像素
角点检测
校准
计算机视觉
插值(计算机图形学)
人工智能
光学
点(几何)
计算机科学
边缘检测
GSM演进的增强数据速率
摄像机切除
棋盘
图像处理
数学
图像(数学)
物理
几何学
统计
作者
Daxin Shi,Fuyu Huang,Leilei Jia,Y. Niu,Limin Liu
出处
期刊:Applied Optics
[The Optical Society]
日期:2024-01-17
卷期号:63 (3): 831-831
摘要
In this work, we propose a new, to the best of our knowledge, corner point detection method for a super-wide field of view infrared imaging system. First, the edge of the checkerboard calibration board is detected at the pixel level by morphological operation. Second, the interpolation technique is used to refine the edge so that the edge has sub-pixel accuracy. We obtain the four checkerboard unit corners near the real corner point and average the coordinates of the four corners to indirectly obtain the coordinates of the real corner point. Meanwhile, we take pictures of the same calibration board at different angles for repeatability verification. It is proved that the improvement of our algorithm for the detection of corners of super-wide field of view infrared images is more feasible compared to the traditional algorithms.
科研通智能强力驱动
Strongly Powered by AbleSci AI