Title: Machine vision based edge detection method for toilet seat

Authors: Bingyan Cui; Peng Chen; Weicun Zhang

Addresses: College of Mechanical Engineering, North China University of Science and Technology, Tangshan, 063210, China ' College of Mechanical Engineering, North China University of Science and Technology, Tangshan, 063210, China ' School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, 10083, China

Abstract: Trajectory planning plays a vital role in the stability and accuracy of the robot when working. Using the edge detection principle of machine vision for trajectory planning can provide high reliability for polishing the robot. Grinding the trajectory, which is more stable when grinding the edges of sanitary ceramics and can make the manipulator get rid of the harm caused by the strange posture and excessive working amplitude. According to the practical application characteristics of the toilet seat trimming process, this paper proposes a new method of toilet edge detection. When there is a reflective area for edge detection, the method can eliminate the false edge of the image caused by the reflection. There are high precision and strong robustness in this new edge detection algorithm, which has a high guiding significance to assist the toilet seat processing industry.

Keywords: machine vision; edge detection; toilet seats; Canny operator; image acquisition; linear histogram.

DOI: 10.1504/IJMIC.2020.114790

International Journal of Modelling, Identification and Control, 2020 Vol.35 No.4, pp.338 - 345

Received: 20 Apr 2020
Accepted: 05 Jul 2020

Published online: 29 Apr 2021 *

Full-text access for editors Access for subscribers Purchase this article Comment on this article