Instance segmentation of root crops and simulation-based learning to estimate their physical dimensions for on-line machine vision yield monitoring

2021 ◽  
Vol 190 ◽  
pp. 106451
Author(s):  
Przemysław Dolata ◽  
Paweł Wróblewski ◽  
Mariusz Mrzygłód ◽  
Jacek Reiner
Mechatronics ◽  
2006 ◽  
Vol 16 (5) ◽  
pp. 243-247 ◽  
Author(s):  
Zhenwei Su ◽  
Gui Yun Tian ◽  
Chunhua Gao

Measurement ◽  
2019 ◽  
Vol 148 ◽  
pp. 106881 ◽  
Author(s):  
Gangfeng Xiao ◽  
Yongting Li ◽  
Qinxiang Xia ◽  
Xiuquan Cheng ◽  
Weiping Chen

2011 ◽  
Vol 291-294 ◽  
pp. 2624-2629 ◽  
Author(s):  
Qing Hua Wu ◽  
Na Dai ◽  
Tao He

A Circle-shape is an important figure in most small rule mechanical parts, and usually be measured to get the radius or used as a stand calibration mark. In this paper, a 2-D circle measurement system for small rule mechanical parts based on machine vision is designed and built. The basic components and work principle of the machine vision measurement system are introduced, and the measurement produce is designed and discussed. An available algorithm for circle contour detected and fitted is described. Using this algorithm, the measurement software flow and architecture are built and the software system realized in the Microsoft visual studio program platform. Certainly, the calibration of machine vision system is introduced also. Using the system and method introduced above, an experiment is designed to measure the outer ring radius of one certain model bearing. The measured data is processed and analyzed. Through the experiment and result, it can be found that the measurement system can get relatively high precision and the measurement method is relatively steady, and the system precision and speed can be suit for the demand of on-line and real-time circle measurement.


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