数字图像与镜相机的相关性及其在复杂变形测量中的应用
Hao Hu1, Boxing Qian2, Yongqing Zhang1
1Qingdao Research Institute, School of Marine Science and Technology, Northwestern Polytechnical University, Xi'an 710072, China.
Sensors (Basel, Switzerland)
|July 8, 2023
概括
使用镜相机的新色彩数字图像相关 (DIC) 方法提高了复杂变形测量精度. 这种增强的DIC技术利用丰富的色彩信息,在具有挑战性的场景中进行更精确的分析.
科学领域:
- 光学测量 测量 光学测量
- 机械工程 机械工程
- 图像处理 图像处理
背景情况:
- 传统的数字图像关联 (DIC) 方法在准确测量复杂变形方面存在局限性.
- 拜耳相机以有限的独立通道信息捕获彩色图像,影响测量精度.
研究的目的:
- 提出并验证一种使用镜相机进行增强变形测量的新型彩色DIC方法.
- 在涉及复杂和非线性变形的场景中提高DIC的准确性.
主要方法:
- 使用镜摄像机获取高保真色彩图像,使用三个独立的信息通道.
- 调整和增强经典的灰度图像匹配算法,用于颜色斑点图案.
- 开发一个合并的子集匹配算法,以计算跨颜色通道的光强度变化,包括整数-像素和子像素匹配.
主要成果:
- 数字模拟证实了该方法在测量非线性变形方面的有效性.
- 使用气压缩试验进行实验验证,证明了其实际适用性.
- 与传统的灰度DIC相比,彩色DIC方法显示出更高的准确性,用于复杂的变形分析.
结论:
- 拟议的彩色DIC方法显著提高了测量准确性,特别是在复杂的变形.
- 该技术能够利用丰富的色彩信息,为先进的光学计量学提供了强大的解决方案.
- 与立体视觉和投射色彩斑点图案的集成扩大了其应用于复杂几何形状的应用.
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