Shi Dongdong, Huang Fuyu, Yang Jun, Jia Leilei, Niu Yuandong, Liu Limin
Appl Opt. 2024 Jan 20;63(3):831-837. doi: 10.1364/AO.511181.
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.
在这项工作中，据我们所知，我们为超宽视场红外成像系统提出了一种新的角点检测方法。首先，通过形态学运算在像素级别检测棋盘格校准板的边缘。其次，使用插值技术对边缘进行细化，以使边缘具有亚像素精度。我们获取真实角点附近的四个棋盘格单元角点，并对这四个角点的坐标进行平均，以间接获得真实角点的坐标。同时，我们在不同角度拍摄同一块校准板的照片进行重复性验证。结果表明，与传统算法相比，我们的算法在超宽视场红外图像角点检测方面的改进更具可行性。
