大尺寸钢板测量中的激光标签精确定位

在基于视觉的非接触测量法中,为了取得较好的测量精度和速度,可以结合激光测量与相机测量两种技术。在实现两种测量系统的配准过程中,对于特定标记物(比如激光标签)的精确定位是提高测量精度的关键技术。针对于此,提出了一种精确的激光标签中心定位方法。首先,利用基于GPU的梯度方向直方图(HOG)算法实现激光标签的粗定位;然后,利用图像二值化方法实现进一步的基于质心法的精确定位。在粗定位过程中,利用GPU的并行计算优势,可以实现对超大图像的实时检测,满足工业测量需求。在二值化过程中,提出了一种基于高斯差分(DOG)的二值化方法,能够取得比传统的Otsu、Bernsen等二值化方法更好的效果。实验结果表明,该方法精度可以达到1mm以下,能够满足工业测量的需要。

Precise positioning of laser tags in large-scale steel plate measurement

In order to achieve better accuracy and speed in non contact measurement based on vision, the camera measuring technologies and the laser measuring technologies can be integrated. In the registration process of the two measuring systems, the precise positioning of a particular marker (such as laser tags) is the key technology to improve the measurement accuracy.We propose a precise positioning method of laser tags. First, the GPU based Histogram of Oriented Gradients (HOG) algorithm is used to detect the laser tags on the steel plate.Then,the image binarization is used for further precise positioning based on the centroid method. In the process of laser tag detection,the very large image can be detected in real time to meet the requirements of industrial measurement due to the parallel computing advantage of GPU.In the process,a novel binarization method based on Difference of Gaussian (DOG) is proposed,which can obtain better results than the traditional methods such as Otsu and Bernsen. Experimental results show that the accuracy of the proposed method can reach 1 mm or less.