| Records |
| Author |
Debora Gil; Petia Radeva |
| Title |
A Regularized Curvature Flow Designed for a Selective Shape Restoration |
Type |
Journal Article |
| Year |
2004 |
Publication |
IEEE Transactions on Image Processing |
Abbreviated Journal |
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| Volume |
13 |
Issue |
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Pages  |
1444–1458 |
| Keywords |
Geometric flows, nonlinear filtering, shape recovery. |
| Abstract |
Among all filtering techniques, those based exclu- sively on image level sets (geometric flows) have proven to be the less sensitive to the nature of noise and the most contrast preserving. A common feature to existent curvature flows is that they penalize high curvature, regardless of the curve regularity. This constitutes a major drawback since curvature extreme values are standard descriptors of the contour geometry. We argue that an operator designed with shape recovery purposes should include a term penalizing irregularity in the curvature rather than its magnitude. To this purpose, we present a novel geometric flow that includes a function that measures the degree of local irregularity present in the curve. A main advantage is that it achieves non-trivial steady states representing a smooth model of level curves in a noisy image. Performance of our approach is compared to classical filtering techniques in terms of quality in the restored image/shape and asymptotic behavior. We empirically prove that our approach is the technique that achieves the best compromise between image quality and evolution stabilization. |
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IAM;MILAB |
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no |
| Call Number |
BCNPCL @ bcnpcl @ GiR2004b |
Serial |
491 |
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| Author |
Josep Llados; Gemma Sanchez |
| Title |
Graph Matching vs. Graph Parsing in Graphics Recognition: A Combined Approach |
Type |
Journal |
| Year |
2004 |
Publication |
International Journal of Pattern Recognition and Artificial Intelligence |
Abbreviated Journal |
IJPRAI |
| Volume |
18 |
Issue |
3 |
Pages |
455–473 |
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DAG; IF: 0.588 |
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no |
| Call Number |
DAG @ dag @ LlS2004 |
Serial |
445 |
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| Author |
Oriol Pujol; Petia Radeva |
| Title |
Texture Segmentation by Statistical Deformable Models |
Type |
Journal |
| Year |
2004 |
Publication |
International Journal of Image and Graphics |
Abbreviated Journal |
IJIG |
| Volume |
4 |
Issue |
3 |
Pages |
433-452 |
| Keywords |
Texture segmentation, parametric active contours, statistic snakes |
| Abstract |
Deformable models have received much popularity due to their ability to include high-level knowledge on the application domain into low-level image processing. Still, most proposed active contour models do not sufficiently profit from the application information and they are too generalized, leading to non-optimal final results of segmentation, tracking or 3D reconstruction processes. In this paper we propose a new deformable model defined in a statistical framework to segment objects of natural scenes. We perform a supervised learning of local appearance of the textured objects and construct a feature space using a set of co-occurrence matrix measures. Linear Discriminant Analysis allows us to obtain an optimal reduced feature space where a mixture model is applied to construct a likelihood map. Instead of using a heuristic potential field, our active model is deformed on a regularized version of the likelihood map in order to segment objects characterized by the same texture pattern. Different tests on synthetic images, natural scene and medical images show the advantages of our statistic deformable model. |
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MILAB;HuPBA |
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no |
| Call Number |
BCNPCL @ bcnpcl @ PuR2004a |
Serial |
505 |
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| Author |
Ernest Valveny; Philippe Dosch |
| Title |
Performance Evaluation of Symbol Recognition |
Type |
Book Chapter |
| Year |
2004 |
Publication |
Document Analysis Systems |
Abbreviated Journal |
LNCS |
| Volume |
3163 |
Issue |
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Pages |
354–365 |
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Springer-Verlag |
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S. Marinai, A. Dengel (Eds.), |
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ISBN |
3-540-23060-2 |
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| Notes |
DAG |
Approved |
no |
| Call Number |
DAG @ dag @ VaD2004a |
Serial |
502 |
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| Author |
Debora Gil; Petia Radeva |
| Title |
Inhibition of False Landmarks |
Type |
Book Chapter |
| Year |
2004 |
Publication |
Recent Advances in Artificial Intelligence Research and Development |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
233-244 |
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| Abstract |
We argue that a corner detector should be based on the degree of continuity of the tangent vector to the image level sets, work on the image domain and need no assumptions on neither the image local structure nor the particular geometry of the corner/junction. An operator measuring the degree of differentiability of the projection matrix on the image gradient fulfills the above requirements. Its high sensitivity to changes in vector directions makes it suitable for landmark location in real images prone to need smoothing to reduce the impact of noise. Because using smoothing kernels leads to corner misplacement, we suggest an alternative fake response remover based on the receptive field inhibition of spurious details. The combination of both orientation discontinuity detection and noise inhibition produce our Inhibition Orientation Energy (IOE) landmark locator. |
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IOS Press |
Place of Publication |
Barcelona (Spain) |
Editor |
al, J.V. et |
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IAM;MILAB |
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no |
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IAM @ iam @ GiR2004a |
Serial |
1533 |
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| Author |
Aura Hernandez-Sabate; Debora Gil; Petia Radeva; E.N.Nofrerias |
| Title |
Anisotropic processing of image structures for adventitia detection in intravascular ultrasound images |
Type |
Conference Article |
| Year |
2004 |
Publication |
Proc. Computers in Cardiology |
Abbreviated Journal |
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| Volume |
31 |
Issue |
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Pages |
229-232 |
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| Abstract |
The adventitia layer appears as a weak edge in IVUS images with a non-uniform grey level, which difficulties its detection. In order to enhance edges, we apply an anisotropic filter that homogenizes the grey level along the image significant structures (ridges, valleys and edges). A standard edge detector applied to the filtered image yields a set of candidate points prone to be unconnected. The final model is obtained by interpolating the former line segments along the tangent direction to the level curves of the filtered image with an anisotropic contour closing technique based on functional extension principles |
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Chicago (USA) |
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| Notes |
IAM; MILAB |
Approved |
no |
| Call Number |
IAM @ iam @ HGR2004 |
Serial |
1555 |
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| Author |
Debora Gil; Petia Radeva |
| Title |
Shape Restoration via a Regularized Curvature Flow |
Type |
Journal Article |
| Year |
2004 |
Publication |
Journal of Mathematical Imaging and Vision |
Abbreviated Journal |
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| Volume |
21 |
Issue |
3 |
Pages |
205-223 |
| Keywords |
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| Abstract |
Any image filtering operator designed for automatic shape restoration should satisfy robustness (whatever the nature and degree of noise is) as well as non-trivial smooth asymptotic behavior. Moreover, a stopping criterion should be determined by characteristics of the evolved image rather than dependent on the number of iterations. Among the several PDE based techniques, curvature flows appear to be highly reliable for strongly noisy images compared to image diffusion processes.
In the present paper, we introduce a regularized curvature flow (RCF) that admits non-trivial steady states. It is based on a measure of the local curve smoothness that takes into account regularity of the curve curvature and serves as stopping term in the mean curvature flow. We prove that this measure decreases over the orbits of RCF, which endows the method with a natural stop criterion in terms of the magnitude of this measure. Further, in its discrete version it produces steady states consisting of piece-wise regular curves. Numerical experiments made on synthetic shapes corrupted with different kinds of noise show the abilities and limitations of each of the current geometric flows and the benefits of RCF. Finally, we present results on real images that illustrate the usefulness of the present approach in practical applications. |
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IAM;MILAB |
Approved |
no |
| Call Number |
IAM @ iam @ GiR2004c |
Serial |
1532 |
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| Author |
Oriol Rodriguez-Leor; J. Mauri; Eduard Fernandez-Nofrerias; Antonio Tovar; Vicente del Valle; Aura Hernandez-Sabate; Debora Gil; Petia Radeva |
| Title |
Utilizacion de la estructura de los campos vectoriales para la deteccion de la Adventicia en imagenes de Ecografia Intracoronaria |
Type |
Journal |
| Year |
2004 |
Publication |
Revista Española de Cardiología |
Abbreviated Journal |
REC |
| Volume |
57 |
Issue |
2 |
Pages |
100 |
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SEC |
| Notes |
MILAB;IAM |
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no |
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BCNPCL @ bcnpcl @ RMF2004 |
Serial |
566 |
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| Author |
Oriol Rodriguez-Leor; J. Mauri; Eduard Fernandez-Nofrerias; Antonio Tovar; Vicente del Valle; Aura Hernandez-Sabate; Debora Gil; Petia Radeva |
| Title |
Utilización de la Estructura de los Campos Vectoriales para la Detección de la Adventicia en Imágenes de Ecografía Intracoronaria |
Type |
Journal Article |
| Year |
2004 |
Publication |
Revista Internacional de Enfermedades Cardiovasculares Revista Española de Cardiología |
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| Volume |
57 |
Issue |
2 |
Pages |
100 |
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IAM;MILAB |
Approved |
no |
| Call Number |
IAM @ iam @ RMF2004 |
Serial |
1642 |
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| Author |
Fernando Vilariño; Debora Gil; Petia Radeva |
| Title |
A Novel FLDA Formulation for Numerical Stability Analysis |
Type |
Book Chapter |
| Year |
2004 |
Publication |
Recent Advances in Artificial Intelligence Research and Development |
Abbreviated Journal |
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| Volume |
113 |
Issue |
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Pages |
77-84 |
| Keywords |
Supervised Learning; Linear Discriminant Analysis; Numerical Stability; Computer Vision |
| Abstract |
Fisher Linear Discriminant Analysis (FLDA) is one of the most popular techniques used in classification applying dimensional reduction. The numerical scheme involves the inversion of the within-class scatter matrix, which makes FLDA potentially ill-conditioned when it becomes singular. In this paper we present a novel explicit formulation of FLDA in terms of the eccentricity ratio and eigenvector orientations of the within-class scatter matrix. An analysis of this function will characterize those situations where FLDA response is not reliable because of numerical instability. This can solve common situations of poor classification performance in computer vision. |
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IOS Press |
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Editor |
J. Vitrià, P. Radeva and I. Aguiló |
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978-1-58603-466-5 |
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| Notes |
MV;IAM;MILAB;SIAI |
Approved |
no |
| Call Number |
IAM @ iam @ VGR2004 |
Serial |
1663 |
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| Author |
Jaume Garcia; Petia Radeva; Francesc Carreras |
| Title |
Combining Spectral and Active Shape methods to Track Tagged MRI |
Type |
Book Chapter |
| Year |
2004 |
Publication |
Recent Advances in Artificial Intelligence Research and Development |
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Pages |
37-44 |
| Keywords |
MR; tagged MR; ASM; LV segmentation; motion estimation. |
| Abstract |
Tagged magnetic resonance is a very usefull and unique tool that provides a complete local and global knowledge of the left ventricle (LV) motion. In this article we introduce a method capable of tracking and segmenting the LV. Spectral methods are applied in order to obtain the so called HARP images which encode information about movement and are the base for LV point-tracking. For segmentation we use Active Shapes (ASM) that model LV shape variation in order to overcome possible local misplacements of the boundary. We finally show experiments on both synthetic and real data which appear to be very promising. |
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IOS Press |
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CCIA |
| Notes |
IAM;MILAB |
Approved |
no |
| Call Number |
IAM @ iam @ GRC2004 |
Serial |
1488 |
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| Author |
Angel Sappa; Niki Aifanti; N. Grammalidis; Sotiris Malassiotis |
| Title |
Advances in Vision-Based Human Body Modeling |
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Book Chapter |
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2004 |
Publication |
3D Modeling & Animation: Systhesis and Analysis Techniques for the Human Body |
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1-26 |
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N. Sarris and M. Strintzis. |
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ISBN |
1-59140-299-9 |
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ADAS |
Approved |
no |
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ADAS @ adas @ SAG2004a |
Serial |
458 |
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| Author |
Jordi Gonzalez |
| Title |
Human Sequence Evaluation: the Key-frame Approach |
Type |
Book Whole |
| Year |
2004 |
Publication |
PhD Thesis, Universitat Autonoma de Barcelona-CVC |
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Ph.D. thesis |
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Editor |
Xavier Roca;Javier Varona |
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no |
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ISE @ ise @ Gon2004 |
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362 |
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| Author |
Robert Benavente; Maria Vanrell |
| Title |
Fuzzy Colour Naming Based on Sigmoid Membership Functions. |
Type |
Miscellaneous |
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2004 |
Publication |
CGIV 2004 Second European Conference on Colour in Graphics, Imaging and Vision, 135:139 |
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Aachen (Germany) |
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CIC |
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no |
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CAT @ cat @ BeV2004 |
Serial |
441 |
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| Author |
M. Bressan; David Guillamet; Jordi Vitria |
| Title |
Multiclass Object Recognition using Class-Conditional Independent Component Analisis |
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Journal |
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2004 |
Publication |
Cybernetics and Systems, 35/1:35–61 (IF: 0.768) |
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OR;MV |
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no |
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BCNPCL @ bcnpcl @ BGV2004 |
Serial |
442 |
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