Abstract This paper proposes a new approach to creating Building Information (BIM) models of existing buildings from digitized images. This automatic approach is based on three main steps. The first involves extracting the useful information automatically from rasterized plans by using image processing techniques that include segmentation, filtering, dilation, erosion, and contour detection. This information feeds the knowledge base of an expert system for BIM model generation. In the second step, using the knowledge base of the expert system, the information required to inform the BIM model can be deduced. The range of information thus obtainable can be extended beyond the examples given. The paper concludes with a discussion of the final stage: the automatic generation of an Industry Foundation Classes (IFC) information model with all the desired geometric, physical and technical information. This can be accomplished by using one of the available open-source application program interfaces (APIs). This stage is currently work-in-progress and will be the subject of a future publication.

中文翻译：

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从数字化计划中自动生成建筑信息模型

摘要 本文提出了一种从数字化图像创建现有建筑物的建筑信息 (BIM) 模型的新方法。这种自动方法基于三个主要步骤。第一个涉及通过使用包括分割、过滤、膨胀、腐蚀和轮廓检测在内的图像处理技术从光栅化计划中自动提取有用信息。此信息为 BIM 模型生成专家系统的知识库提供信息。第二步，利用专家系统的知识库，推导出通知BIM模型所需的信息。因此可以获得的信息范围可以扩展到给出的例子之外。论文最后讨论了最后阶段：自动生成具有所有所需几何、物理和技术信息的行业基础类 (IFC) 信息模型。这可以通过使用可用的开源应用程序接口 (API) 之一来完成。这一阶段目前正在进行中，并将成为未来出版物的主题。