一种提高景像匹配算法抗灰度畸变能力的方法

A Method to Improve the Anti-Grayscale Distortion Ability of Scene Matching Algorithm

为了有效消除巡航导弹景像匹配制导中制导图灰度畸变对匹配精度的影响 ,在定性分析制导图灰度畸变数学误差模型的基础上 ,给出了图像灰度最小化的定义及实现方法。通过对制导图的灰度最小化预处理 ,提高了匹配算法的抗灰度畸变能力。结合经典的灰度归一化积相关景像匹配算法 ,分析并验证了这一处理方法的可行性及有效性。

For the purpose of efficiently solving the problem that matching precision influenced by grayscale distortion of images for guidance in cruise missile scene matching guidance, mathematics error models of grayscale distortion of images for guidance is qualitatively analyzed, definition to image grayscale minimization and its implement method are given. Through grayscale minimization preprocessing on images for guidance, the anti grayscale ability of matching algorithm is improved. Experiment is carried out with the traditional grayscale Normalized Product correlation (NProd) scene matching algorithm, the results show the feasibility and efficiency of the method proposed by this paper.