Texture modeling and classification in wavelet feature space
Mahdad Nouri Shirazi, Hideki Noda, Nobuteru Takao · 2002
One difficulty of texture analysis and classification in the past was the lack of adequate tools to characterize textures over different scales. Previous developments in multiresolution analysis, such as the wavelet transform, promise ways to overcome this difficulty. We present a texture classification algorithm based on Markov modeling of intrascale and interscale statistical regularities of textures in the wavelet domain. The model provides an accurate multiscale texture representation and underlies a classification algorithm with a high classification rate.