Extraction of tire size code using local phase

Hao Zhang; Jin He; Zhanhua Huang

doi:10.1117/12.840034

24 November 2009 Extraction of tire size code using local phase

Hao Zhang, Jin He, Zhanhua Huang

Proceedings Volume 7513, 2009 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Process Technology; 75130B (2009) https://doi.org/10.1117/12.840034
Event: International Conference on Optical Instrumentation and Technology, 2009, Shanghai, China

Abstract

Tire size code (TSC) specifies the dimensions of the tire, and some of its key limitations, such as load-bearing ability and maximum speed. The key challenge of vision based TSC identification is the low contrast of TSC to tire background. In order to extract TSC from low-contrast tire images, this paper proposed to consider the contours of TSC as the symmetry axes of the neighbor pixels along the contours. The symmetry axes were detected using local phase information which is robust to image brightness and contrast. Firstly, the ring shaped tire region was segmented and then expanded to a rectangular region, where all characters were upright. Due to the intensity values of the neighbor pixels along the contours of TSC were symmetric, the contours in low-contrast tire image were enhanced using local phase information, which is computed by Log-Gabor wavelets. Finally, the thin contours were extracted by non-maxima suppression and thresholding with hysteresis. Experiments on real tire images showed that, in comparison with intensity based algorithms, the proposed algorithm were robust to uneven illumination and low-contrast.

Citation Download Citation

Hao Zhang, Jin He, and Zhanhua Huang "Extraction of tire size code using local phase", Proc. SPIE 7513, 2009 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Process Technology, 75130B (24 November 2009); https://doi.org/10.1117/12.840034

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KEYWORDS

Detection and tracking algorithms

Image segmentation

Wavelets

Optical character recognition

Sensors

Image enhancement

Image processing algorithms and systems

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