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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