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== Background ==
Texture can be regarded as a similarity grouping in an image. Traditional texture analysis can be divided into four major issues: feature extraction, texture discrimination, texture classification and shape from texture(to reconstruct 3D surface geometry from texture information). For tradition feature extraction, approaches are usually categorized into structural, statistical, model based and transform.<ref>{{cite book|last1=Duda|first1=R.O.|title=Pattern Classification and Scene Analysis|isbn=978-0471223610|date=1973-02-09|publisher=Wiley |url-access=registration|url=https://archive.org/details/patternclassific00rich}}</ref>
Wavelet transformation is a popular method in numerical analysis and functional analysis, which captures both frequency and ___location information. Gray level co-occurrence matrix provides an important basis for SCM construction.
SCM based on discrete wavelet frame transformation make use of both correlations and feature information so that it combines structural and statistical benefits.
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