Food applications, color machine

Correlation Between Color Machine Vision and Colorimeter for Food Applications... 

Recent advances in color machine technology have provided sophisticated tools with extensive new applications for evaluating food quality. Shearer and Payne (1990) reported on sorting bell pq>pers based on color as characterized by the hue of light reflected from the pq>per surface. Shearer and Holmes (1990) proposed a color texture approach to identify seven common cultivars of nursery stock based on cooccurrence matrices. The addition of hue texture improved the classification accuracy from 81.7% to 90.9% over using intensity texture features alone. Liao et al. (1991) used color differences between vitreous and floury endosperm area of a corn kernel to classify corn hardness. Edan et al. (1994) used machine vision extracted appearance attributes such as size, shape and color for a multi-sensor based quality evaluation of tomatoes. These researches used color as an added dimension of information for classification, but made no attempt to quantify the colors of the food materials they were investigating. 

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