A Texture Feature Extraction Technique Using 2D-DFT and Hamming Distance

Authors:
Tao Yu;Vallipuram Muthukkumarasamy;Brijesh Verma;Michael Blumenstein
Affiliations:
-;-;-;-
Venue:
ICCIMA '03 Proceedings of the 5th International Conference on Computational Intelligence and Multimedia Applications
Year:
2003

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Abstract

Texture analysis plays an increasingly important role in computer vision. Since the textural properties of images appear to carry useful information for discrimination purposes, it is important to develop significant features for texture. This paper presents a novel technique fortexture extraction and classification. The proposed feature extraction technique uses 2D-DFTtransformation. A combination of this technique and a Hamming Distance based neural network for classification of extracted features is investigated. The experimental results on abenchmark database and detailed analysis are presented.