Development of hyperspectral imaging technique for the detection of apple surface defects and contaminations

By P. Mehl, Yud-Ren Chen, Moon S. Kim, D. Chan. 2004

346 citations recorded by the source corpus.

Subfields: Analytical Chemistry, Biochemistry, Food Science

View Paper: https://www.semanticscholar.org/paper/d07d4cb7f9e289a04b9e43ad27ce6a66386731c3

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In Analytical Chemistry

In Biochemistry

In Food Science

Citations in the corpus

Principles, developments and applications of computer vision for external quality inspection of fruits and vegetables: A review (2014, methodology): “Apple Defect detection H-CVS SD, PCA – Mehl et al. (2004)”
Detection of early bruises in apples using hyperspectral data and thermal imaging (2012, methodology): “It was shown that the contaminated and damaged portions of the apples were more distinguishable from the normal portions when using the asymmetric second difference method for analyzing hyperspectral images of apple surface in the range of 424– 899 nm (Mehl et al., 2004).”
A Nondestructive Method for Prediction of Total Viable Count in Pork Meat by Hyperspectral Scattering Imaging (2014, background): “2011; Peng and Lu 2007, 2008), to detect apple surface defects/contamination (Kim et al. 2002; Liu et al. 2007; Mehl et al. 2004), to identify poultry contaminants (Lawrence et al.”
Application of Hyperspectral Imaging in Food Safety Inspection and Control: A Review (2012, methodology): “Meanwhile, application of uniform power transformation as well as second difference can also reach similar performance (Lefcourt et al., 2005a; 2005c; Lefcout and Kim, 2006; Mehl et al., 2004).”
Application of hyperspectral imaging for prediction of physico-chemical and sensory characteristics of table grapes (2012, background): “, 2005), and soluble solid content, bitter pit, bruise and surface defects and contaminations in apple fruit (Peri et al., 2005; Nicolaï et al., 2006; Xing et al., 2005; Mehl et al., 2004).”
Near-infrared hyperspectral reflectance imaging for detection of bruises on pickling cucumbers (2006, methodology): “…quality and safety inspection of agricultural products, such as bruises and other defects on apples (Lee et al., 2005; Lu, 2003; Lu et al., 1999; Mehl et al., 2004), fecal contamination on apples and poultry carcasses (Kim et al., 2002; Park et al., 2002), and the ripeness of tomatoes (Polder…”
Identification of Bruise and Fungi Contamination in Strawberries Using Hyperspectral Imaging Technology and Multivariate Analysis (2018, background): “For example, it could detect the defects on apples and oranges (Mehl et al. 2004; Li et al. 2011), the internal injuries in peaches and, chilling cucumbers (Pan et al. 2017; Cen et al. 2016), the ripeness and quality of strawberry (Elmasry et al. 2007; Zhang et al. 2016), and different levels of…”
Principles and Applications of Hyperspectral Imaging in Quality Evaluation of Agro-Food Products: A Review (2012, background): “, 2009) and is particularly well suited to conveyor belt systems, and may therefore be more practical than the former ones for food industry applications (Mehl et al., 2004).”
NIR Spectroscopy Applications for Internal and External Quality Analysis of Citrus Fruit—A Review (2012, methodology): “Basically, the development of the multispectral and hyperspectral imaging provides the possibility to capture images not only in the visible range but also extend to capture multiple images at different wavelengths in the vis–NIR regions (Mehl et al. 2004; Nicolaï et al. 2006; Qin et al. 2008).”
Application of Visible Hyperspectral Imaging for Prediction of Springiness of Fresh Chicken Meat (2015, neutral): “2011), fruit ( Mehl et al. 2004), pork (Qiao et al.”
Examination of the quality of spinach leaves using hyperspectral imaging (2013, methodology): “…spectrum (Liu et al., 2003), stepwise 13 regression (Chong and Jun, 2005), orthogonal projection methods such as principal14 component analysis (Mehl et al., 2004); (Xing and De Baerdemaeker, 2005) or CovSel15 method (Roger et al., 2011), a priori knowledge of pigment spectral signatures…”