Weighted-Hausdorff distance using gradient orientation information for visible and infrared image registration

Hausdorff distance measures the distance between two sets in a metric space. The conventional Hausdorff distance is calculated by using only individual point and each point is equally weighted. The gradient orientation of each point is ignored, which limits the performance of Hausdorff distance in the image registration. Moreover, different points are of different importance and thus should be assigned different weights. This paper proposes a method to register visible and infrared images with modified Hausdorff distance measure, which uses both the position and the gradient orientation of each point. Each point is differently weighted by corner response value of each point. The experimental results demonstrate a better performance of the proposed method for registration of multi-sensor images in comparison with existing methods, which are based on conventional Hausdorff distance by the root of the mean square error (RMSE).