Multi-focus thermal image fusion

• URL: http://arxiv.org/abs/2203.08513v1
• Date: Wed, 16 Mar 2022 10:27:33 GMT
• Title: Multi-focus thermal image fusion
• Authors: Radek Benes, Pavel Dvorak, Marcos Faundez-Zanuy, Virginia Espinosa-Duro, Jiri Mekyska
• Abstract summary: The algorithm is based on local activity analysis and advanced pre-selection of images into fusion process. The proposed algorithm is evaluated by half total error rate, root mean squared error, cross correlation and visual inspection.
• Score: 0.34998703934432673
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• 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 Celsius degrees. 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.

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