Barcode Technique to Visualize and Quantify Chocolate Milk Stability
Abstract:Chocolate milk instability was monitored by time series of images. It is demonstrated how a time series of images can be summarized into a single image, named a stability barcode. The stability barcode is generated by collapsing time series frames to pixel columns and arranging the pixel columns to form the stability barcode. It is demonstrated how image filtering can be used in generation of different and more specific stability barcodes. Chocolate milk defects such as layers could be seen in barcodes generated using a median filter, curdling could be seen in barcodes generated using a standard deviation filter and marbling could be seen in barcodes made using an H-dome filter. Graphs for comparing the destabilization kinetics were deduced from the stability barcodes. The stability barcodes gave a visual summary of chocolate milk instability–the kinetic graphs a precise comparison of specific types of instability.
Document Type: Research Article
Affiliations: DuPont Nutrition Biosciences ApS, Edwin Rahrs Vej 38, 8220 Brabrand, Denmark
Publication date: March 1, 2012
The Journal of Imaging Science and Technology (JIST) is dedicated to the advancement of imaging science knowledge, the practical applications of such knowledge, and how imaging science relates to other fields of study. The pages of this journal are open to reports of new theoretical or experimental results, and to comprehensive reviews. Only original manuscripts that have not been previously published, nor currently submitted for publication elsewhere, should be submitted.
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