Research On Edge Camber Detection Method Of Hot Rolled Steel Based On Hough Transform

The edge camber detection of hot rolled steel mainly depends on human eyes and sensors, but its accuracy is unsatisfactory and there is a certain delay. Therefore, the scheme of using machine vision to detect the bending of hot rolled steel was explored in this paper. Based on the practical engineer...

Full description

Saved in:
Bibliographic Details
Main Authors: Junjie, Bai, Taoqi, Zhou, Jianfneg, Cai, Shuai, Gao, Jiajie, Li, Junbo, Bai
Format: Conference Proceeding
Language:English
Subjects:
Bending
Bending detection
Edge camber
Hough Transform
Image edge detection
Imaging
Information processing
Machine vision
Tin
Wavelet transforms
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The edge camber detection of hot rolled steel mainly depends on human eyes and sensors, but its accuracy is unsatisfactory and there is a certain delay. Therefore, the scheme of using machine vision to detect the bending of hot rolled steel was explored in this paper. Based on the practical engineering problems of hot-rolled plate bending detection, aiming at improving the imaging identification, effectiveness and industrial applicability, an identification method and some key technologies of edge camber detection image were explored in tins paper. Combined with the real hot-rolled steel bending image, the operators of Gaussian, Sobel and Laplace, and Hough transform were used for image preprocessing and line detection respectively. After defining the bending coefficient, the plate bending degree was divided into five grades. And the experiment shows that the machine vision method explored in this paper can accurately judge whether the hot-rolled steel is bent and grade the bending degree.
ISSN:2576-8964
DOI:10.1109/ICCWAMTIP53232.2021.9674156