动态照明和视觉增强地表检查图像的阴暗的水下混凝土结构的图像
Xiaoyan Xu1, Jie Yang1, Lin Cheng1
1State Key Laboratory of Water Engineering Ecology and Environment in Arid Area, Xi'an University of Technology, Xi'an 710048, China.
Sensors (Basel, Switzerland)
|September 27, 2025
概括
这项研究介绍了DIVE,这是一种新的算法,用于增强水下混凝土图像,这些图像因度和光线不良而退化. DIVE 提高了图像质量,用于在具有挑战性的水生环境中检测缺陷.
科学领域:
- 计算机视觉 计算机视觉
- 图像处理 图像处理
- 材料科学 材料科学 材料科学
背景情况:
- 水下混凝土结构遭受由于水,不均的照明和散射而导致的图像质量下降.
- 准确地检测表面缺陷对于在海洋和水生环境中评估结构完整性至关重要.
研究的目的:
- 开发一种有效的水下图像增强算法,以改善表面缺陷检测.
- 为了应对度不均,颜色偏差和水条件下的散射等挑战.
主要方法:
- 收集的实验室图像模拟了水库水条件,沉积物度和照明程度各不相同.
- 提出了动态照明和视觉增强 (DIVE) 算法.
- 实现了照明-散射解,动态照明校正,散射校正,局部马校正和G/B通道调整.
主要成果:
- DIVE显著提高了水中的图像质量,沉积物度高达500g/m3.
- 该算法通过并行化和矢量化实现了1920 × 1080分辨率的实时处理.
- 有效地平衡明亮/黑暗区域并纠正颜色偏差.
结论:
- DIVE提供了一个强大的解决方案,用于在复杂的环境中增强水下混凝土图像.
- 该算法适用于水库,海洋和沉积物中的应用,改善了缺陷检测能力.
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