4 May 2012 The development of the line-scan image recognition algorithm for the detection of frass on mature tomatoes
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Abstract
In this research, a multispectral algorithm derived from hyperspectral line-scan fluorescence imaging under violet LED excitation was developed for the detection of frass contamination on mature tomatoes. The algorithm utilized the fluorescence intensities at two wavebands, 664 nm and 690 nm, for computation of the simple ratio function for effective detection of frass contamination. The contamination spots were created on the tomato surfaces using four concentrations of aqueous frass dilutions. The algorithms could detect more than 99% of the 0.2 g/ml and 0.1 g/ml frass contamination spots and successfully differentiated these spots from clean tomato surfaces. The results demonstrated that the simple multispectral fluorescence imaging algorithms based on violet LED excitation can be appropriate to detect frass on tomatoes in high-speed post-harvest processing lines.
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Chun-Chieh Yang, Chun-Chieh Yang, Moon S. Kim, Moon S. Kim, Pat Millner, Pat Millner, Kuanglin Chao, Kuanglin Chao, Diane E. Chan, Diane E. Chan, } "The development of the line-scan image recognition algorithm for the detection of frass on mature tomatoes", Proc. SPIE 8369, Sensing for Agriculture and Food Quality and Safety IV, 836908 (4 May 2012); doi: 10.1117/12.918427; https://doi.org/10.1117/12.918427
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