The radiator grille is an important feature to distinguish the style of vehicle, and also helpful to the automatic recognition of vehicle type. The radiator grille image which is split from the vehicle face is treated as a texture image. By analyzing the Fourier spectrum of the radiator grille image , visual features are extracted. According to the visual features, radiator grilles are classified into different sorts, such as longitudinal or transverse. Compared with other feature extraction methods, the test result shows that the proposed method is effective for the accuracy reaches more than 80%.
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