Li Yan, Peng Jia-xiong. Wavelet Transform Based Multiscale Hurst Parameter Texture Features and Its Application[J]. Acta Electronica Sinica, 2002, 30(7): 1041-1043.
DOI:
Li Yan, Peng Jia-xiong. Wavelet Transform Based Multiscale Hurst Parameter Texture Features and Its Application[J]. Acta Electronica Sinica, 2002, 30(7): 1041-1043.DOI:
Wavelet Transform Based Multiscale Hurst Parameter Texture Features and Its Application
The Extended self-similar model(ESS)is a general fractional Brownian motion(fBm) model.Its multiscale Hurst parameters have relations with roughness.In the meantime
it doesn't require the roughness to be scale-invariant as fractal dimensions do.The multiscale Hurst parameters can discriminate a large number of natural textures and are suitable to be used for texture classification.Its structure function is based on the difference of the gray levels at some scale.This can be defined by the difference of the lower subband signal.Because wavelet transform has the ability of reducing the noise
the derived features performed better.Our experiments show that higher rate of correct classification to SPOT image is obtained.In the meantime it shows that the texture's self-similarity is more evident in lower subband than that in gray level.