1997 International Conference on Image Processing (ICIP'97) - Volume 3 Characterization of visually similar diffuse diseases from B-scan liver images with the nonseparable wavelet transform Washington, DC October 26-October 29 ISBN: 0-8186-8183-7
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.
Index Terms:
biomedical ultrasonics; B-scan liver images; nonseparable wavelet transform; visually similar diffuse diseases; nonseparable wavelet decomposition; liver diseases; feature extraction algorithm; filter bank; quincunx transform; image texture; channel variances; diagnostic ultrasound; classification experiments; tissue types
Citation:
A. Mojsilovic, S. Markovic, M. Popovic, "Characterization of visually similar diffuse diseases from B-scan liver images with the nonseparable wavelet transform," icip, vol. 3, pp.547, 1997 International Conference on Image Processing (ICIP'97) - Volume 3, 1997 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||