基于机器视觉的钢材锈蚀表面激光清洗检测方法

Laser Cleaning Detection Method for Rust Layer of Steel Based on Machine Vision

基于机器视觉技术,提出钢材表面锈蚀物激光清洗检测方法。构建了激光清洗视觉检测系统,采用SURF算法对采集图像进行连续拼接,基于HSV色彩空间转换方法,获得钢材锈蚀物的HSV阈值,同时采用中值滤波方法去除干扰像素点。结果表明,基于机器视觉的激光清洗检测方法,实现了激光清洗过程钢材锈蚀表面的视觉检测,与灰度阈值提取方法相比,提高了检测精度,可为钢材锈蚀表面的激光清洗质量提供量化评价。

This paper proposes a laser cleaning detection method for rust surface of steel based on the machine vision technology.The laser cleaning visual detection system is constructed,and the SURF algorithm is used to continuously splice the collected images.Based on the HSV color space conversion method,the HSV threshold of steel rust is obtained,and the median filtering method is used to remove the interference pixels.The results show that the laser cleaning detection method based on machine vision can realize the visual detection of steel rust surface during the laser cleaning process.In comparison with the gray threshold extraction method,the detection accuracy is improved,which can provide quantitative evaluation for the laser cleaning quality of steel rust surface.