Observation and Measurement of Residual Bran on Milled Rice Surface Using Hyperspectral Imaging and Fluorescence Imaging
Date Issued
2014
Date
2014
Author(s)
Chen, Wei-Tung
Abstract
Rice is typically consumed after milling, a process of removing the husk and bran layers on rice surface. The degree of bran residue remaining on rice surface after milling directly affects the rice quality. And the bran layer of rice mainly composed of lipids. This work proposed to nondestructively detect bran residue on single rice grain using hyperspectral imaging (HSI) and fluorescence imaging (FRI). HSI and FRI are sensing techniques that combines both spatial and spectral information and may be used for chemical compound identification and quantification. In the HSI experiment, rice samples were milled and scanned using an HSI system. Afterward, the rice samples were dyed to enable the residual bran to be identified using optical microscopy and image processing algorithms. Classifiers were then developed to predict the rice bran residue by using the HSI measurements as inputs. In the FRI experiment, appropriate combinations of fluorescence excitation and emission wavelengths were identified. Fluorescence images of rice samples at these excitation and emission wavelength combinations were then acquired and were used as the inputs to the machine learning classifier. After that, the same staining procedure and model development performed in the HSI work were applied. Bran image were predicted by using the fluorescence images. The predicted images were compared with the micrograph images for classifier performance evaluation. The proposed HSI and FRI approaches could reasonably estimate the residual bran distribution on milled rice surface.
Subjects
稻米表面酯值殘留
高光譜影像
螢光影像
影像處理
支持向量機
Type
thesis
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