Characterization of visually similar diffuse diseases from B-scan liver images with the nonseparable wavelet transform
- 23 November 2002
- proceedings article
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 3, 547-550
- https://doi.org/10.1109/icip.1997.632179
Abstract
This paper describes the application of the nonseparable wavelet decomposition for the discrimination of diffuse diseases of liver. The proposed feature extraction algorithm uses the filter bank performing the quincunx transform and characterizes textures by a set of channel variances estimated at the output of each filter. Classification experiments on a set of three different tissue types show that this approach could be a reliable method for analysis of B-scan liver images.Keywords
This publication has 5 references indexed in Scilit:
- Wavelet image extension for analysis and classification of infarcted myocardial tissueIEEE Transactions on Biomedical Engineering, 1997
- Nonseparable multidimensional perfect reconstruction filter banks and wavelet bases for R/sup n/IEEE Transactions on Information Theory, 1992
- Ten Lectures on WaveletsPublished by Society for Industrial & Applied Mathematics (SIAM) ,1992
- The sampling and reconstruction of time-varying imagery with application in video systemsProceedings of the IEEE, 1985
- Multi-dimensional sub-band coding: Some theory and algorithmsSignal Processing, 1984