2015
DOI: 10.1016/j.ijpharm.2015.06.012
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Classification of drug tablets using hyperspectral imaging and wavelength selection with a GAWLS method modified for classification

Abstract: Right drug tablets must be brought to the right places. We apply hyperspectral imaging, which can measure infrared spectra at many points on a two-dimensional plane, to classify tablets correctly. The k-nearest neighbor algorithm (kNN) is employed to classify tablets using a database including their spectra and true classes. Although classification accuracy is not 100%, we can correctly classify tablets overall, since spectra at many points are measured with spectroscopy and misclassification at some points do… Show more

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Cited by 8 publications
(3 citation statements)
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“…The class of the query sample is determined as the one to which the most K known samples belonged. (Guo, Hui, Bell, Bi, & Greer, 2003; Kaneko & Funatsu, 2015) Therefore, the value K is critical to the final result of modeling. In the present work, cross‐validation (CV) and the Mahalanobis distance which was used as a distance measure were employed to choose an appropriate value for K.…”
Section: Methodsmentioning
confidence: 99%
“…The class of the query sample is determined as the one to which the most K known samples belonged. (Guo, Hui, Bell, Bi, & Greer, 2003; Kaneko & Funatsu, 2015) Therefore, the value K is critical to the final result of modeling. In the present work, cross‐validation (CV) and the Mahalanobis distance which was used as a distance measure were employed to choose an appropriate value for K.…”
Section: Methodsmentioning
confidence: 99%
“…Tablets of the same color but different types often appear in the drug sorting process of pharmaceutical companies. At this time, industrial cameras are not able to distinguish the tablets, and hyperspectral imaging technology is helpful to classify and sort the tablets with the characteristics of different light reflectance on the surface of different drug components [86][87][88][89]. Figure 8 shows visualized results of drugs image segmentation and classification.…”
Section: Sorting Detection Of Different Types Of Tabletsmentioning
confidence: 99%
“…The application of related drug detection provides a precedent for hyperspectral imaging detection. Kaneko et al, [88] introduced an infrared hyperspectral detection method to sort pharmaceutical tablets using the nearest neighbor algorithm. In addition, it combines genetic algorithms to select characteristic wavelengths, and finally realizes the sorting of three experimental tablets.…”
Section: Sorting Detection Of Different Types Of Tabletsmentioning
confidence: 99%