Eliminating illumination influence via Gaussian-based local sensitive histogram

Kaijun Qi; Cao Li

doi:10.1117/12.2680164

27 June 2023 Eliminating illumination influence via Gaussian-based local sensitive histogram

Kaijun Qi, Cao Li

Proceedings Volume 12705, Fourteenth International Conference on Graphics and Image Processing (ICGIP 2022); 127052Z (2023) https://doi.org/10.1117/12.2680164
Event: Fourteenth International Conference on Graphics and Image Processing (ICGIP 2022), 2022, Nanjing, China

Abstract

Eliminating the influence of illumination is one of the important preprocessing methods to improve the stability of image processing algorithms. Shengfeng He provided an effective method to eliminate the influence of illumination by using local sensitive histogram. This method considers that the farther the distance between two pixels in the image, the smaller the influence of illumination on each other, which is an exponential relationship. However, this assumption has very low sensitivity for pixels at different distances from the center point, which leads to feature loss in images after eliminating the influence of illumination. Therefore, this paper applies Gaussian distribution to redefine the local sensitivity histogram, which effectively improves the sensitivity difference of pixel distance. The experimental comparison shows that in the case of large differences in lighting conditions, the algorithm proposed in this paper can retain more image features and is more robust in eliminating the influence of illumination.

Citation Download Citation

Kaijun Qi and Cao Li "Eliminating illumination influence via Gaussian-based local sensitive histogram", Proc. SPIE 12705, Fourteenth International Conference on Graphics and Image Processing (ICGIP 2022), 127052Z (27 June 2023); https://doi.org/10.1117/12.2680164

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