Real-time image analysis for nondestructive detection of metal slivers in packed food.

Chen X.; Jing H.; Tao Y.; Cheng X.

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Real-time image analysis for nondestructive detection of metal slivers in packed food.

机译：实时图像分析可用于无损检测包装食品中的金属条。

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Foreign materials such as metal slivers and stones in packaged foods are known safety hazards that can lead to severe health problems. A real-time X-ray imaging inspection method for foreign material detection in chilli mix packages is described. A novel image segmentation method combining Canny edge detection and region growing was successfully applied to overcome the problem caused by uneven thickness of chilli mix packages and discriminate false positives caused by bubbles and foil wrinkles. Detection and false positive rates for metal slivers as small as 0.5 x 0.5 +or- 1 mm were 98.1% and 0.64%, respectively.

机译：包装食品中的金属薄片和石头等异物是已知的安全隐患，可能导致严重的健康问题。描述了用于辣椒混合物包装中的异物检测的实时X射线成像检查方法。成功地将Canny边缘检测和区域增长相结合的新型图像分割方法成功地克服了辣椒混合包装厚度不均匀引起的问题，并识别了由气泡和箔皱纹引起的误报。小至0.5 x 0.5±1 mm的金属条的检测率和假阳性率分别为98.1％和0.64％。

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《Transactions of the ASABE》 |2008年第1期|共7页
作者
Chen X.; Jing H.; Tao Y.; Cheng X.;
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正文语种 eng
中图分类农业机械及农具;
关键词
CHILLI; CONTAMINANTS; IMAGING; ANALYTICAL TECHNIQUES; CONTAMINATION; FOOD SAFETY PLANT FOODS; PACKAGING; SPICES; X-RAYS;

机译：辣椒;污染物;成像;分析技术;污染;食品安全工厂食品;包装;香料;X射线;

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专利

1. Real-time image analysis for nondestructive detection of metal slivers in packed food. [J] . Chen X., Jing H., Tao Y., Transactions of the ASABE . 2008,第1期

机译：实时图像分析可用于无损检测包装食品中的金属条。
2. Nondestructive Detection of Targeted Microbubbles Using Dual-Mode Data and Deep Learning for Real-Time Ultrasound Molecular Imaging [J] . Hyun Dongwoon, Abou-Elkacem Lotfi, Bam Rakesh, IEEE Transactions on Medical Imaging . 2020,第10期

机译：使用双模数据的无损检测与实时超声分子成像的双模数据和深度学习
3. A Nondestructive Real-Time Detection Method of Total Viable Count in Pork by Hyperspectral Imaging Technique [J] . Xiaochun Zheng, Yankun Peng, Wenxiu Wang Applied Sciences . 2017,第3期

机译：利用高光谱成像技术无损实时检测猪肉总活菌数
4. Real-time Image Analysis for Nondestructive Detection of Metal Sliver in Packed Food [C] . Xin Chen, Hansong Jing, Yang Tao, Optical Sensors and Sensing Systems for Natural Resources and Food Safety and Quality . 2005

机译：实时图像分析用于包装食品中金属银的无损检测
5. Blind source separation for feature detection and segmentation in ground penetrating radar (GPR) imaging of concrete bridge decks for nondestructive condition assessment. [D] . Krause, Vincent. 2015

机译：盲源分离，用于混凝土桥面板的探地雷达（GPR）成像中的特征检测和分割，以进行无损状态评估。
6. Nondestructive Analysis of Tumor-Associated Membrane Protein Integrating Imaging and Amplified Detection in situ Based on Dual-Labeled DNAzyme [O] . Xiaoxia Chen, Jing Zhao, Tianshu Chen, 2018

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7. A Nondestructive Real-Time Detection Method of Total Viable Count in Pork by Hyperspectral Imaging Technique [O] . Xiaochun Zheng, Yankun Peng, Wenxiu Wang 2017

机译：基于高光谱成像技术的猪肉总活量非破坏性实时检测方法
8. Applied Research to Establish Infrared Detection Methods for Nondestructive Analysis of Metallic and Ceramic Structures, Part III [R] . Maley, D. R., Maley, S. W. 1964

机译：建立金属和陶瓷结构无损分析红外检测方法的应用研究，第三部分

Real-time image analysis for nondestructive detection of metal slivers in packed food.

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