1997
@inproceedings{PHB1997,
vgclass = {refpap},
vgproject = {cbir},
author = {Jan Puzicha and Thomas Hofmann and Joachim M. Buhmann},
title = {Non-parametric similarity measures for unsupervised
texture segmentation and image retrieval},
booktitle = {Proceedings of the 1997 IEEE Conference on Computer Vision and Pattern Recognition (CVPR'97)},
address = {San Juan, Puerto Rico},
pages = {267--272},
month = {June},
year = {1997},
url = {http://ieeexplore.ieee.org/iel3/4821/13322/00609331.pdf},
abstract = {In this paper we propose and examine non-parametric
statistical tests to define similarity and homogeneity measures for
textures. The statistical tests are applied to the coefficients of
images filtered by a multi-scale Gabor filter bank. We demonstrate that
these similarity measures are useful for both, texture based image
retrieval and for unsupervised texture segmentation, and hence offer a
unified approach to these closely related tasks. We present results on
Brodatz-like micro-textures and a collection of real-word images.},
}