Development of a multi-spectral vision system for the detection of defects on apples

By Olivier Kleynen, V. Leemans, M. Destain. 2005

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Detection of blueberry internal bruising over time using NIR hyperspectral reflectance imaging with optimum wavelengths (2017, background): “Multispectral vision systems have been developed to sort apples according to the presence of defects (Kleynen et al., 2005) and bruise (Huang et al., 2015), and to detect citrus canker (Qin et al., 2012) based on the selected wavelengths from HSI systems (Kleynen et al., 2003; Qin et al., 2009).”
Hyperspectral and multispectral imaging for evaluating food safety and quality (2013, background): “The multispectral imaging systems based on beam splitting devices have found many agricultural applications, especially for real-time and online inspection tasks (Aleixos et al., 2002; Kleynen et al., 2005; Kise et al., 2007; Lu and Peng, 2007; Park et al., 2007a,b; Qin et al., 2012).”
Recent Advances and Applications of Hyperspectral Imaging for Fruit and Vegetable Quality Assessment (2012, methodology): “A multispectral vision system developed by Kleynen et al. (2005) included four wavelength bands in the visible/NIR range for sorting apples cv.”