The development of the line-scan image recognition algorithm for the detection of frass on mature tomatoes

Chun-Chieh Yang; Moon S. Kim; Pat Millner; Kuanglin Chao; Diane E. Chan

doi:10.1117/12.918427

4 May 2012 The development of the line-scan image recognition algorithm for the detection of frass on mature tomatoes

Chun-Chieh Yang, Moon S. Kim, Pat Millner, Kuanglin Chao, Diane E. Chan

Proceedings Volume 8369, Sensing for Agriculture and Food Quality and Safety IV; 836908 (2012) https://doi.org/10.1117/12.918427
Event: SPIE Defense, Security, and Sensing, 2012, Baltimore, Maryland, United States

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.

Citation Download Citation

Chun-Chieh Yang, Moon S. Kim, Pat Millner, Kuanglin Chao, and 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); https://doi.org/10.1117/12.918427

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