Automated chromosome classification using wavelet-based band pattern descriptors
Automated chromosome classification has been an important pattern recognition problem for decades. Numerous attempts were made in the past to characterize chromosome band patterns as part of the feature description vector. In this paper we describe a recent study to employ wavelet packets as basis function sets to compute chromosome band pattern features. A total of 28 wavelet packet basis function sets were evaluated in this study. The experimental results are presented and compared with those currently best-performing method on two benchmark chromosome datasets.