A constraint neural network for Huffman-Clowes scene labeling

A four-layered constraint satisfaction neural network for performing Huffman-Clowes scene labeling (D.A. Huffman, 1971; M.B. Clowes, 1971) is proposed. Given a line drawing, the network establishes a consistent labeling for all the edges or detects that it is physically unrealizable. The experimental results show that this approach exploits the parallel architecture inherent in the network and is faster than the conventional algorithmic method