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Josep Llados, & Young-Bin Kwon. (2004). Graphics Recognition. Recent Advances and Perspectives.
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Petia Radeva, & Jordi Vitria. (2004). Corkinspect: Statistical Learning of Natural Material. Italian Beverage Technology, 13(38):11–18.
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Jaume Amores, & Petia Radeva. (2004). Registration and retrieval of medical images. Application to IVUS.
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Oriol Pujol. (2004). A semi-Supervised Statistical Framework and Generative Snakes for IVUS Analysis (Petia Radeva, Ed.). Ph.D. thesis, , .
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David Masip, & Jordi Vitria. (2004). Boosted Linear Projections for Discriminant Analysis.
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Jordi Vitria, Petia Radeva, & I. Aguilo. (2004). Recent Advances in Artificial Intelligence Research and Development. In Frontiers in Artificial Intelligence and Applications, 113, J. Vitria, P. Radeva, I. Aguilo (Eds.), ISBN: 1–58603–466–9.
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Oriol Martinez. (2004). Semantic Retrieval of Memory Color Content.
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Raul Chaves. (2004). Sistema de identificacion mediante huellas dactilares.
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Carme Julia. (2004). Motion segmentation through factorization. Application to night driving assistance.
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Oriol Pujol, & Petia Radeva. (2004). Texture Segmentation by Statistical Deformable Models. IJIG - International Journal of Image and Graphics, 433–452.
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.
Keywords: Texture segmentation, parametric active contours, statistic snakes
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Oriol Ramos Terrades, & Ernest Valveny. (2004). Indexing Technical Symbols Using Ridgelets Transform.
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Ernest Valveny, & Philippe Dosch. (2004). Performance Evaluation of Symbol Recognition. In A. D.(E.) S. Marinai (Ed.), Document Analysis Systems (Vol. 3163, 354–365).
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Ernest Valveny, & Philippe Dosch. (2004). Symbol Recognition Contest: A Synthesis.
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Oriol Ramos Terrades, Salvatore Tabbone, L. Wendling, & Ernest Valveny. (2004). Symbol Recognition based on a Multiresolution Analysis of the Radon Transform.
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Zhong Jin, & Franck Davoine. (2004). Orthogonal ICA Representation Of Images.
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