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Texture Classification Using Cyclic Spectral Function

Published • Jan 1, 2008
NobleIDNI8P41W05R31S76
Authors:
Mehdi Chehel Amirani
,
Ali Asghar Beheshti Shirazi

Abstract

In this paper, a new feature extraction technique for texture classification is proposed. Features are energy and standard deviation of spectral correlation function (SCF) of signals got from image at different regions of bifrequency plane. This scheme shows high performance in the classification of...

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