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Author (up) C. Alejandro Parraga; Olivier Penacchio; Maria Vanrell
Title Retinal Filtering Matches Natural Image Statistics at Low Luminance Levels Type Journal Article
Year 2011 Publication Perception Abbreviated Journal PER
Volume 40 Issue Pages 96
Keywords
Abstract The assumption that the retina’s main objective is to provide a minimum entropy representation to higher visual areas (ie efficient coding principle) allows to predict retinal filtering in space–time and colour (Atick, 1992 Network 3 213–251). This is achieved by considering the power spectra of natural images (which is proportional to 1/f2) and the suppression of retinal and image noise. However, most studies consider images within a limited range of lighting conditions (eg near noon) whereas the visual system’s spatial filtering depends on light intensity and the spatiochromatic properties of natural scenes depend of the time of the day. Here, we explore whether the dependence of visual spatial filtering on luminance match the changes in power spectrum of natural scenes at different times of the day. Using human cone-activation based naturalistic stimuli (from the Barcelona Calibrated Images Database), we show that for a range of luminance levels, the shape of the retinal CSF reflects the slope of the power spectrum at low spatial frequencies. Accordingly, the retina implements the filtering which best decorrelates the input signal at every luminance level. This result is in line with the body of work that places efficient coding as a guiding neural principle.
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Notes CIC Approved no
Call Number Admin @ si @ PPV2011 Serial 1720
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Author (up) C. Alejandro Parraga; Ramon Baldrich; Maria Vanrell
Title Accurate Mapping of Natural Scenes Radiance to Cone Activation Space: A New Image Dataset Type Conference Article
Year 2010 Publication 5th European Conference on Colour in Graphics, Imaging and Vision and 12th International Symposium on Multispectral Colour Science Abbreviated Journal
Volume Issue Pages 50–57
Keywords
Abstract The characterization of trichromatic cameras is usually done in terms of a device-independent color space, such as the CIE 1931 XYZ space. This is indeed convenient since it allows the testing of results against colorimetric measures. We have characterized our camera to represent human cone activation by mapping the camera sensor's (RGB) responses to human (LMS) through a polynomial transformation, which can be “customized” according to the types of scenes we want to represent. Here we present a method to test the accuracy of the camera measures and a study on how the choice of training reflectances for the polynomial may alter the results.
Address Joensuu, Finland
Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN 9781617388897 Medium
Area Expedition Conference CGIV/MCS
Notes CIC Approved no
Call Number CAT @ cat @ PBV2010a Serial 1322
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Author (up) C. Alejandro Parraga; Robert Benavente; Maria Vanrell
Title Towards a general model of colour categorization which considers context Type Journal Article
Year 2010 Publication Perception. ECVP Abstract Supplement Abbreviated Journal PER
Volume 39 Issue Pages 86
Keywords
Abstract In two previous experiments [Parraga et al, 2009 J. of Im. Sci. and Tech 53(3) 031106; Benavente et al,2009 Perception 38 ECVP Supplement, 36] the boundaries of basic colour categories were measured.
In the first experiment, samples were presented in isolation (ie on a dark background) and boundaries were measured using a yes/no paradigm. In the second, subjects adjusted the chromaticity of a sample presented on a random Mondrian background to find the boundary between pairs of adjacent colours.
Results from these experiments showed significant di erences but it was not possible to conclude whether this discrepancy was due to the absence/presence of a colourful background or to the di erences in the paradigms used. In this work, we settle this question by repeating the first experiment (ie samples presented on a dark background) using the second paradigm. A comparison of results shows that
although boundary locations are very similar, boundaries measured in context are significantly di erent(more di use) than those measured in isolation (confirmed by a Student’s t-test analysis on the subject’s answers statistical distributions). In addition, we completed the mapping of colour name space by measuring the boundaries between chromatic colours and the achromatic centre. With these results we
completed our parametric fuzzy-sets model of colour naming space.
Address
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Notes CIC Approved no
Call Number CAT @ cat @ PBV2010b Serial 1326
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Author (up) C. Alejandro Parraga; Robert Benavente; Maria Vanrell
Title Modeling Colour-Naming Space with Fuzzy Sets Type Journal
Year 2007 Publication Perception 36:198–198, supp Abbreviated Journal
Volume Issue Pages
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Address
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Language Summary Language Original Title
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Notes CIC Approved no
Call Number CAT @ cat @ PBV2007 Serial 843
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Author (up) C. Alejandro Parraga; Robert Benavente; Maria Vanrell; Ramon Baldrich
Title Psychophysical measurements to model inter-colour regions of colour-naming space Type Journal Article
Year 2009 Publication Journal of Imaging Science and Technology Abbreviated Journal
Volume 53 Issue 3 Pages 031106 (8 pages)
Keywords image processing; Analysis
Abstract JCR Impact Factor 2009: 0.391
In this paper, we present a fuzzy-set of parametric functions which segment the CIE lab space into eleven regions which correspond to the group of common universal categories present in all evolved languages as identified by anthropologists and linguists. The set of functions is intended to model a color-name assignment task by humans and differs from other models in its emphasis on the inter-color boundary regions, which were explicitly measured by means of a psychophysics experiment. In our particular implementation, the CIE lab space was segmented into eleven color categories using a Triple Sigmoid as the fuzzy sets basis, whose parameters are included in this paper. The model’s parameters were adjusted according to the psychophysical results of a yes/no discrimination paradigm where observers had to choose (English) names for isoluminant colors belonging to regions in-between neighboring categories. These colors were presented on a calibrated CRT monitor (14-bit x 3 precision). The experimental results show that inter- color boundary regions are much less defined than expected and color samples other than those near the most representatives are needed to define the position and shape of boundaries between categories. The extended set of model parameters is given as a table.
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Notes CIC Approved no
Call Number CAT @ cat @ PBV2009 Serial 1157
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Author (up) C. Alejandro Parraga; Robert Benavente; Maria Vanrell; Ramon Baldrich
Title Modelling Inter-Colour Regions of Colour Naming Space Type Conference Article
Year 2008 Publication 4th European Conference on Colour in Graphics, Imaging and Vision Proceedings Abbreviated Journal
Volume Issue Pages 218–222
Keywords
Abstract
Address Terrassa (Spain)
Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN Medium
Area Expedition Conference CGIV08
Notes CAT;CIC Approved no
Call Number CAT @ cat @ PBV2008 Serial 969
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Author (up) C. Alejandro Parraga; Xavier Otazu; Arash Akbarinia
Title Modelling symmetry perception with banks of quadrature convolutional Gabor kernels Type Conference Article
Year 2019 Publication 42nd edition of the European Conference on Visual Perception Abbreviated Journal
Volume Issue Pages 224-224
Keywords
Abstract Mirror symmetry is a property most likely to be encountered in animals than in medium scale vegetation or inanimate objects in the natural world. This might be the reason why the human visual system has evolved to detect it quickly and robustly. Indeed, the perception of symmetry assists higher-level visual processing that are crucial for survival such as target recognition and identification irrespective of position and location. Although the task of detecting symmetrical objects seems effortless to us, it is very challenging for computers (to the extent that it has been proposed as a robust “captcha” by Funk & Liu in 2016). Indeed, the exact mechanism of symmetry detection in primates is not well understood: fMRI studies have shown that symmetrical shapes activate specific higher-level areas of the visual cortex (Sasaki et al.; 2005) and similarly, a large body of psychophysical experiments suggest that the symmetry perception is critically influenced by low-level mechanisms (Treder; 2010). In this work we attempt to find plausible low-level mechanisms that might form the basis for symmetry perception. Our simple model is made from banks of (i) odd-symmetric Gabors (resembling edge-detecting V1 neurons); and (ii) banks of larger odd- and even-symmetric Gabors (resembling higher visual cortex neurons), that pool signals from the 'edge image'. As reported previously (Akbarinia et al, ECVP2017), the convolution of the symmetrical lines with the two Gabor kernels of alternative phase produces a minimum in one and a maximum in the other (Osorio; 1996), and the rectification and combination of these signals create lines which hint of mirror symmetry in natural images. We improved the algorithm by combining these signals across several spatial scales. Our preliminary results suggest that such multiscale combination of convolutional operations might form the basis for much of the operation of the HVS in terms of symmetry detection and representation.
Address Leuven; Belgium; August 2019
Corporate Author Thesis
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ISSN ISBN Medium
Area Expedition Conference ECVP
Notes NEUROBIT; 600.128 Approved no
Call Number Admin @ si @ POA2019 Serial 3371
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Author (up) C. Butakoff; Simone Balocco; F.M. Sukno; C. Hoogendoorn; C. Tobon-Gomez; G. Avegliano; A.F. Frangi
Title Left-ventricular Epi- and Endocardium Extraction from 3D Ultrasound Images Using an Automatically Constructed 3D ASM Type Journal Article
Year 2016 Publication Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization Abbreviated Journal CMBBE
Volume 4 Issue 5 Pages 265-280
Keywords ASM; cardiac segmentation; statistical model; shape model; 3D ultrasound; cardiac segmentation
Abstract In this paper, we propose an automatic method for constructing an active shape model (ASM) to segment the complete cardiac left ventricle in 3D ultrasound (3DUS) images, which avoids costly manual landmarking. The automatic construction of the ASM has already been addressed in the literature; however, the direct application of these methods to 3DUS is hampered by a high level of noise and artefacts. Therefore, we propose to construct the ASM by fusing the multidetector computed tomography data, to learn the shape, with the artificially generated 3DUS, in order to learn the neighbourhood of the boundaries. Our artificial images were generated by two approaches: a faster one that does not take into account the geometry of the transducer, and a more comprehensive one, implemented in Field II toolbox. The segmentation accuracy of our ASM was evaluated on 20 patients with left-ventricular asynchrony, demonstrating plausibility of the approach.
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Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2168-1163 ISBN Medium
Area Expedition Conference
Notes MILAB Approved no
Call Number Admin @ si @ BBS2016 Serial 2449
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Author (up) C. Cortes
Title Definicio d´un sensor de visio artificial per a l´ajust automatic de tintes en la impressio de pape Type Report
Year 2001 Publication CVC Technical Report #53 Abbreviated Journal
Volume Issue Pages
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Abstract
Address CVC (UAB)
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Notes Approved no
Call Number Admin @ si @ Cor2001 Serial 184
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Author (up) C. Gratin; Jordi Vitria; F. Moreso; D. Seron
Title Texture Classification using Neural Networks and Local Granulometries Type Conference Article
Year 1994 Publication EURASIP Workshop, Mathematical Morphology and Its Applications to image Processing, J.Serra and P.Soille, editors Abbreviated Journal
Volume Issue Pages 309-316
Keywords Neural Networks; Granulometry; Kidney; Texture; Classication
Abstract
Address Fointanebleau, France
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Notes OR;MV Approved no
Call Number BCNPCL @ bcnpcl @ GVM1994 Serial 110
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Author (up) C. Mariño; M.G. Penas; M. Penedo; David Lloret; M.J. Carreira
Title Integration of Mutual Information and Creaseness Based Methods for the Automatic Registration of SLO Sequences. Type Miscellaneous
Year 2001 Publication Proceedings of the SIARP´2001. Abbreviated Journal
Volume Issue Pages
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Address Brasil.
Corporate Author Thesis
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Notes Approved no
Call Number Admin @ si @ MPP2001 Serial 197
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Author (up) C. Mariño; V.M. Gulias; M.G. Penas; M. Penedo; Victor Leboran; A. Mosquera; M.J. Carreira; David Lloret
Title Sistema de Interpretacion Automatica de Secuencias solo Basado en un Servidor vod. Type Miscellaneous
Year 2001 Publication Proceedings of the SIT2001. Abbreviated Journal
Volume Issue Pages
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Address
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Notes Approved no
Call Number Admin @ si @ MGP2001 Serial 196
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Author (up) C. Molina; G.P. Prause; Petia Radeva; M. Sonka
Title Catheter Path Reconstruction from Biplane Angiography using 3D Snakes. Type Miscellaneous
Year 1998 Publication SPIE – Medical imaging. Abbreviated Journal
Volume Issue Pages
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Address San Diego; CA; USA
Corporate Author Thesis
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Notes MILAB Approved no
Call Number BCNPCL @ bcnpcl @ MPR1998 Serial 22
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Author (up) C. Molina; J.B. Subirana
Title Reduction of complexity for object recognition algorithms Type Report
Year 1995 Publication CVC Technical Report #03 Abbreviated Journal
Volume Issue Pages
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Address CVC (UAB)
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Notes Approved no
Call Number Admin @ si @ MoS1995a Serial 225
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Author (up) C. Molina; J.B. Subirana
Title Polynomial-Time Algorithm for 2D object recognition. Type Miscellaneous
Year 1995 Publication VI National Simposium on Pattern Recognition and image Analysis Abbreviated Journal
Volume Issue Pages
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Address Cordoba
Corporate Author Thesis
Publisher Place of Publication Editor
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Notes Approved no
Call Number Admin @ si @ MoS1995b Serial 231
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