CVMar 16, 2022

Multi-focus thermal image fusion

arXiv:2203.08513v123 citationsh-index: 34
Originality Incremental advance
AI Analysis

This addresses the need for accurate temperature measurement in thermal imaging by fusing multi-focus images, and it is the first work in this specific area.

The paper tackles the problem of multi-focus thermal image fusion by proposing a novel algorithm based on local activity analysis and pre-selection, resulting in an improvement of object temperature measurement error by up to 5 degrees Celsius.

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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