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.