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Author Oriol Rodriguez-Leor; E. Fernandez-Nofrerias; J. Mauri; C. Garcia; R. Villuendas; V. Valle; Oriol Pujol; Petia Radeva edit  openurl
  Title Intravascular ultrasound segmentation using local binary patterns Type Journal
  Year 2003 Publication European Heart Journal (IF: 5.997), ESC Congress 2003 Abbreviated Journal  
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  Address Vienna (Austria)  
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  Notes MILAB;HuPBA Approved no  
  Call Number BCNPCL @ bcnpcl @ RFM2003a Serial 407  
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Author O. Rodriguez; J. Mauri; E Fernandez-Nofrerias; A. Tovar; R. Villuendas; V. Valle; Oriol Pujol; Petia Radeva edit  openurl
  Title Analisis de texturas mediante la modificacion de un modelo binario local para la segmentacion automatica de secuencias de ecografia intracoronaria Type Journal
  Year 2003 Publication Revista Española de Cardiologia (IF: 0.959), 56(2), Congreso de las Enfermedades Cardiovasculares Abbreviated Journal  
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  Address Sevilla (Spain)  
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  Notes MILAB;HuPBA Approved no  
  Call Number BCNPCL @ bcnpcl @ RMF2003f Serial 413  
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Author Oriol Pujol; Petia Radeva edit  openurl
  Title Texture Segmentation by Statistic Deformable Models Type Journal
  Year 2003 Publication International Journal of Image and Graphics (IJIG) Abbreviated Journal  
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  Notes MILAB;HuPBA Approved no  
  Call Number BCNPCL @ bcnpcl @ PuR2003 Serial 432  
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Author M. Gomez; J. Mauri; E. Fernandez-Nofrerias; Oriol Rodriguez-Leor; Carme Julia; Oriol Pujol; Petia Radeva edit  openurl
  Title Diferenciacion de las estructuras del vaso coronario mediante el procesamiento de imagenes y el analisis de las diferentes texturas a partir de la ecografia intracoronaria Type Journal
  Year 2002 Publication XXXVIII Congreso Nacional de la Sociedad Española de Cardiologia Abbreviated Journal  
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  Address Madrid  
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  Notes MILAB;HuPBA Approved no  
  Call Number BCNPCL @ bcnpcl @ GMF2002f Serial 433  
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Author Oriol Pujol; Petia Radeva edit  doi
openurl 
  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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  Area Expedition Conference  
  Notes MILAB;HuPBA Approved no  
  Call Number BCNPCL @ bcnpcl @ PuR2004a Serial 505  
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