Open Access
ARTICLE
Research on Rosewood Micro Image Classification Method Based on Feature Fusion and ELM
1
School of Information and Electrical Engineering, Shandong Jianzhu University, Jinan, 250101, China
2
School of Architecture and Urban Planning, Shandong Jianzhu University, Jinan, 250101, China
* Corresponding Author: Yisheng Gao. Email:
(This article belongs to the Special Issue: Functionalization of Wood and Bamboo-Based Materials)
Journal of Renewable Materials 2022, 10(12), 3587-3598. https://doi.org/10.32604/jrm.2022.022300
Received 03 March 2022; Accepted 02 April 2022; Issue published 14 July 2022
Abstract
Rosewood is a kind of high-quality and precious wood in China. The correct identification of rosewood species is of great significance to the import and export trade and species identification of furniture materials. In this paper, micro CT was used to obtain the micro images of cross sections, radial sections and tangential sections of 24 kinds of rosewood, and the data sets were constructed. PCA method was used to reduce the dimension of four features including logical binary pattern, local configuration pattern, rotation invariant LBP, uniform LBP. These four features and one feature not reducing dimension (rotation invariant uniform LBP) was fused with Gray Level CoOccurrence Matrix and Tamura features, respectively, a total of five fused features LBP+GLCM+Tamura, LCP +GLCM+Tamura,![](https://www.techscience.com/ueditor/files/jrm1.png)
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Graphical Abstract
![Research on Rosewood Micro Image Classification Method Based on Feature Fusion and ELM](https://cdn.techscience.cn/uploads/b52eefee42ec58dbd8b64a376f1606ff.png?t=20220620)
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