Recent developments and applications of image features for food quality evaluation and inspection – a review

This paper reviews the techniques available for image feature extraction and their applications in the food industry up to now according to the four major kinds of image features, i.e., colour, size, shape, and texture. Results from previous studies have shown that each kind of image features contai...

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Bibliographic Details
Published in:Trends in food science & technology 2006-01, Vol.17 (12), p.642-655
Main Authors: Zheng, Chaoxin, Sun, Da-Wen, Zheng, Liyun
Format: Article
Language:English
Subjects:
accuracy
automatic detection
Biological and medical sciences
color
computer analysis
computer software
diameter
Food industries
food industry
food inspection
food quality
Fundamental and applied biological sciences. Psychology
image analysis
image processors
mouthfeel
shape
texture
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Summary:This paper reviews the techniques available for image feature extraction and their applications in the food industry up to now according to the four major kinds of image features, i.e., colour, size, shape, and texture. Results from previous studies have shown that each kind of image features contained important information required for food quality evaluation and inspection. Furthermore, the proper combination of different kinds of image features can normally increase the accuracy of the evaluation results; sometimes such a combination might even reveal some quality attributes that cannot be identified by using only a single kind of image features. Further to this, the feature extraction techniques were compared with each other, and their advantages, disadvantages, and feasibilities in different applications were also discussed.
ISSN:0924-2244
1879-3053
DOI:10.1016/j.tifs.2006.06.005