Development of algorithms for detection of mechanical injury on white mushrooms (Agaricus bisporus) using hyperspectral imaging

A. A. Gowen; C. P. O'Donnell

doi:10.1117/12.818597

27 April 2009 Development of algorithms for detection of mechanical injury on white mushrooms (Agaricus bisporus) using hyperspectral imaging

A. A. Gowen, C. P. O'Donnell

Author Affiliations +

Proceedings Volume 7315, Sensing for Agriculture and Food Quality and Safety; 73150G (2009) https://doi.org/10.1117/12.818597
Event: SPIE Defense, Security, and Sensing, 2009, Orlando, Florida, United States

Abstract

White mushrooms were subjected to mechanical injury by controlled shaking in a plastic box at 400 rpm for different times (0, 60, 120, 300 and 600 s). Immediately after shaking, hyperspectral images were obtained using two pushbroom line-scanning hyperspectral imaging instruments, one operating in the wavelength range of 400 - 1000 nm with spectroscopic resolution of 5 nm, the other operating in the wavelength range of 950 - 1700 nm with spectroscopic resolution of 7 nm. Different spectral and spatial pretreatments were investigated to reduce the effect of sample curvature on hyperspectral data. Algorithms based on Chemometric techniques (Principal Component Analysis and Partial Least Squares Discriminant Analysis) and image processing methods (masking, thresholding, morphological operations) were developed for pixel classification in hyperspectral images. In addition, correlation analysis, spectral angle mapping and scaled difference of sample spectra were investigated and compared with the chemometric approaches.

Citation Download Citation

A. A. Gowen and C. P. O'Donnell "Development of algorithms for detection of mechanical injury on white mushrooms (Agaricus bisporus) using hyperspectral imaging", Proc. SPIE 7315, Sensing for Agriculture and Food Quality and Safety, 73150G (27 April 2009); https://doi.org/10.1117/12.818597

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