2016
DOI: 10.5539/apr.v8n3p32
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Structured Laser Illumination Planar Imaging Based Classification of Ground Coffee Using Multivariate Chemometric Analysis

Abstract: Most commercially available ground coffees are processed from Robusta or Arabica coffee beans. In this work, we report on the potential of Structured Laser Illumination Planar Imaging (SLIPI) technique for the classification of five types of Robusta and Arabica commercial ground coffee samples (Familial, Belier, Brazil, Colombia and Malaga). This classification is made, here, from the measurement of the extinction coefficient µ e and of the optical depth OD by means of SLIPI. The proposed technique offers the… Show more

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Cited by 5 publications
(4 citation statements)
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References 12 publications
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“…Kristensson and coworkers have also used the same idea in the context of imaging of molar extinction coefficients of turbid media [13]. And most recently Olivier K. Bagui et al have used it for classifying groups of coffee [14].…”
Section: This Technique Named Slipi (Structured Illumination Laser Plmentioning
confidence: 99%
See 1 more Smart Citation
“…Kristensson and coworkers have also used the same idea in the context of imaging of molar extinction coefficients of turbid media [13]. And most recently Olivier K. Bagui et al have used it for classifying groups of coffee [14].…”
Section: This Technique Named Slipi (Structured Illumination Laser Plmentioning
confidence: 99%
“…One can extract the amplitude of the modulation from a modulated image using Equations (6)- (14). The modulated component A λ , reflects the exponential decay of the single-scattered light along the cross-sectional width of the cuvette.…”
Section: The Single-phase Slipi Approachmentioning
confidence: 99%
“…It was also used by Bagui et al. to classify the quality of coffee [10]. From this technique, we have recently developed image processing strategies for spectroscopic measurements in dense solutions based on Principal Component Analysis (PCA) [11].…”
Section: Introductionmentioning
confidence: 99%
“…This technique has already proven its effectiveness in classifying the quality of mineral oils, according to Regnima et al [9]. It was also used by Bagui et al to classify the quality of coffee [10]. From this technique, we have recently developed image processing strategies for spectroscopic measurements in dense solutions based on Principal Component Analysis (PCA) [11].…”
Section: Introductionmentioning
confidence: 99%