Lefcourt Alan M, Kim Moon S, Chen Yud-Ren
Instrumentation and Sensing Laboratory, U.S. Department of Agriculture, Agricultural Research Service, Building 303 Powder Mill Road, Beltsville, Maryland 20705, USA.
Appl Opt. 2005 Mar 1;44(7):1160-70. doi: 10.1364/ao.44.001160.
Detection of apples contaminated with feces is a public health concern. We found that time-resolved imaging of apples artificially contaminated with feces allowed optimization of timing parameters for detection. Dairy feces were applied to Red Delicious and Golden Delicious apples. Laser-induced fluorescence responses were imaged by use of a gated intensified camera. We developed algorithms to automatically detect contamination iteratively by using one half of the apples and validated them by applying the optimized algorithms to the remaining apples. Results show that consideration of the timing of fluorescence responses to pulsed-laser excitation can enhance detection of feces on apples.
检测受粪便污染的苹果是一个公共卫生问题。我们发现，对人工受粪便污染的苹果进行时间分辨成像可以优化检测的时间参数。将奶牛粪便涂抹在红富士苹果和金冠苹果上。使用门控增强相机对激光诱导的荧光响应进行成像。我们开发了算法，通过使用一半苹果来迭代自动检测污染情况，并将优化后的算法应用于其余苹果进行验证。结果表明，考虑对脉冲激光激发的荧光响应时间可以提高对苹果上粪便的检测能力。
