A algorithm for rotation-invariant texture image retrieval based on Log Gabor wavelet
Guanghua Gu · Optical Technique · 2006
A rotation-invariant texture feature based on Log Gabor wavelet was presented for texture image retrieval.Texture image was decomposed based on Log Gabor wavelet.The feature was formed by making use of the means and standard deviations of the spectrums and combined with Hurst parameters.Then using the maximum orientation to rearrange the vectors,a rotation-invariant texture feature was got.In order to demonstrate the efficiency of the method for the general texture images,the experiments were carried on the rotation texture database and general Brodatz database respectively.Simulation results show that the proposed approach performed well in both of the experiments and the performance of this method is obviously better than the Gabor algorithm.