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A comprehensive road segmentation program for natural scenes, implementing essential image processing steps including detection, boundary extraction, and result generation for applications in traffic planning and autonomous systems.
This approach combines traditional Otsu's thresholding method with modern genetic algorithm optimization to enhance image segmentation performance. When applied to road segmentation in intelligent transportation systems, it achieves improved segmentation accuracy while significantly accelerating computational efficiency to meet real-time processing requirements. The implementation involves optimizing threshold selection through genetic operators like crossover and mutation.