格式塔原则与图形凸分解结合的建筑物群直线模式识别方法

Linear building pattern recognition combining Gestalt principles and convex polygon decomposition

建筑物群空间分布模式是重要的城市结构特征。以往研究多基于格式塔原则将建筑物作为整体认知分布模式,忽略了从建筑物局部到整体的视觉认知过程而导致模式的漏识别。本文提出结合格式塔原则和图形凸分解识别直线模式方法:首先,基于三元组和格式塔原则定义直线模式;其次,结合图形凸分解识别直线模式,图形分解时顾及了建筑物图形的直角化特征。试验结果表明,本文方法能有效识别建筑群中直线模式,相比已有直线模式识别方法准确率和召回率分别提高了15.7%和30.5%。

Building patterns are important local structures characterizing urban areas. Building patterns in previous studies are mostly recognized based on the Gestalt principles in which buildings are considered as a whole. However, human vision is also proved as a parts-based system, and some visually aware patterns may fail to be recognized with the existing methods. This paper first combines Gestalt principles and the convex polygon decomposition to recognize linear patterns. First, the linear patterns are defined based on the triples and Gestalt principles. Second, linear patterns are recognized combining the convex polygon decomposition, and the buildings ’ orthogonal features are considered in their decomposition. The experimental results show that proposed method is effective to recognize the linear patterns in study area. Compared with the existing methods, the accuracy and recall have increased by 15.7% and 30.5%, respectively.