利用高光谱图像技术检测水果轻微损伤

摘要:

提出了利用高光谱图像技术检测水果轻微损伤的方法。试验以苹果为研究对象,利用500～900 nm范围内的高光谱图像数据，通过主成分分析提取547 nm波长下的特征图像,然后设计不均匀二次差分消除了苹果图像亮度分布不均匀的影响，最后通过合适的数字图像处理方法提取苹果的轻微损伤。试验结果表明，高光谱图像技术对苹果轻微损伤的检测正确率达到

Abstract:

88.57%。 The hyperspectral imaging technology was proposed to detect the subtle bruises on fruits. Apples were adopted as the experimental object. The apples’ hyperspectral images between 500 nm and 900 nm wavelength were analyzed via the principal components analysis, and the feature images under 547nm wavelength were selected to detect the bruises on apples. The asymmetric brightness of the images was eliminated with asymmetric second difference subsequently. Finally, the feature of bruise was extracted through appropriate image processing. The experimental results show that detecting subtle bruises on fruits on-line with hyperspectral imaging technology is realized and the accuracy is 88.57%.