Peng ZHAO, Jin-cheng HAN, Cheng-kun WANG. Wood Species Classification With Microscopic Hyper-Spectral Imaging Based on I-BGLAM Texture and Spectral Fusion[J]. Spectroscopy and Spectral Analysis, 2021, 41(2): 599
- Spectroscopy and Spectral Analysis
- Vol. 41, Issue 2, 599 (2021)
Fig. 1. Two-dimensional grayscale images of eight sample woods
(a): Red oak; (b): Merbau; (c): Talisai; (d): African padauk; (e): Basralocus; (f): Teak; (g): Silky oak; (h): Medang
(a): Red oak; (b): Merbau; (c): Talisai; (d): African padauk; (e): Basralocus; (f): Teak; (g): Silky oak; (h): Medang
Fig. 2. Image preprocessing
(a): Feature band selection; (b): Image fusion
(a): Feature band selection; (b): Image fusion
Fig. 3. Pixel value compression results
(a): The original image; (b): Compressed image
(a): The original image; (b): Compressed image
Fig. 4. I-BGLAM characteristic curve
Fig. 5. Average spectral curves of 8 wood samples
Fig. 6. Flow chart of the experimental process
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Table 1. Details of the sample wood
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Table 2. Classification accuracy using different features
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Table 3. The highest classification accuracy rate of this article and other methods
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