2004
@article{VBS2004,
vgclass = {refpap},
vgproject = {cbir},
author = {M. Vanrell and R. Baldrich and A. Salvatella and R.
Benavente and F. Tous},
title = {Induction operators for a computational colour-texture
representation},
journal = {Computer Vision and Image Understanding (special issue on Colour for Image Indexing and Retrieval)},
volume = {94},
number = {1--3},
pages = {92--114},
month = {April/June},
year = {2004},
url = {http://dx.doi.org/10.1016/j.cviu.2003.10.017},
abstract = {The aim of this paper is to outline a perceptual approach
to a computational colour-texture representation based on some colour
induction phenomena. The extension of classical grey level methods for
texture processing to the RGB channels of the corresponding colour
texture is not the best solution to simulate human perception.
Chromatic induction mechanisms of the human visual system, that has
been widely studied in psychophysics, play an important role when
looking at scenes where the spatial frequency is high as it occurs on
texture images. Besides others, chromatic induction includes two
complementary effects: chromatic assimilation and chromatic contrast.
While the former has been measured by Wandell and Zhang [A spatial
extension of CIELAB for digital colour image reproduction, in: SID,
1996] and extended to computer vision by Petrou et al. [Perceptual
smoothing and segmentation of colour textures, in: 5th European
Conference on Computer Vision, Freiburg, Germany, 1998, pp. 623] as a
perceptual blurring, some aspects on the last one still remain to be
measured, but it has to be a computational operator that simulates the
contrast induction phenomenon performing a perceptual sharpening that
preserves the structural properties of the texture. Applying both, the
perceptual sharpening and the perceptual blurring, we propose to build
a tower of images as an induction front-end that can be the basis of a
perceptual representation of colour-textures.},
}