Research of Recognition Method for Surface Defects of Hot-Rolled Round Steel Based on Image Processing

Author:

Shao Chang Cheng1,Xu Gong Wen1,Xu Hao1,Liao Ming Hai2,Zhao Hong Luan1,Zhang Zhi Jun1,Zhao Qian2

Affiliation:

1. Shandong Jianzhu University

2. Shandong Xiehe College

Abstract

The surface defects is an important factor affecting the quality of hot-rolled round steel, so the recognition of surface defects plays a very important role in the daily usage of the hot-rolled round steel. This paper aims to bring forward an appropriate method to find out the surface defects of the hot-rolled round steel under the help of Matlab software. First of all, the image edge of the round steel was detected, and the image was segmented. Secondly, the segmented image may appear bended, so it would be straightened to make the surface defects recognition easy. The third step is to eliminate image noise. Finally the processed image was analyzed and the appropriate recognition method was figured out. The results show that the method proposed in this paper is effective and accurate.

Publisher

Trans Tech Publications, Ltd.

Subject

General Engineering

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. High Performance Network for Detection of Surface Defects on Hot-Rolled Steel Strips Based on an Optimized Yolo V3;2022 9th International Conference on Electrical and Electronics Engineering (ICEEE);2022-03-29

2. Classification of Surface Defects on Steel Strip Images using Convolution Neural Network and Support Vector Machine;Journal of Failure Analysis and Prevention;2022-01-28

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