Abstract
This paper contains a survey of image texture analysis techniques. Three broad classes of methods are discussed: pixel-based, local-feature based and region-based. The pixelbased models include grey level cooccurrence matrices, difference histograms and energy-measures. The local feature-based models mostly rely on edges as local features and include Marr’s primal sketch model and a generalization of cooccurrence matrices. Region-based models include a region-growing model and a topographic model which treats the texture image as a digital terrain model.
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© 1981 D. Reidel Publishing Company
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Davis, L.S. (1981). Image Texture Analysis Techniques - A Survey. In: Simon, J.C., Haralick, R.M. (eds) Digital Image Processing. NATO Advanced Study Institutes Series, vol 77. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-8543-8_11
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DOI: https://doi.org/10.1007/978-94-009-8543-8_11
Publisher Name: Springer, Dordrecht
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