中国农业大学学报2024，Vol.29Issue(11)：50-62,13.DOI:10.11841/j.issn.1007-4333.2024.11.06
基于高光谱成像结合波段比和改进分水岭分割算法的草莓早期损伤检测
Detection of early damage on strawberries using hyperspectral reflectance imaging combined with band ratio and improved watershed segmentation algorithm
摘要
Abstract
In order to solve the problem of early damage of ripe strawberries during picking and transport,which is difficult to detect quickly,and to safeguard the commercial value and food safety of strawberries,this study proposes a new method based on hyperspectral imaging technology,which combines the band ratio and the improved watershed segmentation algorithm,to realize non-destructive detection of early damage of strawberries.Principal component cluster analysis was conducted across three spectral ranges:Vis-NIR(480.19～1 015.63 nm),Vis(480.19～780.0 nm),and NIR(780.0～1 015.63 nm).Characteristic wavelengths were identified using principal component loading maps.Subsequently,corresponding principal component and band ratio images were generated.The segmentation of strawberry damage regions was performed using an improved watershed segmentation algorithm.The results indicate that:1)Strawberries with different damage areas can be effectively differentiated in the Vis-NIR and NIR spectral ranges,along the PC1 direction.2)Among the band ratio images,the Q758.64/1015.63 band ratio image exhibits the best performance in enhancing damage contrast,making it the most suitable for subsequent analysis.3)The improved watershed segmentation algorithm outperforms the traditional watershed and improved Otsu methods,achieving an overall detection accuracy of 95.5％,demonstrating its reliability and effectiveness in detecting early strawberry damage.In conclusion,the integration of hyperspectral imaging technology with the improved watershed segmentation algorithm is a viable approach for the rapid,nondestructive detection of early strawberry damage,offering theoretical and technical support for ensuring strawberry quality and food safety.关键词
高光谱成像/损伤检测/波段比/改进的分水岭分割算法/草莓Key words
hyperspectral imaging/damage detection/band ratio/improved watershed segmentation algorithm/strawberry分类
化学化工引用本文复制引用
刘燕德,刘良峰,李雄,姚迟,欧阳爱国..基于高光谱成像结合波段比和改进分水岭分割算法的草莓早期损伤检测[J].中国农业大学学报,2024,29(11):50-62,13.基金项目
国家自然科学基金项目(31760344) （31760344）
