Hyperspectral imaging combined with principal component analysis for bruise damage detection on white mushrooms (Agaricus bisporus)

By Aoife A. Gowen, Colm O'Donnell, M. Taghizadeh, P. Cullen, J. Frías, G. Downey. 2008

183 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/97b71fe45db0b83ecbbab0313fc46e8182f0283b

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Hui Huang
2. Da‐Wen Sun
3. Li Liu
4. Michael O. Ngadi
5. M. Taghizadeh
6. D. Lorente
7. José Blasco
8. Nuria Aleixos

Citations in the corpus

• Prediction of white button mushroom (Agaricus bisporus) moisture content using hyperspectral imaging (2009, background): “7 In order to separate the mushroom from the image background, the hyperspectral images at each wavelength were pre-processed by masking [31].”
• Recent Advances and Applications of Hyperspectral Imaging for Fruit and Vegetable Quality Assessment (2012, methodology): “…number of hyperspectral bands for bruise detection Xing et al. (2007b) Golden Delicious and Jonagold apples PCA & PLS Stem end/calyx end detection Gowen et al. (2008) White mushrooms PCA Bruise detection Zhao et al. (2010) Crystal pears PCA Bruise detection Li et al. (2011) Oranges PCA Bruise…”
• Principles, developments and applications of computer vision for external quality inspection of fruits and vegetables: A review (2014, unknown): “Mushroom Bruise detection H-CVS PCA 79–100% Gowen et al. (2008)”
• Non-destructive detection of blackspot in potatoes by Vis-NIR and SWIR hyperspectral imaging (2016, result): “449 Similar classification results were reported by Gowen et al. (2008) using hyperspectral imaging 450 and PCA for bruise damage detection in mushrooms.”
• Fast Prediction of Sugar Content in Dangshan Pear (Pyrus spp.) Using Hyperspectral Imagery Data (2018, methodology): “Gowen et al. (2008) found that the mean normalization is more suitable for correcting the spectral scatter variations in spherical fruit surfaces than the maximum and median methods.”
• Recent Developments in Hyperspectral Imaging for Assessment of Food Quality and Safety (2014, methodology): “Mushroom slice quality was measured in terms of moisture content, colour and texture [31,83,84] using MLR and principal components regression (PCR).”
• Application of Hyperspectral Imaging in Food Safety Inspection and Control: A Review (2012, background): “, 2005; 2006) Mushroom Bruises PCA 79%–100% (Gowen et al., 2008)”