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当前位置: 首页 > 文章 > 基于高光谱成像技术的苹果内外品质同时检测 农业机械学报 2011,42 (3) 140-144
Position: Home > Articles > Simultaneous Detection of External and Internal Quality Parameters of Apples Using Hyperspectral Technology Transactions of the Chinese Society for Agricultural Machinery 2011,42 (3) 140-144

基于高光谱成像技术的苹果内外品质同时检测

作  者：
单佳佳;彭彦昆;王伟;李永玉;吴建虎;张雷蕾
单  位：
中国农业大学工学院
关键词：
苹果;糖分含量;摔伤;高光谱;无损检测
摘  要：
结合高光谱图像处理和光谱分析方法,通过一次图像扫描同时对苹果的表面摔伤和糖分含量进行检测。苹果第一主成分图像与794 nm的图像相减后进行去噪和阈值分割处理,摔伤检测的准确率为92.6%。对感兴趣区域的反射光谱曲线进行多元散射校正、一阶导数和SG平滑处理后利用偏最小二乘回归方法建立糖分含量的预测模型,校正集相关系数Rc为0.93,SEC为0.47°Brix,验证集相关系数Rv为0.92,SEV为0.67°Brix。结果表明:利用高光谱成像技术可以实现苹果内部品质和外部品质的同时检测。
译  名：
Simultaneous Detection of External and Internal Quality Parameters of Apples Using Hyperspectral Technology
作  者：
Shan Jiajia Peng Yankun Wang Wei Li Yongyu Wu Jianhu Zhang Leilei(College of Engineering,China Agricultural University,Beijing 100083,China)
关键词：
Apples,Solid soluble content,Bruises,Hyperspectral,Nondestructive detection
摘  要：
The hyperspectral imaging technology was used to detect the bruises and solid soluble content(SSC) of apples simultaneously.The image at 794nm from the first principle component was subtracted,the series of de-noising and threshold processing were performed and the bruises on apples were predicted with the accuracy of 92.6%.In the hyperspectral imaging,region of interest(ROI) was determined and spectrum reference curve was calculated.The original reflectance spectrum curve was processed by multiplicative scatter correction(MSC),a first derivative and Savitzky-Golay(SG) smoothing,and PLSR model was developed to predict SSC with Rc of 0.93,SEC of 0.47°Brix,and Rv of 0.92,SEV of 0.67°Brix.The research showed that it was feasible to detect the SSC and bruises on apples simultaneously with hyperspectral imaging technology.

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