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首页> 外文期刊>Sensing and Instrumentation for Food Quality and Safety >The development of a simple multispectral algorithm for detection of fecal contamination on apples using a hyperspectral line-scan imaging system.
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The development of a simple multispectral algorithm for detection of fecal contamination on apples using a hyperspectral line-scan imaging system.

机译：使用高光谱线扫描成像系统开发了一种用于检测苹果粪便污染的简单多光谱算法。

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摘要

Foodborne diseases are of serious concern to public health. It is necessary to develop fast and reliable non-destructive detection methods to improve food product monitoring for the food industry. This research was conducted to investigate hyperspectral fluorescence imaging using violet/blue LED excitation to develop a multispectral algorithm for detection of fecal contamination on Golden Delicious apples. From the hyperspectral image data, four wavebands, 680, 684, 720, and 780 nm, were selected for potential use in a multispectral detection algorithm. The algorithm could detect 96-100% of different dilutions of feces on apples. The highly successfully detection of feces showed that a simple multispectral fluorescence imaging algorithm based on violet/blue LED excitation can be used to detect fecal contamination on apple processing lines.
机译：食源性疾病是公共卫生的严重问题。有必要开发快速，可靠的无损检测方法，以改善食品工业对食品的监测。进行这项研究以研究使用紫/蓝LED激发的高光谱荧光成像技术，以开发一种用于检测Golden Delicious苹果中粪便污染的多光谱算法。从高光谱图像数据中，选择了680、684、720和780 nm四个波段，可用于多光谱检测算法。该算法可以检测苹果中粪便不同稀释度的96-100％。粪便的高度成功检测表明，基于紫/蓝LED激发的简单多光谱荧光成像算法可用于检测苹果加工线上的粪便污染。

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