Optimal wavelet basis for wavelet packets based meningioma subtype classification

Wavelets based analysis has been used frequently in literature for texture analysis and features extraction. Due to the availability of many wavelet filters, the issue of the selection of the optimal filter for a certain problem has always been an interesting research problem. In this paper, we present a study and comparative analysis of various wavelet filters for the problem of texture classification. The results are quite interesting as they identify wavelet properties that are desirable for wavelet based textural analysis and classification of meningioma subtypes