Fuzzy surroundedness

SURROUND is an important spatial relationship in the interpretation of a scene. Some researchers have worked on the definition of SURROUND but the results did not produce a membership degree consistent with human perception. In this paper, we propose a network-based method to learn SURROUND using the test results of human perception as the desired outputs of the neural network. Experimental results of the proposed method show excellent membership degrees of SURROUND.