锻压技术

基于图像识别的轧辊表面破损检测系统

英文标题：Roll surface damage detection system based on image recognition

作者：杨晋玲1 段牧忻2

分类号：TP271

出版年,卷(期):页码：2021,46(6):225-230

摘要：

考虑到轧辊是轧机的重要组成部件，轧辊的质量直接影响轧机成形产品的质量，研究了基于图像识别的轧辊表面破损检测系统。利用高清摄像机采集轧辊图像；使用滤波去噪算法去除图像中的干扰因素；使用图像分割技术分割图像，以提高图像的识别效率；使用模板匹配的方法进行破损的识别；使用拉普拉斯方法对图像进行锐化处理，从而使得轧辊破损区域的边缘更加清晰，更容易被显示出来；结合采集的图像特征形成专家诊断库。对于新采集到的待识别图像，通过与专家诊断库的数据进行对比，即可自动判别其为何种破损类型。实验表明，研究的检测系统对于腐蚀、划痕或裂纹、剥落这3大类轧辊的破损情况均有较好的检测效果。

The roll is an important component of rolling mill, and the quality of roll directly affects the quality of the products formed by rolling mill. Therefore, the roll surface damage detection system based on image recognition was studied by using high-definition camera to collect roll image, using filter denoising algorithm to remove the interference factors in the image, using image segmentation technology to segment the image in order to improve the efficiency of image recognition, using template matching method to identify the damage, using Laplace method to sharpen the image so that the edge of the damaged area for roll was clearer and easier to be displayed, and combining with the collected image features to form the expert diagnosis database. Furthermore, for the newly collected image to be identified, the damage type was automatically identified by comparing with the data of expert database. The experimental results show that the detection system has good detection effect for three types of roll damage such as corrosion, scratch or crack and spalling.

基金项目：

国家自然科学基金资助项目（61525108）

作者简介：杨晋玲（1992-），女，硕士研究生 E-mail：yjl9212@126.com 通信作者：段牧忻（1969-），女，本科，高级工程师 E-mail：dwwqqq2021@126.com

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