| Records |
| Author |
Xavier Otazu; M. Ribo; J.M. Paredes; M. Peracaula; J. Nuñez |
| Title |
Multiresolution approach for period determination on unevenly sampled data |
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2004 |
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Monthly Notices of the Royal Astronomical Society, 351:251–219 (IF: 5.238) |
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CAT @ cat @ ORP2004 |
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451 |
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| Author |
Xavier Otazu; Maria Vanrell |
| Title |
Building Perceived Colour Images. |
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Miscellaneous |
| Year |
2004 |
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CGIV 2004 Second European Conference on Colour in Graphics, Imaging, and Vision, 140:145 |
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Aachen (Germany) |
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CAT @ cat @ OtV2004 |
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450 |
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| Author |
Francesc Tous; Maria Vanrell; Ramon Baldrich |
| Title |
Exploring Colour Constancy Solutions. |
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2004 |
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CGIV 2004 Second European Conference on Colour in Graphics, Imaging, and Vision, 24:29 |
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Aachen (Germany) |
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CAT @ cat @ TVB2004 |
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452 |
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| Author |
Maria Vanrell; Ramon Baldrich; Anna Salvatella; Robert Benavente; Francesc Tous |
| Title |
Induction operators for a computational colour-texture representation |
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| Year |
2004 |
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Computer Vision and Image Understanding, 94(1–3):92–114, ISSN: 1077–3142 (IF: 0.651) |
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CAT @ cat @ VBS2004 |
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453 |
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| Author |
Philippe Dosch; Josep Llados |
| Title |
Vectorial Signatures for Symbol Discrimination |
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Miscellaneous |
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2004 |
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Graphics Recognition: Recent Advances and Perspectives, J. Llados, Y.B. Kwon (Eds.), Lecture Notes in Computer Science, 3088:150–161, ISBN: 3–540–22478–5 |
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Springer-Verlag |
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DAG |
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DAG @ dag @ DoL2004 |
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461 |
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| Author |
Josep Llados; Young-Bin Kwon |
| Title |
Graphics Recognition. Recent Advances and Perspectives |
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Miscellaneous |
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2004 |
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LNCS 3080, ISBN: 3–540–22478–5 |
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Springer-Verlag |
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DAG @ dag @ LlK2004 |
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515 |
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| Author |
Josep Llados; Gemma Sanchez |
| Title |
Graph Matching vs. Graph Parsing in Graphics Recognition: A Combined Approach |
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| Year |
2004 |
Publication |
International Journal of Pattern Recognition and Artificial Intelligence |
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IJPRAI |
| Volume |
18 |
Issue |
3 |
Pages |
455–473 |
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DAG; IF: 0.588 |
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DAG @ dag @ LlS2004 |
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445 |
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| Author |
Oriol Ramos Terrades; Salvatore Tabbone; L. Wendling; Ernest Valveny |
| Title |
Symbol Recognition based on a Multiresolution Analysis of the Radon Transform |
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2004 |
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The International Workshop on Multidisciplinary Image, Video, and Audio Retrieval and Mining |
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Sherbrooke (Canada) |
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DAG @ dag @ RTW2004 |
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500 |
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| Author |
Gemma Sanchez; Josep Llados |
| Title |
Syntactic models to represent perceptually regular repetitive patterns in graphic documents |
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Miscellaneous |
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2004 |
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Graphics Recognition: Recent Advances and Perspectives, Lecture Notes in Computer Science, J. Llados, Y.B. Kwon (Eds.), 3088:162–171 |
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Springer-Verlag |
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DAG @ dag @ SaL2004 |
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462 |
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| Author |
Gemma Sanchez; Ernest Valveny; Josep Llados; Joan Mas; N. Lozano |
| Title |
A platform to extract knowledge from graphic documents. Application to an architectural sketch understanding scenario |
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Miscellaneous |
| Year |
2004 |
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Document Analysis Systems VI, S. Marinai, A. Dengel (Eds.) Lecture Notes in Computer Science, 3163:389–400 |
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Springer-Verlag |
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DAG |
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DAG @ dag @ SVL2004 |
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460 |
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| Author |
Ernest Valveny; Philippe Dosch |
| Title |
Performance Evaluation of Symbol Recognition |
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| Year |
2004 |
Publication |
Document Analysis Systems |
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LNCS |
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3163 |
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354–365 |
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Springer-Verlag |
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S. Marinai, A. Dengel (Eds.), |
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3-540-23060-2 |
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no |
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DAG @ dag @ VaD2004a |
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502 |
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| Author |
Ernest Valveny; Philippe Dosch |
| Title |
Symbol Recognition Contest: A Synthesis |
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2004 |
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Graphics Recognition: Recent Advances and Perspectives, J. Llados, Y.B. Kwon (Eds.), Lecture Notes in Computer Science, 3088:368–386, ISBN: 3–540–22478–5 |
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DAG @ dag @ VaD2004b |
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501 |
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| Author |
Oriol Ramos Terrades; Ernest Valveny |
| Title |
Indexing Technical Symbols Using Ridgelets Transform |
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2004 |
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Graphics Recognition: Recent Advances and Perspectives, J. Llados, Y.B. Kwon (Eds.), Lecture Notes in Computer Science, 3088:177–187, ISBN: 3–540–22478–5 |
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DAG @ dag @ VaD2004c |
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503 |
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| Author |
Jaume Garcia |
| Title |
Generalized Active Shape Models Applied to Cardiac Function Analysis |
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Report |
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2004 |
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CVC Technical Report |
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78 |
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Cardiac Analysis; Deformable Models; Active Contour Models; Active Shape Models; Tagged MRI; HARP; Contrast Echocardiography. |
| Abstract |
Medical imaging is very useful in the assessment and treatment of many diseases. To deal with the great amount of data provided by imaging scanners and extract quantitative information that physicians can interpret, many analysis algorithms have been developed. Any process of analysis always consists of a first step of segmenting some particular structure. In medical imaging, structures are not always well defined and suffer from noise artifacts thus, ordinary segmentation methods are not well suited. The ones that seem to give better results are those based on deformable models. Nevertheless, despite their capability of mixing image features together with smoothness constraints that may compensate for image irregularities, these are naturally local methods, i. e., each node of the active contour evolve taking into account information about its neighbors and some other weak constraints about flexibility and smoothness, but not about the global shape that they should find. Due to the fact that structures to be segmented are the same for all cases but with some inter and intra-patient variation, the incorporation of a priori knowledge about shape in the segmentation method will provide robustness to it. Active Shape Models is an algorithm based on the creation of a shape model called Point Distribution Model. It performs a segmentation using only shapes similar than those previously learned from a training set that capture most of the variation presented by the structure. This algorithm works by updating shape nodes along a normal segment which often can be too restrictive. For this reason we propose a generalization of this algorithm that we call Generalized Active Shape Models and fully integrates the a priori knowledge given by the Point Distribution Model with deformable models or any other appropriate segmentation method. Two different applications to cardiac imaging of this generalized method are developed and promising results are shown. |
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CVC (UAB) |
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Master's thesis |
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IAM; |
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IAM @ iam @ Gar2004 |
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1513 |
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| Author |
Debora Gil |
| Title |
Geometric Differential Operators for Shape Modelling |
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2004 |
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PhD Thesis, Universitat Autonoma de Barcelona-CVC |
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Medical imaging feeds research in many computer vision and image processing fields: image filtering, segmentation, shape recovery, registration, retrieval and pattern matching. Because of their low contrast changes and large variety of artifacts and noise, medical imaging processing techniques relying on an analysis of the geometry of image level sets rather than on intensity values result in more robust treatment. From the starting point of treatment of intravascular images, this PhD thesis ad- dresses the design of differential image operators based on geometric principles for a robust shape modelling and restoration. Among all fields applying shape recovery, we approach filtering and segmentation of image objects. For a successful use in real images, the segmentation process should go through three stages: noise removing, shape modelling and shape recovery. This PhD addresses all three topics, but for the sake of algorithms as automated as possible, techniques for image processing will be designed to satisfy three main principles: a) convergence of the iterative schemes to non-trivial states avoiding image degeneration to a constant image and representing smooth models of the originals; b) smooth asymptotic behav- ior ensuring stabilization of the iterative process; c) fixed parameter values ensuring equal (domain free) performance of the algorithms whatever initial images/shapes. Our geometric approach to the generic equations that model the different processes approached enables defining techniques satisfying all the former requirements. First, we introduce a new curvature-based geometric flow for image filtering achieving a good compromise between noise removing and resemblance to original images. Sec- ond, we describe a new family of diffusion operators that restrict their scope to image level curves and serve to restore smooth closed models from unconnected sets of points. Finally, we design a regularization of snake (distance) maps that ensures its smooth convergence towards any closed shape. Experiments show that performance of the techniques proposed overpasses that of state-of-the-art algorithms. |
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Ph.D. thesis |
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Ediciones Graficas Rey |
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Barcelona (Spain) |
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Jordi Saludes i Closa;Petia Radeva |
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84-933652-0-3 |
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prit |
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IAM; |
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IAM @ iam @ GIL2004 |
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1517 |
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