文章基本信息

标题：Spatial Frequency Domain Imaging System Calibration, Correction and Application for Pear Surface Damage Detection
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作者：Yifeng Luo ; Xu Jiang ; Xiaping Fu 等
期刊名称：Foods
电子版ISSN：2304-8158
出版年度：2021
卷号：10
期号：9
DOI：10.3390/foods10092151
语种：English
出版社：MDPI Publishing
摘要：Spatial frequency domain imaging (SFDI) is a non-contact wide-field optical imaging technique for optical property detection. This study aimed to establish an SFDI system and investigate the effects of system calibration, error analysis and correction on the measurement of optical properties. Optical parameter characteristic measurements of normal pears with three different damage types were performed using the calibrated system. The obtained absorption coefficient μ a and the reduced scattering coefficient μ’ s were used for discriminating pears with different surface damage using a linear discriminant analysis model. The results showed that at 527 nm and 675 nm, the pears’ quadruple classification (normal, bruised, scratched and abraded) accuracy using the SFDI technique was 92.5% and 83.8%, respectively, which has an advantage compared with the conventional planar light classification results of 82.5% and 77.5%. The three-way classification (normal, minor damage and serious damage) SFDI technique was as high as 100% and 98.8% at 527 nm and 675 nm, respectively, while the classification accuracy of conventional planar light was 93.8% and 93.8%, respectively. The results of this study indicated that SFDI has the potential to detect different damage types in fruit and that the SFDI technique has a promising future in agricultural product quality inspection in further research.
关键词：enspatial frequency domain imaging (SFDI);projector-camera calibration;optical properties;pears;damage detection;linear discriminant analysis (LDA)