Structural texture recognition using QMF bank based subband decomposition

An application of quadrature mirror filter (QMF) bank based subband decomposition to texture analysis is presented. Two-dimensional four bands QMF structure is used and the QMF features are introduced. The low-low band extracts the information of spatial dependence, and the low-high, high-low and high-high bands extract the structural information. This approach has the twin advantages of efficient information extraction and computation reduction. The classification abilities of QMF features are compared to those of Haralick features. The experiments demonstrate that the QMF features have better performance than the Haralick features