A Pulsed Thermographic Imaging System for Detection and Identification of Cotton Foreign Matter.
A Pulsed Thermographic Imaging System for Detection and Identification of Cotton Foreign Matter.
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DOI：
10.3390/s17030518
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发表时间：
2017-03-04
期刊：
影响因子：
--
通讯作者：
Li C
中科院分区：
文献类型：
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作者：
Kuzy J;Li C
棉花杂质的检测是棉花质量准确分级的重要手段，也是影响棉花市场的重要因素。目前的分级系统返回存在的异物量的估计值，但不提供关于污染物的身份的信息。探讨了利用脉冲热像分析技术检测和识别棉花异物的方法。介绍了一种脉冲热像分析系统的设计与实现。收集了240个异物和棉绒样品的样品组。手工制作的波形特征和频域特征被提取并分析统计显著性。使用线性判别分析和支持向量机对这些特征进行分类。利用波形特征和支持向量机分类器对棉花异物进行检测，准确率为99.17%。使用频域特征和线性判别分析，识别进行了90.00%的准确率。这些结果表明，脉冲热成像分析产生的数据，这是棉花异物的检测和识别的重要实用程序。
Detection of foreign matter in cleaned cotton is instrumental to accurately grading cotton quality, which in turn impacts the marketability of the cotton. Current grading systems return estimates of the amount of foreign matter present, but provide no information about the identity of the contaminants. This paper explores the use of pulsed thermographic analysis to detect and identify cotton foreign matter. The design and implementation of a pulsed thermographic analysis system is described. A sample set of 240 foreign matter and cotton lint samples were collected. Hand-crafted waveform features and frequency-domain features were extracted and analyzed for statistical significance. Classification was performed on these features using linear discriminant analysis and support vector machines. Using waveform features and support vector machine classifiers, detection of cotton foreign matter was performed with 99.17% accuracy. Using frequency-domain features and linear discriminant analysis, identification was performed with 90.00% accuracy. These results demonstrate that pulsed thermographic imaging analysis produces data which is of significant utility for the detection and identification of cotton foreign matter.