Statistical and structural wavelet packet features for pit pattern classification in zoom-endoscopic colon images
Michael Liedlgruber, Andreas Uhl · 2007
Abstract: We discuss features extracted from a wavelet packet decomposition for image classification. Statistical features computed from wavelet packet coefficients are compared to structural features which are derived from an image dependent wavelet packet decomposition subband structure. Primary application area is the classification of pit pattern structures in zoom-endoscopic colon imagery, while results are also compared to the outcome of a classical texture classification application. Key–Words: image classification, texture classification, wavelet packets, pit pattern, colon zoom-endoscopy 1