@INPROCEEDINGS { Rsds3562,
author = {Swiniarski, Roman W.}, 
title = {Rough Sets Expert System For Robust Texture Classification Based on 2D Fast Fourier Transformation Spectral Features}, 
booktitle = {Proceedings of the Fourth International Workshop on Rough Sets, Fuzzy Sets, and Machine Discovery}, 
conference = {International Workshop on Rough Sets, Fuzzy Sets, and Machine Discovery}, 
pages = {419--425}, 
publisher = {Japanese Research Group on Rough Sets}, 
address = {Tokyo, Japan}, 
month = {November}, 
year = 1996, 
editor = {Tsumoto, Shusaku and Kobayashi, Satoshi and Yokomori, Takashi and Tanaka, Hiroshi and Nakamura, Akira}, 
isbn = {4-947717-01-7}, 
abstract = {The paper describes results of study relating to an application of rough sets for texture classification. The features has been extracted based on processed spectral 2D FFT transformation. The best sets of features for robust classification has been selected based on rough sets techniques. For classification the rough set expert system has been applied based on reduced sets of computed features. From the initially large number of features the best reduced set of continuous feature spaces into regions suitable for an application of rough sets for reduction of feature sets has been applied. Eventually, the rough sets based expert system classifier was designed for robust texture classification using reduced number of features.}, 
keywords = {rough sets, classification, texture recognition, }, 
}