A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Geometric Primitive Extraction Using a Genetic Algorithm
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fast Robust GA-Based Ellipse Detection
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 2 - Volume 02
Machine Vision: Theory, Algorithms, Practicalities
Machine Vision: Theory, Algorithms, Practicalities
Circle detection on images using genetic algorithms
Pattern Recognition Letters
Adaptive Computational Chemotaxis in Bacterial Foraging Algorithm
CISIS '08 Proceedings of the 2008 International Conference on Complex, Intelligent and Software Intensive Systems
An improved bacterial foraging optimization
ROBIO'09 Proceedings of the 2009 international conference on Robotics and biomimetics
EDCircles: A real-time circle detector with a false detection control
Pattern Recognition
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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.