Spatial information is a crucial aspect of image processing, computer vision and structural recognition for modeling context as well as resolving the uncertainties caused by the ambiguities in low-level features. This calls for the framework of fuzzy sets, which exhibits nice features to represent spatial imprecision, and which provides powerful tools for fusion, decision-making and reasoning. In this paper, we present that several spatial fuzzy relationships constructed from fuzzy set operators and norms, and suggest some potential applications in structural object recognition and image retrieval based on fuzzy spatial relationships.