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Measuring the green color of vegetables from digital images using image analysis
When analyzing the color of foods, a measurement device consisting of a digital camera and image analysis software is an attractive alternative to traditional instruments such as spectrophotometers, colorimeters and sensory evaluations. The device enables the measuring of the surface of a sample pix...
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Published in: | Food science & technology 2015-10, Vol.63 (2), p.1184-1190 |
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Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | When analyzing the color of foods, a measurement device consisting of a digital camera and image analysis software is an attractive alternative to traditional instruments such as spectrophotometers, colorimeters and sensory evaluations. The device enables the measuring of the surface of a sample pixel-by-pixel and offers versatile possibilities for new imaging-based analysis strategies for food research. Our objective was to evaluate if this apparatus could detect differences in colors existing in green vegetables. We showed that the device separated batches of green vegetables and detected color differences that existed in vegetables with different degrees of green color. We demonstrated that this device could measure the color change of green vegetables during heat treatments. We conclude that this experimental setup has the potential to evaluate the healthiness of a diet by analyzing the proportion and quality of green vegetables for use in a serving at a buffet table or dinner plate.
•Color changes in surfaces of vegetables were accurately detected by image analysis.•Vegetable batches were distinguished from each other based on color difference.•Various green vegetables were distinguished on the basis of their color difference.•Image analysis was proven to be a powerful tool to analyze green components in diet. |
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ISSN: | 0023-6438 1096-1127 |
DOI: | 10.1016/j.lwt.2015.04.005 |