Přístupnostní navigace
E-application
Search Search Close
Publication detail
BENEŠ, R. DVOŘÁK, P. FAÚNDEZ ZANUY, M. ESPINOSA-DURÓ, V. MEKYSKA, J.
Original Title
Multi-focus thermal image fusion
Type
journal article - other
Language
English
Original Abstract
This paper proposes a novel algorithm for multi-focus thermal image fusion. The algorithm is based on local activity analysis and advanced pre-selection of images into fusion process. The algorithm improves the object temperature measurement error up to 5C. The proposed algorithm is evaluated by half total error rate, root mean squared error, cross correlation and visual inspection. To the best of our knowledge, this is the first work devoted to multi-focus thermal image fusion. For testing of proposed algorithm we acquire six thermal image set with objects at different focal depth.
Keywords
image fusion, thermal image, activity level, image preselection
Authors
BENEŠ, R.; DVOŘÁK, P.; FAÚNDEZ ZANUY, M.; ESPINOSA-DURÓ, V.; MEKYSKA, J.
RIV year
2013
Released
1. 4. 2013
ISBN
0167-8655
Periodical
PATTERN RECOGNITION LETTERS
Year of study
34
Number
5
State
Kingdom of the Netherlands
Pages from
536
Pages to
544
Pages count
9
BibTex
@article{BUT95194, author="Radek {Beneš} and Pavel {Dvořák} and Marcos {Faúndez Zanuy} and Virginia {Espinosa-Duró} and Jiří {Mekyska}", title="Multi-focus thermal image fusion", journal="PATTERN RECOGNITION LETTERS", year="2013", volume="34", number="5", pages="536--544", issn="0167-8655" }