Orientation relations represent a significant component of spatial relations, complementing topological and distance relations, for the description of a spatial scene. The most important operator, in a spatial reasoning model is an operator of composition defining the behavior of the combination of two relations. This paper will focus on composition of orientation relations modeling by orientation histogram. Composition can be seen as fusion of orientation information derived from the orientation histograms and spatial object information, represented mainly by vectorial data.