.png){kind=icon}
返回
Robust shape-based template matching algorithm for target localization under SEM
.png){kind=icon}
OA
AI
DOI：10.1364/OE.498087.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
A novel acceleration algorithm for geometric template matching is proposed based on the Cauchy-Schwartz inequality (C-S inequality) in this paper. The proposed approach is validated under a scanning electron microscope (SEM), and its effectiveness is demonstrated. In this approach, the object shape features are represented as column vectors with complex elements. Then, a threshold is determined to exclude the sliding windows without any matched objects. Finally, surface fitting is employed to obtain the subpixel positions of the targets, and least squares adjustment is utilized to fine-tune the obtained results. The experimental results demonstrate that the proposed method can significantly reduce the matching time by 59% - 96% compared with the traditional shape-based method. Furthermore, the strong robustness and high accuracy are verified under different disturbances. Additionally, the approach is shown to be robust and accurate under different types of disturbances, thus confirming its suitability for real-time targets tracking on SEM with high accuracy.
Keyword:
RECOGNITION
IMAGES
期刊
IF:
3.3
论文数:
6.1W
被引数:
15.1W
机构
引用论文
An accurate and distraction-free vision-based structural displacement measurement method integrating Siamese network based tracker and correlation-based template matching一种基于Siamese网络的跟踪器和基于相关性的模板匹配相结合的基于视觉的精确且无干扰的结构位移测量方法.png)
MEASUREMENT
OAAI
MEASUREMENTIF5.6
OAAI分享收藏Online detection of external thread surface defects based on an improved template matching algorithm基于改进模板匹配算法的外螺纹表面缺陷在线检测MEASUREMENT
MEASUREMENTIF5.6
PREAI
分享收藏Lipoptena Mazamae Rondani, 1878 (Diptera: Hippoboscidae) on White-Tailed Deer in Southern Texas1
PREAI
分享收藏
查看更多内容