Computer vision classification of potato chips by color. http://dx.doi.org/10.1111/j.1745-4530.2009.00540.x

Abstract

In this research the automatic classification of commercial potato chips by computer vision was studied. The general objective was to design a tool which would be able to classify objectively potato chips according to their color in different categories. For this purpose, sensory measurements of color in one hundred potato chips were correlated with the corresponding objective measurements obtained by computer vision system. Potato chips with and without ruffles of different brands were used for training and validation experiments. Sensory evaluations were done with a special chart which classifies potato chips in seven color categories. Simultaneously, the color of the same potato chips classified by the sensory panel, was determined objectively by a computer vision system in L*a*b* units. A linear regression model was good enough to predict potato chip sensory color values from the corresponding instrumental measurements by computer vision. The linear model after following the process of crossed validation crossed presented an error of 4% for smooth chips (without ruffles) and 7% for chips with ruffles.