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Abstract: In this paper, texture analysis based on wavelet transformations is elaborated. The paper is meant as a practical guideline through some aspects of a wavelet-based texture analysis task. The following aspects of the problem are discussed: discrete and continuous wavelet decompositions, texture features for grey-level textures, extensions to colour texture and rotation-invariant features, and classification, including supervised image classification and unsupervised texture segmentation tasks.... (Update)
Context of citations to this paper: More
...[5, 20, 21, 39, 7, 27, 30] 2. Models based on the ltering theory, especially Gabor lters cf [23, 44] or wavelets (cf [53, 16, 6, 24, 19, 50, 10]) We have chosen to use the wavelets approach which give an excellent way to decompose a signal in di erent sub bands in which...
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BibTeX entry: (Update)
P. Scheunders, S. Liven, G. Van de Wouwer, P. Vautrot, and D. Van Dyck. Wavelet-based texture analysis. International Journal Computer Science and Information management, December 1997. http://citeseer.ist.psu.edu/article/scheunders97waveletbased.html More
@article{ wouwer98a,
author = "P. Scheunders and S. Livens and G. Van de Wouwer and P. Vautrot and D. Van Dyck",
title = "Wavelet-based Texture Analysis",
journal = "International Journal on Computer Science and Information Management, ijcsim",
volume = "1",
number = "2",
pages = "22--34",
year = "1998",
url = "citeseer.ist.psu.edu/article/scheunders97waveletbased.html",
url = "http://wcc.ruca.ua.ac.be/~visielab/papers/ijcsim.ps.gz",
keywords = "texture Analysis, Wavelet decomposition, classify texture, segment texture, feature extraction" }
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