为在水体浑浊度的影响下，还原水下拍摄场景的真实颜色信息，研究考虑浑浊度的水下无人航行器采集图像色彩误差校正方法。分析水下无人航行器采集图像的工作原理，依据该原理在不同浑浊度水体下，利用水下无人航行器完成图像采集，并使用直方图均衡化方法增强采集的图像，在此基础上运用改进灰度世界算法，实现增强图像的色彩误差校正。实验结果表明：该方法使用后的极限浑浊度图像的像素灰度级分布十分均匀，图像质量明显改善；水体浑浊度与采集图像的色彩误差具有正比关系，且该方法对不同水体浑浊度下的采集图像，均具有较优异的色彩误差校正效果。
In order to restore the true color information of underwater shooting scene under the influence of water turbidity, the color error correction method of Underwater Unmanned Aerial Vehicle image acquisition considering turbidity is studied. This paper analyzes the working principle of image acquisition by Underwater Unmanned Aerial Vehicle. According to this principle, underwater unmanned aerial vehicle is used to complete image acquisition in water with different turbidity, and histogram equalization method is used to enhance the collected image. On this basis, the improved gray world algorithm is used to realize the color error correction of the enhanced image. The experimental results show that the pixel gray level distribution of the extreme turbidity image after this method is very uniform, and the image quality is significantly improved; the turbidity of water body is in direct proportion to the color error of the collected image, and this method has excellent color error correction effect for the collected images under different turbidity of water body.
2022,44(15): 161-164 收稿日期：2022-03-11
DOI：10.3404/j.issn.1672-7649.2022.15.034
分类号：TP391.4
作者简介：鲍艳(1982-)，女，硕士，讲师，研究方向为机器视觉及艺术设计
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