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Cristina Cañero, Petia Radeva, Ricardo Toledo, Juan J. Villanueva, & J. Mauri. (2000). 3D Curve Reconstruction by Biplane Snakes. In 15 th International Conference on Pattern Recognition (Vol. 4, pp. 563–566).
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Joan Serrat, Antonio Lopez, & David Lloret. (2000). On ridges and valleys. In 15 th International Conference on Pattern Recognition (Vol. 4, pp. 59–66).
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Debora Gil, Petia Radeva, Jordi Saludes, & J. Mauri. (2000). Automatic Segmentation of Artery Wall in Coronary IVUS Images: A Probabilistic Approach. In International Conference on Pattern Recognition (Vol. 4, pp. 352–355).
Abstract: Intravascular ultrasound images represent a unique tool to analyze the morphology of arteries and vessels (plaques, restenosis, etc). The poor quality of these images makes unsupervised segmentation based on traditional segmentation algorithms (such as edge or ridge/valley detection) fail to achieve the expected results. In this paper we present a probabilistic flexible template to separate different regions in the image. In particular, we use elliptic templates to model and detect the shape of the vessel inner wall in IVUS images. We present the results of successful segmentation obtained from patients undergoing stent treatment. A physician team has validated these results.
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Debora Gil, Petia Radeva, Jordi Saludes, & J. Mauri. (2000). Automatic Segmentation of Artery Wall in Coronary IVUS Images: a Probabilistic Approach. In Proceedings of CIC’2000. Cambridge, Massachussets.
Abstract: Intravascular ultrasound images represent a unique tool to analyze the morphology of arteries and vessels (plaques, restenosis, etc). The poor quality of these images makes unsupervised segmentation based on traditional segmentation algorithms (such as edge or ridge/valley detection) fail to achieve the expected results. In this paper we present a probabilistic flexible template to separate different regions in the image. In particular, we use elliptic templates to model and detect the shape of the vessel inner wall in IVUS images. We present the results of successful segmentation obtained from patients undergoing stent treatment. A physician team has validated these results.
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Josep Llados, Jaime Lopez-Krahe, Gemma Sanchez, & Enric Marti. (2000). Interprétation de cartes et plans par mise en correspondance de graphes de attributs. In 12 Congrès Francophone AFRIF–AFIA (Vol. 3, pp. 225–234).
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J. Mauri, Eduard Fernandez-Nofrerias, B. Garcia del Blanco, E. Iraculis, J.A. Gomez-Hospital, J. Comin, et al. (2000). Moviment del vas en l anàlisi d imatges d ecografia intracoronària: un model matemàtic. In Congrés de la Societat Catalana de Cardiologia..
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J. Mauri, Eduard Fernandez-Nofrerias, J. Comin, B. Garcia del Blanco, E. Iraculis, J.A. Gomez-Hospital, et al. (2000). Avaluació del Conjunt Stent/Artèria mitjançant ecografia intracoronària: lentorn informàtic. In Congrés de la Societat Catalana de Cardiologia..
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Ernest Valveny, & Enric Marti. (2000). Hand-drawn symbol recognition in graphic documents using deformable template matching and a Bayesian framework. In Proc. 15th Int Pattern Recognition Conf (Vol. 2, pp. 239–242).
Abstract: Hand-drawn symbols can take many different and distorted shapes from their ideal representation. Then, very flexible methods are needed to be able to handle unconstrained drawings. We propose here to extend our previous work in hand-drawn symbol recognition based on a Bayesian framework and deformable template matching. This approach gets flexibility enough to fit distorted shapes in the drawing while keeping fidelity to the ideal shape of the symbol. In this work, we define the similarity measure between an image and a symbol based on the distance from every pixel in the image to the lines in the symbol. Matching is carried out using an implementation of the EM algorithm. Thus, we can improve recognition rates and computation time with respect to our previous formulation based on a simulated annealing algorithm.
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Felipe Lumbreras, Xavier Roca, Daniel Ponsa, Robert Benavente, Judit Martinez, Silvia Sanchez, et al. (2001). Visual Inspection of Safety Belts. In International Conference on Quality Control by Artificial Vision (Vol. 2, 526–531).
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Ernest Valveny, & Enric Marti. (2001). Learning of structural descriptions of graphic symbols using deformable template matching. In Proc. Sixth Int Document Analysis and Recognition Conf (pp. 455–459).
Abstract: Accurate symbol recognition in graphic documents needs an accurate representation of the symbols to be recognized. If structural approaches are used for recognition, symbols have to be described in terms of their shape, using structural relationships among extracted features. Unlike statistical pattern recognition, in structural methods, symbols are usually manually defined from expertise knowledge, and not automatically infered from sample images. In this work we explain one approach to learn from examples a representative structural description of a symbol, thus providing better information about shape variability. The description of a symbol is based on a probabilistic model. It consists of a set of lines described by the mean and the variance of line parameters, respectively providing information about the model of the symbol, and its shape variability. The representation of each image in the sample set as a set of lines is achieved using deformable template matching.
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Francesc Tous, Agnes Borras, Robert Benavente, Ramon Baldrich, Maria Vanrell, & Josep Llados. (2002). Textual Descriptors for browsing people by visual appearence. In 5è. Congrés Català d’Intel·ligència Artificial CCIA.
Abstract: This paper presents a first approach to build colour and structural descriptors for information retrieval on a people database. Queries are formulated in terms of their appearance that allows to seek people wearing specific clothes of a given colour name or texture. Descriptors are automatically computed by following three essential steps. A colour naming labelling from pixel properties. A region seg- mentation step based on colour properties of pixels combined with edge information. And a high level step that models the region arrangements in order to build clothes structure. Results are tested on large set of images from real scenes taken at the entrance desk of a building.
Keywords: Image retrieval, textual descriptors, colour naming, colour normalization, graph matching.
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M. Bressan, & Jordi Vitria. (2002). Independent Component Analysis and Naïve Bayes Classification. In Proceedings of the Second IASTED International Conference Visualilzation, Imaging and Image Proceesing VIIP 2002: 496–501..
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Fernando Vilariño, & Petia Radeva. (2002). Patch-Optimized Discriminant Active Contours for Medical Image Segmentation. In Iberoamerican Conference on Artificial Intelligence. Springer Verlag.
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M. Gomez, J. Mauri, Eduard Fernandez-Nofrerias, Oriol Rodriguez-Leor, Carme Julia, Debora Gil, et al. (2002). Reconstrucción de un modelo espacio-temporal de la luz del vaso a partir de secuencias de ecografía intracoronaria. In XXXVIII Congreso Nacional de la Sociedad Española de Cardiología..
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Debora Gil, Petia Radeva, & J. Mauri. (2002). Ivus Segmentation Via a Regularized Curvature Flow. In X Congreso Anual de la Sociedad Española de Ingeniería Biomédica CASEIB 2002 (pp. 133–136). Saragossa, Espanya.
Abstract: Cardiac diseases are diagnosed and treated through a study of the morphology and dynamics of cardiac arteries. In- travascular Ultrasound (IVUS) imaging is of high interest to physicians since it provides both information. At the current state-of-the-art in image segmentation, a robust detection of the arterial lumen in IVUS demands manual intervention or ECG-gating. Manual intervention is a tedious and time consuming task that requires experienced observers, meanwhile ECG-gating is an acquisition technique not available in all clinical centers. We introduce a parametric algorithm that detects the arterial luminal border in in vivo sequences. The method consist in smoothing the sequences’ level surfaces under a regularized mean curvature flow that admits non-trivial steady states. The flow is based on a measure of the surface local smoothness that takes into account regularity of the surface curvature.
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