2005
DOI: 10.1088/0957-0233/16/6/018
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Detection of foreign materials in cotton using a multi-wavelength imaging method

Abstract: Technologies currently in use cannot effectively detect foreign materials in cotton because they appear the same as the cotton fibres. The objective of this research was to develop a multiwavelength imaging system (MIS) for detecting foreign materials in the spectral region from 405 nm to 940 nm. This method is based on the principle that different materials have different spectral absorptions and reflectance characteristics. Through experiments, we determined an optimal wavelength for detecting each particula… Show more

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Cited by 16 publications
(5 citation statements)
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References 9 publications
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“…The reasons for choosing narrow spectral regions were (1) to compare the model performances from the characteristic bands in different spectral ranges, and (2) to facilitate the development of portable optical and spectral imaging sensors in either the visible or NIR region. 19,20 For each model, the classification efficiency was assessed by the sample numbers corrected classified, and the statistics in calibration and validation sets from seven spectral regions are compared in Table 2.…”
Section: Classification Modelsmentioning
confidence: 99%
“…The reasons for choosing narrow spectral regions were (1) to compare the model performances from the characteristic bands in different spectral ranges, and (2) to facilitate the development of portable optical and spectral imaging sensors in either the visible or NIR region. 19,20 For each model, the classification efficiency was assessed by the sample numbers corrected classified, and the statistics in calibration and validation sets from seven spectral regions are compared in Table 2.…”
Section: Classification Modelsmentioning
confidence: 99%
“…therefore, researchers have been developing various spectral-based techniques, infrared (Ir), near infrared (nIr), fluorescence and imaging, for use in the detection and identification of trash in lint cotton. [12][13][14][15][16][17][18][19][20][21] among them, nIr spectroscopy is an alternative technique due to the speed, low-cost, ease of use and potential on-line/off-line implementations. It has been successfully applied for the quantification of reducing sugars on the cotton surface and for the prediction of cotton colour and physical attributes.…”
Section: Introductionmentioning
confidence: 99%
“…Jia and Ding developed a multi-wavelength imaging system for detecting foreign fibers. An image fusion algorithm based on wavelet analysis was created to acquire complete information on foreign fibers [4]. Jia and Ding also used foreign fibers which are difficult to identify by humans in their further experiments.…”
Section: Introductionmentioning
confidence: 99%