Multi-focus thermal image fusion

被引：19

作者：

Benes, Radek ^{[1
]}

Dvorak, Pavel ^{[1
]}

Faundez-Zanuy, Marcos ^{[2
]}

Espinosa-Duro, Virginia ^{[2
]}

Mekyska, Jiri ^{[1
]}

机构：

[1] Brno Univ Technol, Fac Elect Engn & Commun, Dept Telecommun, Brno 61200, Czech Republic

[2] EUP Mataro, Barcelona 08302, Spain

来源：

PATTERN RECOGNITION LETTERS | 2013年 / 34卷 / 05期

关键词：

Thermal image; Focus; Fusion; PERFORMANCE;

D O I：

10.1016/j.patrec.2012.11.011

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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 degrees C. 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. (C) 2012 Elsevier B.V. All rights reserved.

引用

页码：536 / 544

页数：9

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