Wood species recognition through FGLAM textural and spectral feature fusion
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DOI: 10.1007/s00226-021-01262-0
Abstract: In this study, a method based on fuzzy gray level aura matrix (FGLAM) textural feature and spectral feature fusion is proposed to improve the accuracy of wood species classification. The experimental dataset is acquired by… read more here.
Keywords: fglam textural; wood species; fusion; feature ... See more keywords