Characterization of visually similar diffuse diseases from B-scan liver images with the nonseparable wavelet transform

Authors:
A. Mojsilovic;S. Markovic;M. Popovic
Affiliations:
-;-;-
Venue:
ICIP '97 Proceedings of the 1997 International Conference on Image Processing (ICIP '97) 3-Volume Set-Volume 3 - Volume 3
Year:
1997

Citing 0
Cited 2

Texture discrimination and analysis using optimized bi-orthogonal wavelet bases

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Diffuse liver disease classification from ultrasound surface characterization, clinical and laboratorial data

IbPRIA'11 Proceedings of the 5th Iberian conference on Pattern recognition and image analysis

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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.