Otsu Image Segmentation Based on a Fractional Order Moth–Flame Optimization Algorithm
Otsu Image Segmentation Based on a Fractional Order Moth–Flame Optimization Algorithm is a scholarly work, published in 2024 in ''Fractal and Fractional''. The main subjects of the publication include image, segmentation, stock order, optoelectronics, swarm intelligence, Otsu's method, artificial intelligence, image segmentation, computer science, autofocus, computer vision, pattern recognition, and algorithm. The experimental results indicate that, compared with traditional MFO, the convergence rate of the proposed algorithm is improved by about 74.62%.