An Otsu multi-thresholds segmentation algorithm based on improved ACO
An Otsu multi-thresholds segmentation algorithm based on improved ACO is a scholarly work, published in 2018 in ''The Journal of Supercomputing''. The main subjects of the publication include ant colony optimization algorithms, convergence, segmentation, swarm behaviour, ant colony, artificial bee colony algorithm, swarm intelligence, Otsu's method, artificial intelligence, motion planning, particle swarm optimization, image segmentation, computer science, mathematical optimization, thresholding, range, process, and algorithm. The experimental results show that the proposed algorithm could obtain the optimal thresholds faster and more effectively than the traditional Otsu algorithm and the Otsu based on traditional ACO.