Paper
30 May 2019 Algorithm for image stitching in the infrared
Evgenii Semenishchev, Viacheslav Voronin, Aleksandr Zelensky, Igor Shraifel
Author Affiliations +
Abstract
The paper considers the question of stitching of infrared images obtained from different points and with the modified internal parameters of the camera. As test data, we use images taken by the thermal camera. To combine pairs of images, we use the several auxiliary algorithms are required, including: elimination of noise on images (denoising); restoration of sharpness on images (deblurring); search for basic elements on pairs IR images; separation of images into elements with given threshold values; search for correlations between base elements; elimination of false matches; search for the image conversion coefficient; search for the boundary of stitching and check the conditions for overlapping objects; if necessary, the perform the color correction operation and change the color balance; stitching pair of images and finding a common border. On the set of test images show the effectiveness of the proposed approach.
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Evgenii Semenishchev, Viacheslav Voronin, Aleksandr Zelensky, and Igor Shraifel "Algorithm for image stitching in the infrared", Proc. SPIE 11002, Infrared Technology and Applications XLV, 110022H (30 May 2019); https://doi.org/10.1117/12.2519537
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CITATIONS
Cited by 6 scholarly publications.
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KEYWORDS
Infrared imaging

Image processing

Control systems

Smoothing

Infrared cameras

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