The algorithm searching for local features on pairs of thermal images used for the process of stitching

E. Semenishchev; V. Voronin; A. Zelensky; O. Balabaeva; A. Gavlicky

doi:10.1117/12.2571702

30 September 2020 The algorithm searching for local features on pairs of thermal images used for the process of stitching

E. Semenishchev, V. Voronin, A. Zelensky, O. Balabaeva, A. Gavlicky

Author Affiliations +

Proceedings Volume 11503, Infrared Sensors, Devices, and Applications X; 1150313 (2020) https://doi.org/10.1117/12.2571702
Event: SPIE Optical Engineering + Applications, 2020, Online Only

Conference Poster

Abstract

Modern devices based on the analysis of thermal images are used in the construction of technical systems and the analysis of processes occurring into objects. In the modern world, the analysis of information about temperature changes allows you to solve many problems, drive a car in poor visibility conditions (fog, smog, twilight or night), create security systems and control access to objects, analyze internal processes, including such as: chemical reactions; friction analysis; checking the operation of complex technical systems (bearings, electrical, lubrication, cooling); living organisms (analysis of processes tissue death); temperature audit of buildings; analysis of the operation of internal combustion engines; braking and friction analysis systems; other. The image formed by the thermal imager has a low resolution. In order to analyze complex processes, it is necessary to develop methods and algorithms for combining images into a single information field. The problem of stitching images is encountered in many areas of technology, but for IR it is the most difficult. The article proposes an approach that allows you to identify local features in IR images, which allows you to increase the accuracy of stitching pairs of images into a single composition. The proposed algorithm based on layer-by-layer image analysis. The analysis is based on the search for local features, followed by a change in the bitrate of the image and the study of stationary edges. An example of highlighting local features is shown on a set of test images captured by a thermal imaging camera. The scope of this approach is the task of combining images obtained only in the infrared range.

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E. Semenishchev, V. Voronin, A. Zelensky, O. Balabaeva, and A. Gavlicky "The algorithm searching for local features on pairs of thermal images used for the process of stitching", Proc. SPIE 11503, Infrared Sensors, Devices, and Applications X, 1150313 (30 September 2020); https://doi.org/10.1117/12.2571702

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