Texture Feature Extraction Using Teager Filters And Singular Value Decomposition
Hatipoglu, Mitra · 1998
The use of singular value decomposition (SVD) values and quadratic Teager filters for image characterization is investigated. SVD values and Teager filter outputs represent different characteristics of the image texture and this property is utilized to efficiently characterize the image. Local energy values of the image texture are found by using 2-D energy filters. Filter outputs are combined with the eigenvalues obtained from SVD of local image portions and they form the feature vector for the given image.