基于机器视觉的薄带铸轧熔池液位识别方法

为解决薄带铸轧熔池液位难检测的问题，研发机器视觉识别熔池钢水液位的方法.利用线阵CCD下熔池钢水与铸轧辊灰度值有明显差别的图像特征，建立熔池液位的机器视觉检测系统.利用所选线阵相机采集图像速度快的特性，提出基于时间建立熔池液位图像原型的方法，建立了以滤波处理、二值化处理和边界识别为核心的熔池液位视觉识别模型.使用建立的系统和模型在实验室铸轧机和感应加热炉上进行了测试实验，结果表明:所建的熔池液位视觉检测系统和识别方法具备可行性，具有较高的检测精度和较快的检测速度，能够满足工业生产需要.

Recognition Method of the Molten Steel Level in the Strip Casting Process Based on the Machine Vision

A recognition method based on the machine vision was designed and investigated to solve the problem on the measurement of molten steel level in the strip casting processing. Based on the different image grey values captured by linear CCD camera between the molten steel and casting rolls， a machine vision system for measuring molten steel level was designed. By the high speed character of the linear camera image data acquisition， a method to create molten steel level original image by the time was proposed and the molten steel level recognition model was established building with filtering， binarization and boundary recognition as the core. The system and model were tested on a small scale strip casting machine and the induction furnace respectively. The results illustrate that the molten steel level detection system and its recognition method are feasible， which show high levels of the precision and response speed and can be applied in the industrial line for the strip casting.