Quantification and threshold detection in real-time hyperspectral imaging

Richard D. Driver

doi:10.1117/12.822559

27 April 2009 Quantification and threshold detection in real-time hyperspectral imaging

Richard D. Driver

Proceedings Volume 7315, Sensing for Agriculture and Food Quality and Safety; 73150L (2009) https://doi.org/10.1117/12.822559
Event: SPIE Defense, Security, and Sensing, 2009, Orlando, Florida, United States

Abstract

The technical challenges of applying hyperspectral imaging techniques to on-line real-time food monitoring is discussed. System optimization must be applied to the design of the hyperspectral imaging spectrograph, the choice and operation of the imaging detector, the design of the illumination system and finally the development of software algorithms to correctly quantify the hyperspectral images. The signal to noise limitation of hyperspectral detection is discussed with particular emphasis on the detection of moving objects at high measurement bandwidths. An example is given of the development of a simple but accurate algorithm for the detection and discrimination of rust particles on leaves.

Citation Download Citation

Richard D. Driver "Quantification and threshold detection in real-time hyperspectral imaging", Proc. SPIE 7315, Sensing for Agriculture and Food Quality and Safety, 73150L (27 April 2009); https://doi.org/10.1117/12.822559

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