Hagen Soltau, Lidia Mangu, et al.
ASRU 2011
This article considers the image processing problem of texture recognition. It is shown that a chi-square test based upon a two-dimensional autoregressive model can be derived and can be used to test for differences between certain types of micro-textures. The chi-square test cannot be used with macro-textures, and another autoregressive-based distance measure is derived which is more suitable for these cases. It is shown experimentally that this distance measure affords a reliable means of classifying a broad class of micro- and macro-textures using a nearest-neighbour type of approach. © 1982.
Hagen Soltau, Lidia Mangu, et al.
ASRU 2011
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NAACL 2024
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Natural Language Engineering
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Journal of the ACM