Aleksandra Mojsilovic, Miodrag Popovic, Srdjan Markovic, Miodrag Krstic  Home/Search
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Abstract: This paper describes a new approach for texture characterization, based on nonseparable wavelet decomposition, and its application for the discrimination of visually similar diffuse diseases of liver. The proposed feature-extraction algorithm applies nonseparable quincunx wavelet transform and uses energies of the transformed regions to characterize textures. Classification experiments on a set of three different tissue types show that the scale/frequency approach, particularly one based on the ... (Update)
Context of citations to this paper: More
.... This approach has been justified with high classification accuracy achieved in all experiments and practical applications [5] 6] [13]. The scope of this paper is to investigate whether the properties of decomposition filters (regularity, vanishing moments, degree of shift...
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BibTeX entry: (Update)
A. Mojsilovic, S. Markovic, and M. Popovic, "Characterization of visually similar diffuse diseases from B-scan liver images with the nonseparable wavelet transform," Proc. 1997. http://citeseer.ist.psu.edu/mojsilovic97characterization.html More
@inproceedings{ mojsiloviccharacterization,
author = "A. Mojsilovic and S. Markovic and M. Popovic",
title = "Characterization of Visually Similar Diffuse Diseases from {B-Scan} Liver Images with the Nonseparable Wavelet Transform",
pages = "547--550",
url = "citeseer.ist.psu.edu/mojsilovic97characterization.html" }
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