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Eduard Vazquez, Joost Van de Weijer, & Ramon Baldrich. (2008). Image Segmentation in the Presence of Shadows and Highligts. In 10th European Conference on Computer Vision (Vol. 5305, 1–14). LNCS.
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Susana Alvarez, Anna Salvatella, Maria Vanrell, & Xavier Otazu. (2012). Low-dimensional and Comprehensive Color Texture Description. CVIU - Computer Vision and Image Understanding, 116(I), 54–67.
Abstract: Image retrieval can be dealt by combining standard descriptors, such as those of MPEG-7, which are defined independently for each visual cue (e.g. SCD or CLD for Color, HTD for texture or EHD for edges).
A common problem is to combine similarities coming from descriptors representing different concepts in different spaces. In this paper we propose a color texture description that bypasses this problem from its inherent definition. It is based on a low dimensional space with 6 perceptual axes. Texture is described in a 3D space derived from a direct implementation of the original Julesz’s Texton theory and color is described in a 3D perceptual space. This early fusion through the blob concept in these two bounded spaces avoids the problem and allows us to derive a sparse color-texture descriptor that achieves similar performance compared to MPEG-7 in image retrieval. Moreover, our descriptor presents comprehensive qualities since it can also be applied either in segmentation or browsing: (a) a dense image representation is defined from the descriptor showing a reasonable performance in locating texture patterns included in complex images; and (b) a vocabulary of basic terms is derived to build an intermediate level descriptor in natural language improving browsing by bridging semantic gap
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Arjan Gijsenij, Theo Gevers, & Joost Van de Weijer. (2008). Edge Classification for Color Constancy. In 4th European Conference on Colour in Graphics, Imaging and Vision Proceedings (231–234).
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Arjan Gijsenij, Theo Gevers, & Joost Van de Weijer. (2009). Physics-based Edge Evaluation for Improved Color Constancy. In 22nd IEEE Conference on Computer Vision and Pattern Recognition (581 – 588).
Abstract: Edge-based color constancy makes use of image derivatives to estimate the illuminant. However, different edge types exist in real-world images such as shadow, geometry, material and highlight edges. These different edge types may have a distinctive influence on the performance of the illuminant estimation.
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Robert Benavente, M.C. Olive, Maria Vanrell, & Ramon Baldrich. (1999). Colour Perception: A Simple Method for Colour Naming..
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Robert Benavente. (1999). Dealing with colour variability: application to a colour naming task.
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Ramon Baldrich. (2001). Perceptual approach to a computational colour-texture representation for surface inspection..
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Robert Benavente, & Maria Vanrell. (2001). A colour naming experiment.
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O. Fors, Xavier Otazu, & J. Nuñez. (2001). Fusion Mediante Wavelets de Imagenes Spot-pan y del Satelite Tailandes TMSAT..
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Xavier Otazu, & J. Nuñez. (2001). Algoritmo de Clasificacion no Supervisada Basado en Wavelets..
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Robert Benavente, Ramon Baldrich, M.C. Olive, & Maria Vanrell. (2000). Colour Naming Considering the Colour Variability Problem..
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Xavier Otazu, M. Ribo, M. Peracaula, J.M. Paredes, & J. Nuñez. (2002). Detection of superimposed periodic signals using wavelets. Monthly Notices of the Royal Astronomical Society, 333, 2: 365–372 (IF: 4.671).
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Robert Benavente, Francesc Tous, Ramon Baldrich, & Maria Vanrell. (2002). Statical Modelling of a Colour Naming Space..
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M. Gonzalez-Audicana, Xavier Otazu, O. Fors, R Garcia, & J. Nuñez. (2002). Fusion of different spatial and spectral resolution images: development, apllication and comparison of new methods based on wavelets..
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Ramon Baldrich, Maria Vanrell, Robert Benavente, & Anna Salvatella. (2003). Color Enhancement based on perceptual sharpening.
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