An automatic system for analysis and retrieval of building floor plans images is helpful for the architects while designing new projects and providing recommendations to the buyers. For such systems, query by example is preferred over query by keyword, for which user’s requirements must be available in digital image form. Floor plans are converted to digital form by scanning and often get rotated slightly by a certain degree of angle during digitization. In this paper, we have proposed a geometric feature-based approach for floor plan image retrieval and our key contribution is to handle different kinds of rotation and scale while retrieving similar floor plan from the database. Our framework is divided into three phases, namely outer shape feature extraction, internal object feature extraction, followed by matching and retrieval. For our experimentation, we have rotated images of ROBIN dataset as currently no rotated floor plan dataset was available. Our experiment shows that the proposed methodology outperforms recent competing methods.

一个用于分析和检索建筑平面图图像的自动系统，对于建筑师在设计新项目并向买家提供建议时非常有用。对于此类系统，通过示例查询优于通过关键字查询，对于该查询，用户要求必须以数字图像形式提供。平面图通过扫描转换为数字形式，并且在数字化过程中通常会稍微旋转一定角度。在本文中，我们提出了一种基于几何特征的平面图图像检索方法，我们的主要贡献是在从数据库中检索相似的平面图时处理各种旋转和比例。我们的框架分为三个阶段，即外形特征提取，内部对象特征提取，匹配和检索。对于我们的实验，我们旋转了ROBIN数据集的图像，因为当前没有旋转的平面图数据集。我们的实验表明，所提出的方法优于最近的竞争方法。