Template matching for noisy images

In many applications of computer vision one must deal with images that are distorted by noise which level cannot be estimated exactly. In this work we discuss a template matching framework which uses optimal nonlinear distortion-tolerant filtering technique and can be applied for noisy images. In this paper we assess the accuracy of this framework under conditions of uncertainty in level of noise.