for replicating data on the relatively small memory of each PC. Our goal is to study different distribution strategies on the scope of the Parallel ZSweep algorithm, introducing in PZSweep another work distribution strategy: work stealing. this strategy allows a decentralized control of the work to be done, and provides a dynamic load redistribution. We propose two different algorithms to select the processor that will be "stolen" and show that the simplest one, nearest neighbor, was the most efficient. We also showed that the load redistribution schemes strongly depended on the initial load distribution, with an interleaved assignment, our systems could outperform the original parallel ZSweep algorithm. We conclude that for running large datasets on a cluster of PCs, parallel ZSweep requires dynamic load distribution strategy.

关键词： Personal communication networks Distribution strategy Clustering algorithms Costs Laboratories Scientific computing Systems engineering and theory Automation Distributed control Nearest neighbor searches

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Blood vessels segmentation in nonmydriatic images using wavelets and statistical classifiers

Blood vessels segmentation in nonmydriatic images using wave...

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brazilian symposium on computer graphics and image processing (sibgrapi)

作者： J.J.G. Leandro J.V.B. Soares R.M. Cesar H.F. Jelinek Department of Computer Science Institute of Mathematics and Statistics-USP Sao Paulo Brazil School of Community Health Charles Sturt University Albury Australia

this work describes a new framework for automatic analysis of optic fundus nonmydriatic images, focusing on the segmentation of the blood vessels by using pixel classification based on pattern recognition techniques. Each pixel is represented by a feature vector composed of color information and measurements at different scales taken from the continuous wavelet (Morlet) transform as well as from mean and order filtering applied to the green channel. the major benefit resulting from the wavelet application to the optic fundus images is its multiscale analysing capability in tuning to specific frequencies, thus allowing noise filtering and blood vessel enhancement in a single step. Supervised classifiers are then applied to label each pixel as either a vessel or a nonvessel. Two different strategies to select the training set have been devised: (1) the blood vessels of a sample image are completely drawn by hand, leading to a labeled image (i.e. vessels /spl times/ nonvessel pixels) which is used to train the classifier, to be applied to other images; (2) the vessels located in a given small portion of the target image are drawn by hand and the remaining fundus image is segmented by a classifier trained using the hand-drawn portion to define the training set. the latter strategy is particularly suitable for the implementation of a semiautomated software to be used by health workers in order to avoid the need of setting imaging parameters such as thresholds. Both strategies have been extensively assessed and several successful experimental results using real-case images have been obtained.

关键词： Blood vessels Biomedical imaging image segmentation Optical filters image analysis Pixel Continuous wavelet transforms Filtering Optical noise Pattern analysis

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image-based texture analysis for realistic image synthesis 13

Image-based texture analysis for realistic image synthesis

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13th brazilian symposium on computer graphics and image processing, sibgrapi 2000

作者： Mayer, Heinz Computer Graphics Vision Graz University of Technology Inffeldgasse 16/II GrazA-8010 Austria

ISBN: (纸本)0769508782

We present a method to measure reflectance and texture of surfaces in a one step process. For later use in digital image synthesis it is mandatory to separate the gathered intensity values into these two parts to eliminate highlighting artifacts from textures. Our image-based measurement system delivers bidirectional reflectance distribution function (BRDF) values distributed over the surface of the material under investigation. After fitting a reflectance model to the gathered data we estimate the modulation of the diffuse reflectance coefficient which represents the texture. the last step analyzes the texture to get a parameterized and compact description of the measured surface properties. these results allow us to apply the gathered surface properties to objects with arbitrary shape and size. To keep the measurement system simple a standard CCD camera and light source are used. © 2000 IEEE.

关键词： Reflection

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