2017
DOI: 10.1093/fqsafe/fyx021
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Quantification of browning in apples using colour and textural features by image analysis

Abstract: This study analyses the effect of browning through image analysis based on colour and textural features in fresh-cut apple slices. A computer vision system (CVS) was developed for image acquisition, which consisted of a digital camera and a florescent lamp source for illumination with a contrasting background. The CVS was calibrated using standard colour values and a model was developed by artificial neural network technique. Three varieties of apples such as Honey crisp, Granny Smith, and Golden Delicious wer… Show more

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Cited by 70 publications
(41 citation statements)
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“…Browning index (BI) was determined using the following Equation 6 (Subhashree, Sunoj, Xue, & Bora, ).BI=100x-0.310.17where x isx=a+175L5.645L+a-3.012b…”
Section: Methodsmentioning
confidence: 99%
“…Browning index (BI) was determined using the following Equation 6 (Subhashree, Sunoj, Xue, & Bora, ).BI=100x-0.310.17where x isx=a+175L5.645L+a-3.012b…”
Section: Methodsmentioning
confidence: 99%
“…The color of foods is generally determined in the L*a*b*, which is an international standard color parameter [21]. L* value indicates lightness component in an image.…”
Section: Color Valuesmentioning
confidence: 99%
“…The total color difference ( ΔE ) indicates the magnitude of color difference between stored and control samples (Patras, Brunton, Tiwari, & Butler, 2011). The ΔE and BI values were calculated using L* , a* , and b* values (Subhashree, Sunoj, Xue, & Bora, 2017), as follows: ΔE=ΔL2+Δa2+Δb20.33em BI=100x0.31/0.172where: x=a+1.75L5.645L+a3.012b…”
Section: Methodsmentioning
confidence: 99%