Recent Advances and Applications of Hyperspectral Imaging for Fruit and Vegetable Quality Assessment

Hyperspectral imaging systems are starting to be used as a scientific tool for food quality assessment. A typical hyperspectral image is composed of a set of a relatively wide range of monochromatic images corresponding to continuous wavelengths that normally contain redundant information or may exh...

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Bibliographic Details
Published in:Food and bioprocess technology 2012-05, Vol.5 (4), p.1121-1142
Main Authors: Lorente, D., Aleixos, N., Gómez-Sanchis, J., Cubero, S., García-Navarrete, O. L., Blasco, J.
Format: Article
Language:English
Subjects:
Agriculture
Biotechnology
Chemistry
Chemistry and Materials Science
Chemistry/Food Science
Food quality
Food Science
Fruits
Hyperspectral imaging
Image acquisition
Image quality
Inspection
Quality assessment
Quality control
Review Paper
Statistical analysis
Statistical methods
Vegetables
Wavelengths
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Summary:Hyperspectral imaging systems are starting to be used as a scientific tool for food quality assessment. A typical hyperspectral image is composed of a set of a relatively wide range of monochromatic images corresponding to continuous wavelengths that normally contain redundant information or may exhibit a high degree of correlation. In addition, computation of the classifiers used to deal with the data obtained from the images can become excessively complex and time-consuming for such high-dimensional datasets, and this makes it difficult to incorporate such systems into an industry that demands standard protocols or high-speed processes. Therefore, recent works have focused on the development of new systems based on this technology that are capable of analysing quality features that cannot be inspected using visible imaging. Many of those studies have also centred on finding new statistical techniques to reduce the hyperspectral images to multispectral ones, which are easier to implement in automatic, non-destructive systems. This article reviews recent works that use hyperspectral imaging for the inspection of fruit and vegetables. It explains the different technologies available to acquire the images and their use for the non-destructive inspection of the internal and external features of these products. Particular attention is paid to the works aimed at reducing the dimensionality of the images, with details of the statistical techniques most commonly used for this task.
ISSN:1935-5130
1935-5149
DOI:10.1007/s11947-011-0725-1