Automatic circle detection on images with an adaptive bacterial foraging algorithm

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. Categories and Subject Descriptors I.2.8 [Artificial Intelligence]: Problem Solving, Control Methods,

• Type: Conference
• Year: 2008
• Where: GECCO
• Authors: Sambarta Dasgupta, Arijit Biswas, Swagatam Das, Ajith Abraham
• Keywords: Algorithm, Automatic Detection, Fuzzy Objective Function, GECCO 2008, Optimization