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Nondestructive Identification of Salmon Adulteration with Water Based on Hyperspectral Data
المؤلفون المشاركون
Zhang, Xu
Wang, Huihui
Zhang, Tao
Wang, Biyao
Yan, Pengtao
Wang, Kunlun
Lv, Yan
المصدر
العدد
المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-10، 10ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2018-12-26
دولة النشر
مصر
عدد الصفحات
10
الملخص EN
For the identification of salmon adulteration with water injection, a nondestructive identification method based on hyperspectral images was proposed.
The hyperspectral images of salmon fillets in visible and near-infrared ranges (390–1050 nm) were obtained with a system.
The original hyperspectral data were processed through the principal-component analysis (PCA).
According to the image quality and PCA parameters, a second principal-component (PC2) image was selected as the feature image, and the wavelengths corresponding to the local extremum values of feature image weighting coefficients were extracted as feature wavelengths, which were 454.9, 512.3, and 569.1 nm.
On this basis, the color combined with spectra at feature wavelengths, texture combined with spectra at feature wavelengths, and color-texture combined with spectra at feature wavelengths were independently set as the input, for the modeling of salmon adulteration identification based on the self-organizing feature map (SOM) network.
The distances between neighboring neurons and feature weights of the models were analyzed to realize the visualization of identification results.
The results showed that the SOM-based model, with texture-color combined with fusion features of spectra at feature wavelengths as the input, was evaluated to possess the best performance and identification accuracy is as high as 96.7%.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Zhang, Tao& Wang, Biyao& Yan, Pengtao& Wang, Kunlun& Zhang, Xu& Wang, Huihui…[et al.]. 2018. Nondestructive Identification of Salmon Adulteration with Water Based on Hyperspectral Data. Journal of Food Quality،Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1185071
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Zhang, Tao…[et al.]. Nondestructive Identification of Salmon Adulteration with Water Based on Hyperspectral Data. Journal of Food Quality No. 2018 (2018), pp.1-10.
https://search.emarefa.net/detail/BIM-1185071
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Zhang, Tao& Wang, Biyao& Yan, Pengtao& Wang, Kunlun& Zhang, Xu& Wang, Huihui…[et al.]. Nondestructive Identification of Salmon Adulteration with Water Based on Hyperspectral Data. Journal of Food Quality. 2018. Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1185071
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1185071
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر
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