@article{scheunders_wavelet-based_1998,
	title = {Wavelet-based {Texture} {Analysis}},
	volume = {1},
	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 classi\#cation, including supervised image classi\#cation and unsupervised texture segmentation tasks. For these di\#erent aspects, a theoretical and practical survey is given, experiments and real-world applications of the literature are reviewed and some small-scale demonstration experiments are included. I. Introduction Texture is an important cue for the analysis of manytypes of images. The term is used to point to intrinsic properties of surfaces, especially those that don't have a smoothly varying intensity.It includes intuitive properties like roughness, granulation and regularity. More form...},
	journal = {Int. Journal of Computer Science and Information Management, Special issue on Image Processing (IJCSIM},
	author = {Scheunders, P. and Livens, S. and Wouwer, G. Van De and Vautrot, P. and Dyck, D. Van},
	year = {1998}
}

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