Abstract
Motivated by the discovery of the high level texture features responsible for perceptual grouping of textures [11] and the development of the Markov-Gibbs texture model with pairwise pixel interactions [9], we have recently proposed the method of feature based interaction maps (FBIM) and applied this new tool to the problem of pattern orientation [4] and rotation-invariant texture classification [7]. Experimental results have demonstrated that the FBIM approach can be used to recover the basic structural properties and orientation of a wide range of patterns, including weak structures.
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References
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Chetverikov, D. (1997). Texture feature based interaction maps: potential and limits. In: Solina, F., Kropatsch, W.G., Klette, R., Bajcsy, R. (eds) Advances in Computer Vision. Advances in Computing Science. Springer, Vienna. https://doi.org/10.1007/978-3-7091-6867-7_9
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DOI: https://doi.org/10.1007/978-3-7091-6867-7_9
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