Fusion of Fuzzy Spatial Relations

Spatial relations are essential for understanding the image configuration and modeling common sense knowledge. In most of existing methods, topological, directional and distance spatial relations are computed separately as they have separate application domains. Introduction of Temporal Geographic Information System (TGIS), spatiotemporal reasoning and study of spatio-temporal relations required the computation of topological and metric spatial relations together. In this paper the fuzzy topological and directional relations are integrated with the help of fuzzy Allen relations and directions are evaluated by specific fuzzy membership functions. A matrix of fuzzy relations is developed where the topological and directional relations are integrated for a 2D scene. Experiments are performed to validate the proposed method. The results are analyzed and interpreted from histograms.

• Type: Conference
• Year: 2010
• Where: HAIS
• Authors: Nadeem Salamat, El-hadi Zahzah
• Keywords: Artificial Intelligence, Directional Relations, Distance Spatial Relations, HAIS 2010, Spatial Relations