Preprocessing of traffic sign images based on improved histogram equalization and bilinear interpolation

Zhaohui Liu; Jun Yan

doi:10.1117/12.3026484

27 March 2024 Preprocessing of traffic sign images based on improved histogram equalization and bilinear interpolation

Zhaohui Liu, Jun Yan

Proceedings Volume 13105, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2023); 131050I (2024) https://doi.org/10.1117/12.3026484
Event: 3rd International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2023), 2023, Qingdao, China

Abstract

In real-world scenarios, due to the complexity of the outdoor environment, motion blur, and the geometric features of the signs themselves, the obtained traffic sign images often exhibit severe distortion, which has a negative impact on subsequent feature extraction and classification. Therefore, this article proposes Canny's traffic sign edge extraction algorithm based on bilinear interpolation improvement. Firstly, in order to reduce the actual consumption of image processing and recognition in the later stage, this article adopts the weighted average method to process the grayscale of the original color image; Secondly, in order to reduce the impact of light intensity on image quality, this article adopts a histogram equalization image enhancement method; Then, in order to avoid the impact of scale on subsequent feature extraction and classification, this paper uses bilinear interpolation to normalize the image; Finally, by improving the Canny edge detection algorithm, the problem of limited edge detection for long-distance traffic signs is solved, thereby accurately detecting edges and improving efficiency. These preprocessing steps can effectively improve image quality and improve the accuracy of subsequent feature extraction and classification.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Zhaohui Liu and Jun Yan "Preprocessing of traffic sign images based on improved histogram equalization and bilinear interpolation", Proc. SPIE 13105, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2023), 131050I (27 March 2024); https://doi.org/10.1117/12.3026484

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KEYWORDS

Image processing

Histograms

Interpolation

Edge detection

Digital filtering

Tunable filters

Image filtering

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