1997
@inproceedings{LaP1997,
vgclass = {refpap},
author = {R. Lakmann and L. Priese},
title = {A Reduced Covariance Color Texture Model for
Micro-Textures},
booktitle = {The 10th Scandinavian Conference on Image Analysis},
address = {Lappeenranta, Finland},
pages = {947--953},
month = {June},
year = {1997},
abstract = {Color and texture, two main features in image analysis,
are integrated into a unique color texture model. A reduced color
covariance texture model is described which is based on second order
statistics. In this texture model natural color micro-textures are
represented by color histograms and color covariance matrices. While
the color histograms store the color distribution of the image a set of
covariance matrices represents the spatial interrelation of color
pixels. The significance of the parameter set is tested by the results
of a re-synthesis algorithm. The histogram and covariance parameters of
natural color textures are calculated and taken as an input for the
re-synthesis of the same texture. Then the synthesis result is compared
with the original. A high similarity indicates an adequate
significance of the parameter set. Various experiments are performed
to find a minimal set of significant parameters for the covariance
texture model. The histogram quantisation, the size, number and density
of the covariance matrices are reduced to define a minimal parameter
set for color micro textures.},
}