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首页> 外文期刊>Transactions of the ASABE >Multispectral detection of fecal contamination on apples based on hyperspectral imagery - Part II: application of hyperspectral fluorescence imaging
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Multispectral detection of fecal contamination on apples based on hyperspectral imagery - Part II: application of hyperspectral fluorescence imaging

机译：基于高光谱图像的苹果粪便污染的多光谱检测-第二部分：高光谱荧光成像的应用

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Pathogenic E. coli contamination in unpasteurized apple juice or cider is thought to originate from animal feces, and fecal contamination of apples has been recognized by the FDA as an important health issue. In a companion article, reflectance imaging techniques were shown inadequate for the detection of thin smears of feces applied to apples. The objective of this study was to evaluate the use of fluorescence imaging techniques to detect fecal contamination on apple surfaces. A hyperspectral imaging system based oil a spectrograph, camera, and UV light source was used to obtain hyperspectral images of Red Delicious, Fuji, Golden Delicious, and Gala apples. Fresh dairy feces were applied to each apple as both a thick patch and as a thin smear Results indicate that multispectral fluorescence techniques can be used to effectively detect fecal contamination on apple surfaces. Both principal component analysis and examination of emission maxima identified the same four multispectral bands (450, 530, 685, and 735 nm) as being the optimal bands to allow discrimination of contaminated apple surfaces. Furthermore, the simple two-band ratio (e.g., 685 to 450 nm) reduced the variation in normal apple surfaces while accentuating differences between contaminated and uncontaminated areas. Because of the limited sample size, delineation of an optimal detection scheme is beyond the scope of the current study. However the results suggest that use of multispectral fluorescence techniques for detection of fecal contamination on apples in a commercial setting may be feasible.
机译：未巴氏杀菌的苹果汁或苹果酒中的致病性大肠杆菌污染被认为是源自动物的粪便，而苹果的粪便污染已被FDA视为重要的健康问题。在随附的文章中，反射成像技术显示不足以检测应用于苹果的稀薄粪便。这项研究的目的是评估使用荧光成像技术检测苹果表面粪便的污染情况。基于光谱仪，照相机和紫外光源的高光谱成像系统用于获得Red Delicious，Fuji，Golden Delicious和Gala苹果的高光谱图像。将新鲜的乳类粪便以浓密的斑点和薄涂的形式施用于每个苹果。结果表明，多光谱荧光技术可用于有效检测苹果表面上的粪便污染。主成分分析和发射最大值检查都将相同的四个多光谱带（450、530、685和735 nm）确定为最佳带，以区分受污染的苹果表面。此外，简单的两波段比率（例如685至450nm）减少了正常苹果表面的变化，同时加重了受污染区域和未受污染区域之间的差异。由于有限的样本量，最佳检测方案的描述超出了当前研究的范围。但是，结果表明，在商业环境中使用多光谱荧光技术检测苹果粪便污染是可行的。

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