Abstract: A new image edge-detection algorithm is studied in order to inspect the disease of road surface. The edge-detection of road situation image based on fuzzy and genetic algorithm is presented, in order to solve some problems in the fuzzy edge-detection algorithms, such as the lost low gray signal, the low measuring speed on the edge and so on. This new algorithm retains the low gray information lost after fuzzy processing. It improves the efficiency and strengthens the adaptability of the algorithm. Compared with the traditional fuzzy edge-detection algorithm, the proposed algorithm can detect the low gray signal of the image effectively while inspecting the road crack accurately and run fast.