基于工图图像的法兰三维重建方法研究

Research on Flange 3D Reconstruction Method Based on Engineering Drawings Image

三维重建课题虽然已经被提出了40余年,但其依然存在效率低、准确性差与模型有歧义等问题。针对上述问题以法兰零件为例提出一种基于工图图像的法兰零件重建方法,方法以工程图纸的扫描图像为研究对象,对其进行降噪、分割与细化等处理,然后采用Harris角点识别算法与Hough圆检测算法提取并统计其上特征,并采用BP神经网络识别并提取零件重建的必要参数,最终实现了法兰模型的三维重建。为工程图纸的三维重建提供了新思路与方法,对后续研究有一定的指导意义。

Although the three-dimensional reconstruction project has been proposed for more than 40 years,it still has problems such as low efficiency,poor accuracy and ambiguity in the model.In view of the above problems,this paper proposes a flange part reconstruction method based on the engineering drawings image,taking the flange part as an example.The method takes the scanned image of engineering drawings as the research object,and carries out noise reduction,segmentation and refinement,etc.Then,the Harris corner recognition algorithm and the Hough circle detection algorithm are used to extract and count the features above it,and the BP neural network was used to identify and extract the necessary parameters for the reconstruction of the parts.Finally,the three-dimensional reconstruction of the flange model was realized.It provides new ideas and methods for the three-dimensional reconstruction of engineering drawings,and has a certain guiding significance for follow-up research.