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- W2161672562 abstract "This paper suggests a set of texture features based on a 2-D symbol description and the calculation of co-occurrence matrices. A hierarchical algorithm based on these features is also proposed. This algorithm gives out the correct classification rate as 96.5% while the algorithm based on the gray level co-occurrence matrix features as 67.5% and that based on the bank energies as 75%." @default.
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- W2161672562 date "2002-11-28" @default.
- W2161672562 modified "2023-09-25" @default.
- W2161672562 title "Texture classification based on feature symbol random field" @default.
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- W2161672562 doi "https://doi.org/10.1109/icosp.1998.770757" @default.
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