基于核磁共振成像的水果轻微损伤识别
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Detecting Subtle Bruises on Fruits with Nuclear Magnetic Resonance Imaging
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    摘要:

    以鸭梨为对象,采用核磁共振成像设备扫描获得轻微损伤鸭梨冠状面图像,使用Matlab软件完成图像预处理,采用自动阈值分割目标区域,并提取鸭梨层切面边界,最后采用角点检测方法检测鸭梨是否有轻微损伤。实验结果表明,核磁共振成像技术对水果轻微损伤的检测精度达92.1%,对正常和畸形水果的检测精度达

    Abstract:

    100%。The nuclear magnetic resonance(NMR) imaging was proposed to detect the subtle bruises on fruits. Chinese pears were selected as the experimental object. The nuclear magnetic resonance images of pears were acquired by horizontal scanning mode. Image processing, which included auto thresh segmentation, morphologic operation and boundary extraction was finished by Matlab software. At last the corner detection was used to determine whether the pear had subtle bruises. Experimental results showed that detecting subtle bruises on fruits with NMR technique was feasible. The accuracy of detection for subtle bruises and other pears was 92.1% and 100%, respectively.

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周水琴,商德胜,应义斌,廖宜涛.基于核磁共振成像的水果轻微损伤识别[J].农业机械学报,2010,41(8):107-110.

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