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Computer vision based analysis of potato chips--a tool for rapid detection of acrylamide level.
Mol Nutr Food Res. 2006 Sep; 50(9):805-10.MN

Abstract

In this study, analysis of digital color images of fried potato chips were combined with parallel LC-MS based analysis of acrylamide in order to develop a rapid tool for the estimation of acrylamide during processing. Pixels of the fried potato image were classified into three sets based on their Euclidian distances to the representative mean values of typical bright yellow, yellowish brown, and dark brown regions using a semiautomatic segmentation algorithm. The featuring parameter extracted from the segmented image was NA2 value which was defined as the number of pixels in Set-2 divided by the total number of pixels of the entire fried potato image. Using training images of potato chips, it was shown that there was a strong linear correlation (r = 0.989) between acrylamide level and NA2 value. Images of a number of test samples were analyzed to predict their acrylamide level by means of this correlation data. The results confirmed that computer vision system described here provided explicit and meaningful description from the viewpoint of inspection and evaluation purpose for potato chips. Assuming a provisional threshold limit of 1000 ng/g for acrylamide, test samples could be successfully inspected with only one failure out of 60 potato chips.

Authors+Show Affiliations

Ankara Test and Analysis Laboratory, Scientific and Technical Research Council of Turkey, Ankara, Turkey. vgokmen@hacettepe.edu.trNo affiliation info availableNo affiliation info availableNo affiliation info available

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

16917807

Citation

Gökmen, Vural, et al. "Computer Vision Based Analysis of Potato Chips--a Tool for Rapid Detection of Acrylamide Level." Molecular Nutrition & Food Research, vol. 50, no. 9, 2006, pp. 805-10.
Gökmen V, Senyuva HZ, Dülek B, et al. Computer vision based analysis of potato chips--a tool for rapid detection of acrylamide level. Mol Nutr Food Res. 2006;50(9):805-10.
Gökmen, V., Senyuva, H. Z., Dülek, B., & Cetin, E. (2006). Computer vision based analysis of potato chips--a tool for rapid detection of acrylamide level. Molecular Nutrition & Food Research, 50(9), 805-10.
Gökmen V, et al. Computer Vision Based Analysis of Potato Chips--a Tool for Rapid Detection of Acrylamide Level. Mol Nutr Food Res. 2006;50(9):805-10. PubMed PMID: 16917807.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Computer vision based analysis of potato chips--a tool for rapid detection of acrylamide level. AU - Gökmen,Vural, AU - Senyuva,Hamide Z, AU - Dülek,Berkan, AU - Cetin,Enis, PY - 2006/8/19/pubmed PY - 2006/10/25/medline PY - 2006/8/19/entrez SP - 805 EP - 10 JF - Molecular nutrition & food research JO - Mol Nutr Food Res VL - 50 IS - 9 N2 - In this study, analysis of digital color images of fried potato chips were combined with parallel LC-MS based analysis of acrylamide in order to develop a rapid tool for the estimation of acrylamide during processing. Pixels of the fried potato image were classified into three sets based on their Euclidian distances to the representative mean values of typical bright yellow, yellowish brown, and dark brown regions using a semiautomatic segmentation algorithm. The featuring parameter extracted from the segmented image was NA2 value which was defined as the number of pixels in Set-2 divided by the total number of pixels of the entire fried potato image. Using training images of potato chips, it was shown that there was a strong linear correlation (r = 0.989) between acrylamide level and NA2 value. Images of a number of test samples were analyzed to predict their acrylamide level by means of this correlation data. The results confirmed that computer vision system described here provided explicit and meaningful description from the viewpoint of inspection and evaluation purpose for potato chips. Assuming a provisional threshold limit of 1000 ng/g for acrylamide, test samples could be successfully inspected with only one failure out of 60 potato chips. SN - 1613-4125 UR - https://www.unboundmedicine.com/medline/citation/16917807/Computer_vision_based_analysis_of_potato_chips__a_tool_for_rapid_detection_of_acrylamide_level_ L2 - https://doi.org/10.1002/mnfr.200500257 DB - PRIME DP - Unbound Medicine ER -