Comparative Analysis of Discriminant Wavelet Packet Features and
Department of Computer Science University of Warwick
given at strobl07 (17.06.07)
The idea of multiresolution analysis has been around for over two decades now. In this paper, we explore
a multiresolution analysis based technique for histopathological image classification and compare it with raw image
analysis. The principle idea for the former is to derive an optimal wavelet representation, called Adaptive Discriminant
Wavelet Packet Transform (ADWPT), of the images in order to achieve the largest discrimination power.
Our results show that the textural features combined with ADWPT yield a significant improvement in classification