Detail publikace

Multi-focus thermal image fusion

Originální název

Multi-focus thermal image fusion

Anglický název

Multi-focus thermal image fusion

Jazyk

en

Originální abstrakt

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.

Anglický abstrakt

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.

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",
  annote="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.",
  chapter="95194",
  number="5",
  volume="34",
  year="2013",
  month="april",
  pages="536--544",
  type="journal article"
}