CAJ | 학술논문

针对废杂铜再生熔炼过程中铜含量指标离线检测时滞大的问题，提出一个基于机器视觉的铜含量快速检测系统。首先，使用3CCD彩色相机获取再生铜样本的横截面图像。然后，利用图像亮度标准差和边缘像素百分比这两个特征筛选建模样本。改进了颜色向量角，并提取建模铜样本的颜色向量角。最后，利用改进的颜色向量角和实测铜含量数据建立一个基于最小二乘支持向量机的铜含量估计模型。为了对比，如下铜含量最小二乘支持向量回归模型也被建立：1)仅使用样本筛选方法；2)仅改进颜色向量角；3)不使用样本筛选方法和改进的颜色向量角。另外，还分别建立了使用样本筛选方法和不使用样本筛选方法的两个指数函数铜含量回归模型。实验结果表明，同时使用样本筛选方法和改进颜色向量角的最小二乘支持向量回归模型具有最高的估计准确度，尤其是当建模样本数目较少的时候。
침대폐잡동재생용련과정중동함량지표리선검측시체대적문제，제출일개기우궤기시각적동함량쾌속검측계통。수선，사용3CCD채색상궤획취재생동양본적횡절면도상。연후，이용도상량도표준차화변연상소백분비저량개특정사선건모양본。개진료안색향량각，병제취건모동양본적안색향량각。최후，이용개진적안색향량각화실측동함량수거건립일개기우최소이승지지향량궤적동함량고계모형。위료대비，여하동함량최소이승지지향량회귀모형야피건립：1)부사용양본사선방법；2)부개진안색향량각；3)불사용양본사선방법화개진적안색향량각。령외，환분별건립료사용양본사선방법화불사용양본사선방법적량개지수함수동함량회귀모형。실험결과표명，동시사용양본사선방법화개진안색향량각적최소이승지지향량회귀모형구유최고적고계준학도，우기시당건모양본수목교소적시후。
A vision-based color analysis system was developed for rapid estimation of copper content in the secondary copper smelting process. Firstly, cross section images of secondary copper samples were captured by the designed vision system. After the preprocessing and segmenting procedures, the images were selected according to their grayscale standard deviations of pixels and percentages of edge pixels in the luminance component. The selected images were then used to extract the information of the improved color vector angles, from which the copper content estimation model was developed based on the least squares support vector regression (LSSVR) method. For comparison, three additional LSSVR models, namely, only with sample selection, only with improved color vector angle, without sample selection or improved color vector angle, were developed. In addition, two exponential models, namely, with sample selection, without sample selection, were developed. Experimental results indicate that the proposed method is more effective for improving the copper content estimation accuracy, particularly when the sample size is small.