Abstract
In the paper a new method of binarization of grey scale regular textures is presented. The approach is based on a model considering the image points as a two dimensional lattice, on which a random walk of a virtual particle is investigated. The model assumes that the image points possess a potential energy equal to their grey scale values and the particle changes its position according to the Gibbs distribution. The described method assigns to each lattice point, the probability that the particle stays in its current position. The elements of in this way obtained matrix are then transformed and treated like the original image, and the same procedure is repeated. The successive iterations lead to a matrix, which is the binary representation of the initial texture. The main advantage of this method is its ability to binarize regular textures with nonuniform brightness.
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© 1997 Springer-Verlag Berlin Heidelberg
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Smolka, B., Wojciechowski, K.W. (1997). A new method of texture binarization. In: Sommer, G., Daniilidis, K., Pauli, J. (eds) Computer Analysis of Images and Patterns. CAIP 1997. Lecture Notes in Computer Science, vol 1296. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-63460-6_172
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DOI: https://doi.org/10.1007/3-540-63460-6_172
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