Abstract

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.

© 2024 Optica Publishing Group

Checkerboard corner detection method based on neighborhood linear fitting

Xin Du, Benchi Jiang, Lulu Wu, and Meng Xiao
Appl. Opt. 62(29) 7736-7743 (2023)

Plane chessboard-based calibration method for a LWIR ultra-wide-angle camera

Yichao Chen, Fu-yu Huang, Feng-ming Shi, Bing-qi Liu, and Hao Yu
Appl. Opt. 58(4) 744-751 (2019)

Optical design of a visible/short-wave infrared common-aperture optical system with a long focal length and a wide field-of-view

Aqi Yan, Weining Chen, Qianxi Li, Min Guo, and Hao Wang
Appl. Opt. 63(9) 2382-2391 (2024)

Robust and adaptive star identification algorithm based on linear assignment for multiple large field of view visual imaging systems

Guangyi Dai, Qilin Liu, Lei Deng, Peng Sun, Bixi Yan, Jun Wang, and Mingli Dong
Appl. Opt. 63(12) 3192-3201 (2024)

Attitude measurement of ultraclose-range spacecraft based on improved YOLOv5s and adaptive Hough circle extraction

Qi Liu, Xiyu Tang, and Ju Huo
Appl. Opt. 63(5) 1364-1376 (2024)