Texture Classification Using Phase Congruency
MA Ya · 2014
This paper presented a Phase congruency(PC)based method for texture classification.First,PC is computed in an image.Then,the continuous values are digitalized.Finally,the PC histograms of images are constructed and used to classify the texture images.The PC histogram reflects the global characteristic and it can be combined with the Local Binary Pattern(LBP)methods to improve the description efficiency.The experiments on Outex,Brodatz and CUReT show that better results are obtained by combining PC and LBP methods.PC has a good noise tolerance and the experiments show that the combination achieves promising results in noise cases.