Multi-focus thermal image fusion

Authors:
Radek Benes;Pavel Dvorak;Marcos Faundez-Zanuy;Virginia Espinosa-Duró;Jiri Mekyska
Affiliations:
Department of Telecommunications, Faculty of Electrical Engineering and Communication, Brno University of Technology, Purkynova 118, 612 00 Brno, Czech Republic;Department of Telecommunications, Faculty of Electrical Engineering and Communication, Brno University of Technology, Purkynova 118, 612 00 Brno, Czech Republic;EUP Mataró, Tecnocampus, 08302 Mataro, Barcelona, Spain;EUP Mataró, Tecnocampus, 08302 Mataro, Barcelona, Spain;Department of Telecommunications, Faculty of Electrical Engineering and Communication, Brno University of Technology, Purkynova 118, 612 00 Brno, Czech Republic
Venue:
Pattern Recognition Letters
Year:
2013

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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 5^oC. 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.