Журнал Российского общества по неразрушающему контролю и технической диагностике
The journal of the Russian society for non-destructive testing and technical diagnostic
 
| Русский Русский | English English |
 
Главная Archive
17 | 05 | 2024
2023, 06 June

DOI: 10.14489/td.2023.06.pp.036-042

Divin A. G., Balabanov P. V., Zhirkova A. A., Mishchenko S. V., Egorov A. S., Shishkina G. V.
INFORMATION-MEASURING SYSTEM FOR CONTROL OF APPLES BY SIZE IN THEIR SORTING
(pp. 36-42)

Abstract. The article provides information about the information-measuring system of the layout of the complex for sorting apples, which allows you to determine the maximum diameter of an apple when it moves along a roller conveyor. The control algorithm is based on the use of automated thresholding using the method of moments, as well as the Advanced Morphology operation. Studies have shown that the maximum diameter measurement error does not exceed 2 mm, and the influence of radial distortion is reduced to 0.17 % as a result of calibration.

Keywords: information-measuring system, calibration, sorting, vision system.

A. G. Divin, P. V. Balabanov, A. A. Zhirkova, S. V. Mishchenko, A. S. Egorov, G. V. Shishkina (Tambov State Technical University, Tambov, Russia) E-mail: Данный адрес e-mail защищен от спам-ботов, Вам необходимо включить Javascript для его просмотра. , Данный адрес e-mail защищен от спам-ботов, Вам необходимо включить Javascript для его просмотра. , Данный адрес e-mail защищен от спам-ботов, Вам необходимо включить Javascript для его просмотра. , Данный адрес e-mail защищен от спам-ботов, Вам необходимо включить Javascript для его просмотра. , Данный адрес e-mail защищен от спам-ботов, Вам необходимо включить Javascript для его просмотра. , Данный адрес e-mail защищен от спам-ботов, Вам необходимо включить Javascript для его просмотра.  

1. Budagovskaya O. N., Gordeev A. S., Goncharov S. A., Larshin Yu. P. (1989). Fruit sorting machine. Author's certificate No. SU1658989 A 1. [in Russian language]
2. Nieoczym A., Caban J., Marczuk A., Brumerčik F. (2018). Construction Design of Apples Orter. BIO Web of Conferences, Vol. 10. DOI: 10.1051/bioconf/20181002025
3. Zhang Z., Lu Y., Lu R. (2021). Development and Evaluation of Anapple in Field Grading and Sorting System. Postharvest Biology and Technology, Vol. 180. DOI: 10.1016/j.postharvbio.2021.111588
4. Blasco J., Aleixos N., Moltó E. (2003). Machine Vision System for Automatic Quality Grading of Fruit. Biosystems Engineering, Vol. 85 (4). DOI: 10.1016/S1537-5110(03)00088-6
5. Ismail A., Idris M. Y. I., Ayub M. N., Por L. Y. (2018). Vision-Based Apple Classification for Smart Manufacturing. Sensors, Vol. 18 (12). DOI: 10.3390/s18124353
6. Lee W. H., Kim M. S., Lee H. et al. (2014). Hyperspectral Near-Infrared Imaging for the Detection of Physical Damages of Pear. Journal of Food Engineering, Vol. 130. DOI: 10.1016/j.jfoodeng.2013.12.032
7. Kavdir I., Guyer D. E. (2003). Apple Grading Using Fuzzy Logic. The Turkish Journal of Agriculture and Forestry, Vol. 27 (6). DOI: 10.3906/tar-0308-7
8. Huang C., Fei J. (2017). Online Apple Grading Based on Decision Fusion of Image Features. Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering, Vol. 33 (1). DOI: 10.11975/j.issn.1002-6819.2017.01.039
9. Toylan H., Kuscu H. (2014). A Real-Time Apple Grading System Using Multicolor Space. The Scientific World Journal, (6). DOI: 10.1155/2014/292681
10. Balabanov P. V., Divin A. G., Egorov A. S., Zhirkova A. A. (2022). The system of optical-electronic sorting of apples on the conveyor. Kontrol'. Diagnostika, Vol. 25 283(1), pp. 38 – 44. [in Russian language] DOI: 10.14489/td.2022.01.pp.038-044
11. Balabanov P. V., Zhirkova A. A., Divin A. G. et al. (2022). Information and measurement system for controlling the sorting process of fruits and vegetables. Vestnik Tambovskogo gosudarstvennogo tekhnicheskogo universiteta, Vol. 28 (4), pp. 526 – 533. [in Russian language]
12. Kazakevich P. P., Yurin A. N., Prokopovich G. A. (2021). Apple defect recognition vision system: justification, development, testing. Vestsі Natsyyanal'nay akademіі navuk Belarusі. Seryya agrarnyh navuk, Vol. 59 (4), pp. 488 – 500. [in Russian language]
13. Wen-Hsiang Tsai. (1985). Moment-Preserving Thresholding: A New Approach. Computer Vision, Graphics, and Image Processing, Vol. 29 (3), pp. 377 – 393 DOI: 10.1016/0734-189x(85)90133-1
14. Adv. Morphology_Controls.html. Available at:  https://documentation.help/NI-Vision-Assistant/AdvMorpho-logy_Controls.html (Accessed: 12.01.2023).

This article  is available in electronic format (PDF).

The cost of a single article is 500 rubles. (including VAT 20%). After you place an order within a few days, you will receive following documents to your specified e-mail: account on payment and receipt to pay in the bank.

After depositing your payment on our bank account we send you file of the article by e-mail.

To order articles please copy the article doi:

10.14489/td.2023.06.pp.036-042

and fill out the  form  

 

 
Search
Баннер
Rambler's Top100 Яндекс цитирования