Detection of Hidden Bruise on Kiwi fruit Using Hyperspectral Imaging and Parallelepiped Classification

Abstract It is necessary to develop non-destructive detection techniques of kiwi fruit because machine injury could lower the quality of fruit and incur economic losses. Owing to the special physical properties of kiwi fruit peel, the bruises are not visible externally. Its could not be effectively inspected using conventional non-destructive detection technology. We proposed the hyperspectral imaging technique to inspect the hidden bruises on kiwi fruit in this work. The Vis/NIR (408-1117 nm) hyperspectral image data was collected. The top four component images were obtained from the data which ranged from 600 to 1000 nm using principal component analysis, and the bruise regions were extracted from the component images using parallelepiped classification. The experimental results show that the error of detecting hidden bruises on fruits with hyperspectral imaging was 14.5%.