Multiresolution local binary pattern variants based texture feature extraction techniques for efficient classification of microscopic images of hardwood species

Research article (Applied Soft Computing, 2015) · cited 46× · AI/ML
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Multiresolution local binary pattern variants based texture feature extraction techniques for efficient classification of microscopic images of hardwood species

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Multiresolution local binary pattern variants based texture feature extraction techniques for efficient classification of microscopic images of hardwood species is a scholarly article[1].

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  • Multiresolution local binary pattern variants based texture feature extraction techniques for efficient classification of microscopic images of hardwood species's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Multiresolution local binary pattern variants based texture feature extraction techniques for efficient classification of microscopic images of hardwood species. Retrieved May 24, 2026, from https://4ort.xyz/entity/multiresolution-local-binary-pattern-variants-based-texture-feature-extraction-techniques-for-efficient-classification-o
MLA “Multiresolution local binary pattern variants based texture feature extraction techniques for efficient classification of microscopic images of hardwood species.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/multiresolution-local-binary-pattern-variants-based-texture-feature-extraction-techniques-for-efficient-classification-o.
BibTeX @misc{4ortxyz_multiresolution-local-binary-pattern-variants-based-texture-feature-extraction-techniques-for-efficient-classification-o_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Multiresolution local binary pattern variants based texture feature extraction techniques for efficient classification of microscopic images of hardwood species}}, year = {2026}, url = {https://4ort.xyz/entity/multiresolution-local-binary-pattern-variants-based-texture-feature-extraction-techniques-for-efficient-classification-o}, note = {Accessed: 2026-05-24}}
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