Preprocessing for stereo vision based on LOG filter

In order to improve LOG filter performance for stereo vision, a new preprocessing method was proposed. This method was divided into 4 steps: firstly wipe out random noise with a mean filter, then reduce Gaussian noise with a Gaussian filter, and next balance brightness difference between stereo image pairs with the approach histogram equalization, and finally enhance image edges and details with a Laplacian operator. Experimental results demonstrate that this preprocessing method can eliminate image noise and reduce brightness difference effectively.