Paper
19 December 2013 Classification of vehicle's radiator grille using Fourier spectrum analysis
Fa-wen Li, Xi-ying Li, Qian-yin Jiang
Author Affiliations +
Proceedings Volume 9045, 2013 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Processing Technology; 90451W (2013) https://doi.org/10.1117/12.2038170
Event: International Conference on Optical Instruments and Technology (OIT2013), 2013, Beijing, China
Abstract
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%.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Fa-wen Li, Xi-ying Li, and Qian-yin Jiang "Classification of vehicle's radiator grille using Fourier spectrum analysis", Proc. SPIE 9045, 2013 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Processing Technology, 90451W (19 December 2013); https://doi.org/10.1117/12.2038170
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KEYWORDS
Image segmentation

Visualization

Feature extraction

Binary data

Classification systems

Spectrum analysis

Edge detection

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