DocumentCode :
3683423
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
fYear :
2015
Firstpage :
225
Lastpage :
227
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"
Publisher :
ieee
Conference_Titel :
Internet Technologies and Applications (ITA), 2015
Print_ISBN :
978-1-4799-8036-9
Type :
conf
DOI :
10.1109/ITechA.2015.7317399
Filename :
7317399
Link To Document :
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