Road Image Segmentation Using Genetic Algorithm
Implementation of road image segmentation based on genetic algorithm, demonstrating effective performance in processing road images with detailed code-oriented methodology.
Road Image Segmentation Using Color Information
Road image segmentation based on color information can effectively eliminate shadows on roads through multi-channel color processing and algorithmic implementation.
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.