基于高光谱成像技术的水果品质无损检测

Nondestructive Inspect of Fruit Quality with Hyperspectral Imaging Technology

摘要:

高光谱图像技术结合光谱技术与计算机图像技术两者的优点，可获得大量包含连续波长光谱信息的图像块，其图像信息可检测水果的外部品质，光谱信息则可用于水果内部品质的检测，达到根据水果内、外部综合品质进行分类的目的. 综述了国内外将该技术应用于水果品质检测方面的研究进展,提出了利用高光谱图像技术检测苹果轻微损伤的方法，利用500～900nm的高光谱图像数据，通过主成分分析提取547nm波长下的特征图像.

Abstract:

Image cubes containing continuous spectral waveband information, in which the image information could be used for external attribute inspection while the spectral information could be applied to the internal attribute inspection, could be obtained by implementing hyperspectral image technology which combines the advantages of computer vision and spectroscopy. As a result, fruit classification based on both internal and external quality attributes could be achieved. Applications of hyperspectral images to the inspection of bruises, feces or earth contamination, maturity, firmness, SSC -Soluble Solid Content- and other parameters of fruits were reviewed. The hyperspectral imaging technology was proposed to detect the subtle bruises on apples in this paper. The apples’hyperspectral images between 500nm and 900nm wavelength were analyzed via the principal components analysis, and the feature images under 547nm wavelength were selected to detect the bruises on apples.