Author:
Shi Dongdong,Huang Fuyu,Yang Jun,Jia Leilei,Niu Yuandong,Liu Limin
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.
Funder
National Natural Science Foundation of
China
Natural Science Foundation of Hebei
Province
Natural Science Foundation of Jiangsu
Province
Subject
Atomic and Molecular Physics, and Optics,Engineering (miscellaneous),Electrical and Electronic Engineering