Dynamic Texture Classification Based on Dual-Tree Complex Wavelet Transform

Dynamic texture is a spatially repetitive, time-varying visual pattern that forms an image sequence with some spatio-temporal stationary properties. This paper proposes a dynamic texture classification algorithm based on the magnitude information and the phase information in dual-tree complex wavelet transform domain. The variance and entropy of the complex wavelet coefficients are used to form the dynamic texture feature vector. Experimental results show that the algorithm has a good effect and performance on dynamic texture classification.