基于采样窗的非均匀路面图像校正算法

Algorithm of Correcting Uneven Illumination Pavement Image Based on Sampling Window

针对传统的灰度校正方法不能有效地校正全局光照不均匀的路面图像,提出基于采样窗的路面图像光照不均匀校正算法.算法根据路面图像相邻像素的相关性以及非均匀成像原理,利用图像的均值和残差计算某点的背景灰度因子,利用像素点的线性变换方法求出校正后的图像.仿真实验证实,该算法能有效地减少图像的光照不均匀,达到校正图像的目的.

In view of the traditional gray correction method little effect on correcting global illumination uneven pavement image, it proposed a method of correcting uneven illumination image based on samplinig window. According to the correlation of adjacent pixels pavement image as well as their non-uniform imaging principle, the algorithm calcuated background grey factor point using image mean and residual image, and then obtained corrected image using the linear transformation method. Simulation results show that the algorithm can effectively reduce image non-uniform illumination and correct the image.