Automatic circle detection on images with an adaptive bacterial foraging algorithm
Sambarta Dasgupta, Arijit Biswas, Swagatam Das, Ajith Abraham · 2008
This article presents an algorithm for the automatic detection of circular shapes from complicated and noisy images. The algorithm is based on a recently developed swarm-intelligence technique, well known as the Bacterial Foraging Optimization (BFO). A new fuzzy objective function has been derived for the edge map of a given image. Minimization of this function with an adaptive version of the BFO algorithm leads to the automatic detection of circles on the image.