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Wood species recognition from wood images with an...
Journal article

Wood species recognition from wood images with an improved CNN

Abstract

With the development of convolutional neural networks, aiming at the problem of low efficiency and low accuracy in the process of wood species recognition, a recognition method using an improved convolutional neural network is proposed in this article. First, a large-scale wood dataset was constructed based on the WOOD-AUTH dataset and the data collected. Then, a new model named W_IMCNN was constructed based on Inception and mobilenetV3 …

Authors

Miao Y; Zhu S; Huang H; Li J; Wei X; Ma L; Pu J

Journal

Journal of Intelligent & Fuzzy Systems, Vol. 42, No. 6, pp. 5031–5040

Publisher

SAGE Publications

DOI

10.3233/jifs-211097

ISSN

1064-1246