基于机器视觉的钢带表面划痕检测方法研究

Research on Steel Belt Surface Scratch Detection Method Based on Machine Vision

钢带作为重要的生产原材料,在现代工业生产中有着广泛的应用。但高效的钢带表面质量控制与检测一直是困扰业界的难题,为提高对钢带表面划痕的检测效率,应用机器视觉技术对钢带表面划痕状况进行检测。使用Halcon编写基于机器视觉的表面划痕检测程序,对采集图像进行预处理、图像阈值分割、提取联通区域、特征提取和形态学等操作,实现了对钢带表面划痕的快速检测。

As an important raw material for production,steel belt is widely used in modern industrial production.But efficient steel belt surface quality control and detection has always been a difficult problem in the industry.In order to improve the detection efficiency of steel belt surface scratches,machine vision technology is used to detect the surface scratches situation of steel belts.It uses Halcon to write a surface scratch detection program based on machine vision,and carries out preprocessing of the collected images,image threshold segmentation,extraction of connected areas,feature extraction and morphology and other operation,achieves rapid detection of surface scratches on steel belts.