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检索条件"任意字段=15th Brazilian Symposium on Computer Graphics and Image Processing"

共 1144 条记录，以下是91-100 订阅

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Object segmentation in image sequences by watershed from markers: A generic approach 16

Object segmentation in image sequences by watershed from mar...

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16th brazilian symposium on computer graphics and image processing

作者： Flores, FU Lotufo, RD Departamento de Informática UEM Brazil Faculdade de Engenharia Elétrica e de Computação UNICAMP Brazil

ISBN: (纸本)0769520324

In this paper we propose a generic method to interactive object segmentation in image sequences. this method consists in the extension of efficient techniques of static image segmentation to image sequences by combining them to fast motion estimation techniques. the proposed method has the following characteristics: interactivity, generality, rapid response and progressive manual edition.

关键词： Biomedical imaging image segmentation image sequences Motion estimation MPEG 4 Standard Object detection Object segmentation Tracking Video coding Video surveillance

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Cardiac image sequence analysis using a spatiotemporal frequency approach 14

Cardiac image sequence analysis using a spatiotemporal frequ...

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14th brazilian symposium on computer graphics and image processing

作者： Meyering, WI Gutierrez, MA Univ Sao Paulo Escola Politecn LEB Biomed Engn Lab BR-05508900 Sao Paulo Brazil

ISBN: (纸本)0769513301

the estimation of left ventricle motion and deformation from series of images has been an area of attention in the medical image analysis and still remains and open and challenging problem. the proper motion tracking of left ventricle wall can contribute to isolate the location and extent of ischemic or infarcted myocardium. We present a method that automatically estimates the velocity vector field for a beating heart based on the study of variation in frequency content of a time series of non-stationary images. Results obtained with this automated method in synthetic images and cardiac gated-SPECT images are presented.

关键词： Medical imaging

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An image-matching approach to protein similarity analysis

An image-matching approach to protein similarity analysis

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17th brazilian symposium on computer graphics and image processing/2nd Ibero-American symposium on computer graphics

作者： Fernandes, F Lopes, CER de Melo, RC Santoro, MM Carceroni, RL Meira, W Araújo, AD Silveira, CH Univ Fed Minas Gerais Belo Horizonte MG Brazil

ISBN: (纸本)0769522270

In this work we model the problem of identifying how close structurally two proteins are as a problem of measuring the similarity between color images that represent their contact maps, where the chromatic information encodes the chemical nature of the contacts. We study two conceptually distinct methods to measure the similarity between such contact maps: a content-based image retrieval one and another based on image registration. In experiments with contact maps constructed from the PDB, the image registration approach was able to identify with 100% precision 8 instances of a protein class mixed with 28 proteins of other classes. the content-based image retrieval approach had an accuracy only a little worse than that.

关键词： Proteins

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Improvement in SAR image classification using adaptive stack filters

Improvement in SAR image classification using adaptive stack...

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20th brazilian symposium on computer graphics and image processing (SIBGRAPI 2007)

作者： Buerni, Maria Elena Mejail, Marta Jacobo, Julio Garnbini, Juliana Univ Buenos Aires Fac Ciencias Exactas & Nat Dept Comp Ciudad UnivPabellon I C1428EGA Buenos Aires DF Argentina

ISBN: (纸本)9780769529967

Stack filters are a special case of non-linear filters. they have a good performance for filtering images with different types of noise while preserving edges and details. A stack filter decomposes an input image into several binary images according to a set of thresholds. Each binary image is filtered by a Boolean function. the Boolean function that characterizes an adaptive stack filter is optimal and is computed from a pair of images consisting of an ideal noiseless image and its noisy version. In this work the behavior of adaptive stack filters is evaluated for the classification of Synthetic Aperture Radar (SAR) images, which are affected by speckle noise. With this aim it was carried out experiment in which simulated and real images are generated and then filtered with a stack filter trained with one of them. the results of their Maximum Likelihood classification are evaluated and then are compared with the results of classifying the images without previous filtering.

关键词： Binary images

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image segmentation by tree pruning

Image segmentation by tree pruning

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17th brazilian symposium on computer graphics and image processing/2nd Ibero-American symposium on computer graphics

作者： Falcao, AX Bergo, FPG Miranda, PAV Univ Estadual Campinas Inst Comp BR-13084851 Campinas SP Brazil

ISBN: (纸本)0769522270

the image Foresting Transform (IFT) has been proposed for the design of image operators based on connectivity. the IFT reduces image processing problems into a minimum-cost path forest problem in a graph derived from the image. It has been successfully used for image filtering, segmentation, and analysis. In this work, we propose a novel image operator which solves segmentation by pruning trees of the forest. First, an IFT is applied to create an optimum-path forest whose roots are pixels selected inside a desired object. In this forest, the background consists of a few subtrees rooted at pixels on the object's boundary. these boundary pixels are identified and their subtrees are eliminated, such that the remaining forest defines the object. the tree pruning is an effective alternative to situations where image segmentation methods based on competing seeds fail. We present an interactive implementation of the tree-pruning technique, show several examples and discuss some experiments toward fully automatic segmentation.

关键词： image segmentation

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Directing the attention of a wearable camera by pointing gestures

Directing the attention of a wearable camera by pointing ges...

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19th brazilian symposium on computer graphics and image processing (SIBGRAPI 2006)

作者： de Campos, Teofilo E. Cuevas, Walterio W. Mayol Murray, David W. Univ Oxford Dept Engn Sci Parks Rd Oxford OX1 3PJ England Univ Bristol Dept Comp Sci Bristol BS8 1TH Avon England

ISBN: (纸本)0769526861

Wearable visual sensors provide views of the environment which are rich in information about the wearer's location, interactions and intentions. In the wearable domain, hand gesture recognition is the natural replacement for keyboard input. We describe a framework combining a coarse-to-fine method for shape detection and a 3D tracking method that can identify pointing gestures and estimate their direction. the low computational complexity of both methods allows a real-time implementation that is applied to estimate the user's focus of attention and to control fast redirections of gaze of a wearable active camera. Experiments have demonstrated a level of robustness of this system in long and noisy image sequences.

关键词： Digital cameras

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Adaptive image denoising in scale-space using the wavelet transform 14

Adaptive image denoising in scale-space using the wavelet tr...

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14th brazilian symposium on computer graphics and image processing

作者： Jung, CR Scharcanski, J Univ Fed Rio Grande do Sul Inst Informat BR-91501970 Porto Alegre RS Brazil

ISBN: (纸本)0769513301

this paper proposes a new method for image denoising with edge preservation, based on image multiresolution decomposition by a redundant wavelet transform. In our approach, edges are implicitly located and preserved in the wavelet domain, while noise is filtered out. At each resolution, the coefficients associated to noise and coefficients associated to edges are modeled by Gaussians, and a shrinkage function is assembled. the shrinkage functions are combined in consecutive resolution, and geometric constraints are applied to preserve edges that are not isolated. Finally, the inverse wavelet transform is applied to the modified coefficients. this method is adaptive, and performs well for images contaminated by natural and artificial noise.

关键词： denoising edge detection multiresolution analysis wavelet shrinkage

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A novel photometric motion approach 16

A novel photometric motion approach

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16th brazilian symposium on computer graphics and image processing

作者： Torreao, JRA Fernandes, JL Leitao, HCG Pontificia Univ Catolica Parana Posgrad Informat Aplicada BR-80215901 Curitiba Parana Brazil

ISBN: (纸本)0769520324

Photometric motion is a computer vision process for the estimation of shape from image sequences of dynamic scenes. It was introduced by Pentland, based on his observation that the photometric effects of motion - the intensity change of a moving point - could dominate the purely geometric ones, due to projective distortion. Here we present a novel formulation for the same shape estimation problem, whose distinctive feature is that of being based on the irradiance change, due to the motion, at a given point in the image plane, and not, as in the original proposal, at a fixed location on the moving surface. thus we obtain an easily implementable procedure which yields good-quality estimates, and which can be extended to single-input shape reconstruction.

关键词： computer vision image reconstruction image sequences Layout Motion estimation Photometry Proposals Shape Surface reconstruction Yield estimation

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A system for event related fMRI post processing 14

A system for event related fMRI post processing

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14th brazilian symposium on computer graphics and image processing

作者： Oliveira, PPD Arantes, PR Lopes, RD INCOR Inst Coracao BR-05403000 Sao Paulo SP Brazil

ISBN: (纸本)0769513301

fMRI is a non-invasive technique to evaluate brain areas related to a requested task. the event-related fMRI is one kind of its design, which permits not only spatial resolution, but also temporal correlation. this information may be more easily understood by the clinicians, if showed in a dynamic way. the aim of this paper is to describe a fMRI visualization system to expose the brain images, in the best view to stand out the areas of activity as long as they appear. It will empower the technique, not only to impress the clinicians, but also to enhance the importance of temporal connectivities. this system will be a module of the CAVERNA virtual reality.

关键词： Virtual reality

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An interactive algorithm for image denoising and segmentation 14

An interactive algorithm for image denoising and segmentatio...

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14th brazilian symposium on computer graphics and image processing

作者： de Andrade, MC Vemuri, BC Ctr Desenvolvimento Tecnol Nucl Belo Horizonte MG Brazil

ISBN: (纸本)0769513301

this paper presents an interactive algorithm for image denoising and segmentation. A global competition criterion is used to impose an order of processing on all image pixels. the smoothing step employs an evolution equation controlled by the local curvature to denoise the image while preserving the features. the interactive segmentation step requires the user to select one definitive seed per region. Region growing is initiated around provisory seeds, which are automatically detected, labeled and eventually merged by the algorithm. A simple merging mechanism is used to handle the topological transformations required to remove the image over-segmentation. It is shown that accurate and fast segmentation results can be achieved for gray and color images using this simple method. Extension to 3D images is straightforward and easily handled.

关键词： image segmentation PDE watershed image denoising deformable models snakes region growing

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