Hyperspectral Imaging: Making Rich Colors More Visible

Light from an object contains continuous various colors, the spectrum of light, that result from the interaction between light and the object. Spectral measurement is thus the basis of remote sensing, allowing for highly accurate material analysis and image recognition. Although the world is full of colors, human being and standard color cameras receive light through their eyes/sensors and perceive it as only three primary colors of red (R), green (G), and blue (B). Hyperspectral (HS) imaging is a technology that splits and detects light into more colors than humans and color cameras can. The richer spectral information of HS image is promising for machine vision to provide more information than human eyes or color cameras in visual inspection of foods, industrial products, and so on.