Title :
Template matching for noisy images
Author :
Sergey Shaydullin;Andrey Turkin;Nikolay Chelyshev
Author_Institution :
Department of Computer Science, National Research University of Electronic Technology, Zelenograd, Moscow, Russia
Abstract :
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.
Keywords :
"Matched filters","Convolution","Noise"
Conference_Titel :
Internet Technologies and Applications (ITA), 2015
Print_ISBN :
978-1-4799-8036-9
DOI :
10.1109/ITechA.2015.7317399