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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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Local scale for boundary shape description: Application in locating landmarks automatically

Local scale for boundary shape description: Application in l...

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

作者： Rueda, Sylvia Udupa, Jayaram K. Bai, Li Univ Nottingham Sch Comp Sci CMIAG Grp Jubilee CampusWollaton Rd Nottingham NG8 1BB England Univ Penn Dept Radiol Med Image Proc Grp Philadelphia PA 19104 USA

ISBN: (纸本)9780769529967

A good shape descriptor is necessary for automatically identifying landmarks on boundaries. Our method of boundary shape description is based on the notion of c-scale, which is a new local scale concept, defined at each boundary element. From this representation we can extract special points of interest such as convex and concave corners, straight lines, circular segments, and inflection points. the results show that this method gives a complete description of shape and allows the automatic positioning of mathematical landmarks, which agree with our intuitive ideas of where landmarks may be defined. this method is applicable to spaces of any dimensionality, although we have focused in this paper on 2D shapes.

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Wrapper approach to select a subset of color components for image segmentation with photometric variations

Wrapper approach to select a subset of color components for ...

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

作者： de Castro Jorge, Lzicio Andre Ruiz, Henrique de Souza Ferreira, Ednaldo Jose Gonzaga, Adilson Embrapa Instrumetacao Agropecuaria Rua 15 Novembro1452C P 741 BR-13560970 Sao Carlos SP Brazil Univ Sao Paulo Dept Elect Engn Engn Electr BR-13566590 Sao Carlos SP Brazil EESC USP Dept Elect Engn BR-13566590 Sao Carlos SP Brazil

ISBN: (纸本)9780769529967

the choice of a color model is of great importance for many computer vision algorithms. However, there are many color models available;the inherent difficulty is how to automatically select a single color model or, alternatively, a subset of features from several color models producing the best result for a particular task. To achieve proper colors components selection, in this paper, it was proposed the use of wrapper method, a data mining approach, to obtain repeatability and distinctiveness in segmentation process. the result was compared with neural network method and yields good feature discrimination. the method was verified experimentally with 108 images from Amsterdam Library of Objects images (ALOI) and 10 aerial images with different photometric conditions. Furthermore, it has shown that the color model selection scheme provides a proper balance between color invariance (repeatability) and discriminative power (distinctiveness).

关键词： image segmentation

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Combining wavelets and watersheds for robust multiscale image segmentation

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image AND VISION COMPUTING 2007年第1期25卷 24-33页

作者： Jung, Claudio Rosito Univ Vale Rio dos Sinos PIPCA Grad Sch Appl Comp BR-93022000 Sao Leopoldo RS Brazil

this paper proposes a new segmentation technique that combines multiresolution wavelet decompositions with the watershed transform. the wavelet transform is applied to the intensity image, producing detail and approximation coefficients. Gradient magnitudes of the approximation image at the coarsest resolution are computed, and an adaptive threshold is used to remove small gradient magnitudes. the watershed transform is then applied, and the segmented image is projected up to higher resolutions using inverse wavelet transforms. Typically, if a low resolution is chosen for the initial segmentation, large relevant objects will be captured;on the other hand, a higher initial resolution will lead to smaller (and more detailed) segmented objects. the low-pass filtering involved in the wavelet decomposition provides robust segmentation results for noisy images, even when the amount of noise is very large. (c) 2006 Elsevier B.V. All rights reserved.

关键词： segmentation watersheds wavelets multiresolution denoising region merging

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A parallel application for 3D reconstruction of coronal loops using image morphing

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image AND VISION COMPUTING 2007年第1期25卷 95-102页

作者： Faria, Lilian N. Mascarenhas, Nelson D. A. Moron, Celio E. Saito, Jos H. Rosa, Reinaldo R. Sawant, Hanumant S. Univ Fed Sao Carlos Dept Comp BR-13565905 Sao Carlos SP Brazil INPE DAS Inst Nacl Pesquisas Espaciais BR-12201970 Sao Jose Dos Campos Brazil INPE LAC Div Astrofis Lab Associado Comp & Matemat Aplicada BR-12201970 Sao Jose Dos Campos Brazil

this paper presents an approach for 3D reconstruction of X-ray tomographic images of coronal loops, observed on the solar atmosphere by the Japanese satellite Yohkoh. In this approach, the intermediate cross-sections images of the magnetic loop are generated with image morphing controlled by a Bezier curve in arc shape. Due to the high computational costs involved in the processing and visualization of solar images, a parallel application for 3D reconstruction of a coronal loop was implemented to execute in the Atlas parallel system. (c) 2006 Elsevier B.V. All rights reserved.

关键词： coronal loops 3D reconstruction image processing image morphing parallel system

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image restoration using digital inpainting and noise removal

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image AND VISION COMPUTING 2007年第1期25卷 61-69页

作者： Barcelos, Celia A. Zorzo Batista, Marcos Aurelio Univ Fed Goias Dept Comp BR-75704020 Catalao Go Brazil Univ Fed Uberlandia Fac Math BR-38400902 Uberlandia MG Brazil

Inpainting and denoising are two important tasks in the field of image processing with broad applications in image and vision analysis. In this paper. we present a new approach for image restoration. Our method simultaneously fills in missing, corrupted, or undesirable information while it removes noise. the denoising is performed by the smoothing equation working inside and outside of the inpainting domain but in completely different ways. Inside the inpainting domain, the smoothing is carried out by the Mean Curvature Flow, while the smoothing of the outside of the inpainting domain is carried out in a way as to encourage smoothing within a region and discourage smoothing across boundaries. Besides smoothing, the approach here presented permits the transportation of available information from the outside towards the inside of the inpainting domain. this combination permits the simultaneous use of filling-in and differentiated smoothing of different regions of an image. the experimental results show the effective performance of the combination of these two procedures in restoring scratched photos, disocclusion (or removal of entire objects from the image) in vision analysis and text removal from images. (c) 2006 Elsevier B.V. All rights reserved.

关键词： inpaint image processing noise removal edge detection diffusion equation transport equation

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Two-stage binary image operator design: An approach based on interaction information

Two-stage binary image operator design: An approach based on...

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

作者： Santos, Carlos S. Hirata, Nina S. T. Hirata Jr., Roberto Department of Computer Science Institute of Mathematics and Statistics University of Sacombining Double Acute Accento Paulo Rua do Matacombining double acute accento 1010 05508-090 Sacombining double acute accento Paulo Brazil

ISBN: (纸本)0769529968

We address the problem of binary image operator design over large windows by breaking it into two phases. Firstly, we design several operators over small sub-windows of the main window. the outputs of these first level operators are then combined into a global operator. We devise a heuristic, motivated by Information theory, for breaking the main window into sub-windows. Preliminary results show that the proposed scheme improves operator performance over single-level operators. © 2007 IEEE.

关键词： Binary images

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Stochastic exploration and active learning for image retrieval

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image AND VISION COMPUTING 2007年第1期25卷 14-23页

作者： Cord, Matthieu Gosselin, Philippe H. Philipp-Foliguet, Sylvie Univ Cergy Pontoise ETIS CNRS UMR 8051 F-95014 Cergy Pontoise France

this paper deals with content-based image retrieval. When the user is looking for large categories, statistical classification techniques are efficient as soon as the training set is large enough. We introduce a two-step-exploration, classification-interactive strategy designed for category retrieval. the first step aims at getting a useful initial training set for the classification step. A stochastic image selection process is used instead of the usual strategy based on a similarity score ranking. this process is dedicated to explore the database in order to collect examples as various as possible of the searched category. the second step aims at providing the best classification between relevant and irrelevant images. Based on SVM, the classification applies an active learning strategy through user interaction. A quality assessment is carried out on the ANN and COREL databases in order to compare and validate our approach. (c) 2006 Elsevier B.V. All rights reserved.

关键词： image processing content-based image retrieval exploration of image database classification active learning

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Fully automatic coloring of grayscale images

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image AND VISION COMPUTING 2007年第1期25卷 50-60页

作者： Vieira, Luiz Filipe M. do Nascimento, Erickson R. Fernandes, Fernando A., Jr. Carceroni, Rodrigo L. Araujo, Arnaldo de A. Univ Fed Minas Gerais Dept Ciencia Comp BR-31270010 Belo Horizonte MG Brazil

this paper introduces a methodology for adding color to grayscale images in a way that is completely automatic. Towards this goal, we build on a technique that was recently developed to transfer colors from a user-selected source image to a target grayscale image. More specifically, in order to eliminate the need for manual selection of the source image, we use content-based image retrieval methods to find suitable source images in an image database. To assess the merit of our methodology, we performed a survey where volunteers were asked to rate the plausibility of the colorings generated automatically for grayscale images. In most cases, automatically-colored images were rated either as totally plausible or as mostly plausible. (c) 2006 Elsevier B.V. All rights reserved.

关键词： image coloring color transfer content-based image retrieval

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Graph-based object tracking using structural pattern recognition

Graph-based object tracking using structural pattern recogni...

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

作者： Graciano, Ana B. V. Cesar Jr., Roberto M. Bloch, Isabelle Institute of Mathematics and Statistics - USP Department of Computer Science Rua do Matão 1010 São Paulo SP 05508-900 Brazil Dept. TSI GET-ENST CNRS - UMR 5141 LTCI 46 Rue Barrault F-75634 Cedex 13 Paris France

ISBN: (纸本)0769529968

this paper proposes a model-based methodology for recognizing and tracking objects in digital image sequences. Objects are represented by attributed relational graphs (or ARGs), which carry both local and relational information about them. the recognition is performed by inexact graph matching, which consists in finding an approximate homomorphism between ARGs derived from an input video and a model image. Searching for a suitable homomorphism is achieved through a tree-search optimization algorithm and the minimization of a pre-defined cost function. Motion smoothness between successive frames is exploited to achieve the recognition over the whole sequence, with improved spatio-temporal coherence. © 2007 IEEE.

关键词： Cost functions

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