Optimal Threshold Selection for Road Image Segmentation Using Genetic Algorithm

This implementation utilizes genetic algorithms to determine the optimal threshold for road image segmentation, employing Otsu's maximum inter-class variance method as the selection criterion, with program execution achieving highly satisfactory segmentation results through evolutionary optimization.