Rapid-transform based rotation invariant descriptor for texture classification under non-ideal conditions
A rotation invariant descriptor is proposed for adapting non-ideal conditions. The proposed descriptor is based on Rapid-transform which is shift invariant. Feature selection approach is designed to improve the performance of the descriptor. More robust descriptor is proposed under noise condition.
rtrid rapid-transform based rotation invariant descriptor osf-rtrid optimal feature subset of rtrid v2-rtrid version 2 of rtrid lbp local binary patterns sift scale-invariant feature transform rift rotation invariant feature transform gmrf gaussian markov random field cwt complex wavelet transform dwt discrete wavelet transform dft discrete fourier transform