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Author Maria Vanrell; Jordi Vitria edit  openurl
  Title Mathematical Morphology, Granulometries and Texture Perception. Type Miscellaneous
  Year 1993 Publication (up) SPIE International Symposium on Optical Instrumentation and Applied Science (Conference on image Algebra and Morphological image Processing IV). Abbreviated Journal  
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  Address San Diego; CA; USA  
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  Area Expedition Conference  
  Notes OR;CIC;MV Approved no  
  Call Number BCNPCL @ bcnpcl @ VaV1993 Serial 178  
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Author Maria Vanrell; Jordi Vitria; Xavier Roca edit  openurl
  Title A General Morphological Framework for Perceptual Texture Discrimination based on Granulometries. Type Miscellaneous
  Year 1993 Publication (up) Technical Workshop on Mathematical Morphology and its Applications to Signal Processing. Abbreviated Journal  
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  Address Barcelona  
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  Area Expedition Conference  
  Notes OR;ISE;CIC;MV Approved no  
  Call Number BCNPCL @ bcnpcl @ VVR1993 Serial 154  
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Author Eduard Vazquez; Maria Vanrell edit  openurl
  Title Eines per al desenvolupament de competencies de enginyeria en un assignatura de Intel·ligencia Artificial Type Miscellaneous
  Year 2008 Publication (up) V Jornades d’Innovacio Docent (UAB) Abbreviated Journal  
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  Address Bellaterra (Spain)  
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  Notes CIC Approved no  
  Call Number CAT @ cat @ VaV2008 Serial 1011  
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Author X. Binefa; Jordi Vitria; Maria Vanrell edit  openurl
  Title Reconstruccion tridimensional de imagenes Microscopicas. Type Miscellaneous
  Year 1992 Publication (up) V Simposium Nacional de Reconocimiento de Formas y Analisis de Imagenes Abbreviated Journal  
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  Notes OR;CIC;MV Approved no  
  Call Number BCNPCL @ bcnpcl @ BVV1992b Serial 255  
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Author Xavier Otazu; Maria Vanrell; C. Alejandro Parraga edit  openurl
  Title Multiresolution Wavelet Framework Models Brightness Induction Effects Type Journal
  Year 2008 Publication (up) Vision Research Abbreviated Journal VR  
  Volume 48 Issue 5 Pages 733–751  
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  Notes CIC Approved no  
  Call Number CAT @ cat @ OVP2008a Serial 927  
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Author Ivet Rafegas; Maria Vanrell edit   pdf
url  doi
openurl 
  Title Color encoding in biologically-inspired convolutional neural networks Type Journal Article
  Year 2018 Publication (up) Vision Research Abbreviated Journal VR  
  Volume 151 Issue Pages 7-17  
  Keywords Color coding; Computer vision; Deep learning; Convolutional neural networks  
  Abstract Convolutional Neural Networks have been proposed as suitable frameworks to model biological vision. Some of these artificial networks showed representational properties that rival primate performances in object recognition. In this paper we explore how color is encoded in a trained artificial network. It is performed by estimating a color selectivity index for each neuron, which allows us to describe the neuron activity to a color input stimuli. The index allows us to classify whether they are color selective or not and if they are of a single or double color. We have determined that all five convolutional layers of the network have a large number of color selective neurons. Color opponency clearly emerges in the first layer, presenting 4 main axes (Black-White, Red-Cyan, Blue-Yellow and Magenta-Green), but this is reduced and rotated as we go deeper into the network. In layer 2 we find a denser hue sampling of color neurons and opponency is reduced almost to one new main axis, the Bluish-Orangish coinciding with the dataset bias. In layers 3, 4 and 5 color neurons are similar amongst themselves, presenting different type of neurons that detect specific colored objects (e.g., orangish faces), specific surrounds (e.g., blue sky) or specific colored or contrasted object-surround configurations (e.g. blue blob in a green surround). Overall, our work concludes that color and shape representation are successively entangled through all the layers of the studied network, revealing certain parallelisms with the reported evidences in primate brains that can provide useful insight into intermediate hierarchical spatio-chromatic representations.  
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  Notes CIC; 600.051; 600.087 Approved no  
  Call Number Admin @ si @RaV2018 Serial 3114  
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