Spectroscopy and Spectral Analysis, Volume. 42, Issue 7, 2290(2022)
Early Warning Method of Apple Spoilage Based on 2D Hyperspectral Information Representation With Pixel Mean and Variance
Fig. 3. The spectral data of apple samples based on the mean representation before and after SG treatment
(a): Before SG smoothing; (b): After SG smoothing
Fig. 4. The spectral data of apple samples based on the variance representation before and after SG treatment
(a): Before SG smoothing; (b): After SG smoothing
Fig. 5. The change of hue angle of apple samples with the storage days
Fig. 6. The spectral data of apple samples at 675.11 nm based on mean representation
Fig. 7. The Bhattacharyya distance results of hyperspectral information based on mean representation
Fig. 8. Bhattacharyya distance of hyperspectral information based on variance representation
Fig. 9. Bhattacharyya distance results based on 2D hyperspectral information representation with mean and variance
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Zhi-hao WANG, Yong YIN, Hui-chun YU, Yun-xia YUAN, Shu-ning XUE. Early Warning Method of Apple Spoilage Based on 2D Hyperspectral Information Representation With Pixel Mean and Variance[J]. Spectroscopy and Spectral Analysis, 2022, 42(7): 2290
Category: Orginal Article
Received: May. 31, 2021
Accepted: --
Published Online: Nov. 16, 2022
The Author Email: Zhi-hao WANG (2898721698@qq.com)