id: 06074713
dt: j
an: 06074713
au: Lu, Man-man; Teng, Qi-zhi
ti: Implementation of edge linking by ant colony algorithm.
so: J. Comput. Appl. 30, No. 4, 932-934 (2010).
py: 2010
pu: Science Press, Beijing
la: ZH
cc: 
ut: endpoint; ant colony; Gaussian distribution; neighboring difference;
    similarity
ci: 
li: doi:10.3724/SP.J.1087.2010.00932
ab: Summary: The study presents an ant colony algorithm to implement edge
    linking. The proposed approach is based on the original image and the
    edge image gained by traditional approaches to analyze the endpoints,
    and then setting up pheromone values with Gaussian distribution around
    the endpoints in order to make the ants move to the endpoints faster.
    The visibility of the paths is determined by pixel similarity,
    neighboring difference and the direction of the edges synthetically,
    which makes the ants move along the real edge pixels. The experimental
    results indicate that the proposed edge linking approach is efficient
    and good at compensating the broken edges.
rv: