Bark texture classification using improved local ternary patterns and multilayer neural network

作者：

Highlights：

• Tree species identification using bark texture information.

• Improving the discrimination performance of local ternary patterns.

• Optimizing a multi layer neural network to classify bark textures.

摘要

•Tree species identification using bark texture information.•Improving the discrimination performance of local ternary patterns.•Optimizing a multi layer neural network to classify bark textures.

论文关键词：Bark texture classification,Texture analysis,Tree identification,Local ternary patterns,Multi-layer perceptron

论文评审过程：Received 16 August 2019, Revised 7 April 2020, Accepted 1 May 2020, Available online 7 May 2020, Version of Record 20 May 2020.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.113509