Jan Puzicha, Thomas Hofmann and Joachim M. Buhmann,
Non-parametric similarity measures for unsupervised
texture segmentation and image retrieval,
In Proceedings of the 1997 IEEE Conference on Computer Vision and Pattern Recognition (CVPR'97),
San Juan, Puerto Rico, pp. 267-272, June 1997.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.