针对传统的畸变图像校正方法,其所建立的畸变数学模型,不仅求解畸变参数复杂、计算量大,且存在很大的数值计算误差的问题,提出了一种基于神经网络的畸变图像校正方法。
According to the graphic distortion of the laser galvanom, a kind of conic calibration model was put forward based on post-validation of geometry distortion caused by the imaging system.
针对传统的畸变图像校正方法,其所建立的畸变数学模型,不仅求解畸变参数复杂、计算量大,且存在很大的数值计算误差的问题,提出了一种基于神经网络的畸变图像校正方法。
According to the graphic distortion of the laser galvanom, a kind of conic calibration model was put forward based on post-validation of geometry distortion caused by the imaging system.
应用推荐