Computer Vision Estimation of the Volume and Weight of Apples by Using 3D Reconstruction and Noncontact Measuring Methods
المؤلفون المشاركون
Guo, Ning
Zhang, Baohua
Gu, Baoxing
Huang, Jichao
Zhou, Jun
المصدر
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-12، 12ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-11-18
دولة النشر
مصر
عدد الصفحات
12
التخصصات الرئيسية
الملخص EN
A computer vision system for the estimation of apple volume and weight by using 3D reconstruction and noncontact measuring methods was investigated.
The 3D surface of the apples could be reconstructed by using a single multispectral camera and near-infrared linear-array structured light.
Both the traditional image feature and height information were extracted from the height maps.
Two different type height features (Type I and II) were extracted, and both of them were fused with a projection area to form combination features (Combination Feature I and II).
Partial least squares analysis and least squares-support vector machine were implemented for calibration models with projection area and combination features as inputs.
Grid-Search Technique and Leave-One-Out Cross-Validation were also investigated to find out the optimal parameter values of the RBF kernel.
The optimal LS-SVM models with Combination Feature II outperformed PLS models.
The coefficient and root mean square error of prediction for the best prediction by LS-SVM were 0.9032 and 10.1155 for volume, whereas 0.8602 and 9.9556 for weight, respectively.
The overall results indicated that height information can improve the prediction performance, and the proposed system could be applied as an alternative to the traditional methods for noncontract measurement of the volume and weight of apple fruits.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Zhang, Baohua& Guo, Ning& Huang, Jichao& Gu, Baoxing& Zhou, Jun. 2020. Computer Vision Estimation of the Volume and Weight of Apples by Using 3D Reconstruction and Noncontact Measuring Methods. Journal of Sensors،Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1190455
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Zhang, Baohua…[et al.]. Computer Vision Estimation of the Volume and Weight of Apples by Using 3D Reconstruction and Noncontact Measuring Methods. Journal of Sensors No. 2020 (2020), pp.1-12.
https://search.emarefa.net/detail/BIM-1190455
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Zhang, Baohua& Guo, Ning& Huang, Jichao& Gu, Baoxing& Zhou, Jun. Computer Vision Estimation of the Volume and Weight of Apples by Using 3D Reconstruction and Noncontact Measuring Methods. Journal of Sensors. 2020. Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1190455
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1190455
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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