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The prototype system developed in this research was a three-band spectral imaging system that acquired two visible-band images and one NIR image simultaneously.
(a) A NIR image is taken with sample A. (b) A NIR is taken with sample B. (c) A NIR is taken with sample C. (d f) Close up images of the scale shown in center of the upper panels (a c).
The candidate defective regions segmented and extracted from the RGB apple image captured with the same multispectral camera are classified as the true defects or the stem-ends/calyxes by using the result of the stem-end/calyx identification in the NIR image.
Visible and NIR image of the stems of the H and E tuning pegs.
NIR image of the E, F, G and H tuning pegs.
Figure 5 In vivo NIR image and 19 F-MR image of the sentinel lymph nodes.
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Our previous work has demonstrated the sensitivity of 850 nm NIR images to early caries lesions and demineralization.
In Fig. 7, we show NIR images of prototype samples with same optical setting except an IR pass filter is used instead of an IR-cut filter.
Principal component analysis (PCA) based model of NIR images was applied to map the ribbon porosity distribution.
The NIR images taken by the demo camera equip with a C-mount lens show 75% sensitivity enhancement in the λ = 700 1200 nm wavelength range with negligible spatial resolution degradation.
Secondly, texture features derived from the panchromatic images at different window sizes and with different grey levels were added as a fifth band to the R, G, B, NIR images to carry out the MLC.
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