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9 August 2023 Thermal camera data preprocessing based on real-time inter-frame data
Evgenii Semenishchev, Inessa Gracheva, Nikita Mityuov, Egor Surkov, Viacheslav Voronin, Daniil Laykhov, Aleksandr Zelensky
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Proceedings Volume 12621, Multimodal Sensing and Artificial Intelligence: Technologies and Applications III; 1262116 (2023) https://doi.org/10.1117/12.2678220
Event: SPIE Optical Metrology, 2023, Munich, Germany
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Abstract
To eliminate the noise component in infrared images, the paper proposes a method of inter-frame data alignment, built on the operations of pre-processing and highlighting the contours of objects and based on the following basic stapes: at the initial stage, the system operation parameters are determined, the frame size is read, the color field depth and speed fixing frames; the operation of selecting local areas with minimization of objects allows you to create a mask of objects and localize subsequent methods; determining the construction of inter-frame pixel shift vectors; accumulationformation of color intensity change data; data filtering based on a multi-criteria method based on the application of the criterion of the standard deviation of the results and the generated estimates, as well as the standard deviations of the final differences of the second order; frame processing of images by a two-dimensional multi-criteria method with preservation of object boundaries; framing the output image. On the set of test data obtained by the seak and flir cameras, examples of processing objects of simple shapes are given. Examples of visual reduction of the noise component on frames of test images are shown. Examples of error reduction in the formation of the proposed approach on synthetic sequences with superimposed Gaussian noise are given.
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Evgenii Semenishchev, Inessa Gracheva, Nikita Mityuov, Egor Surkov, Viacheslav Voronin, Daniil Laykhov, and Aleksandr Zelensky "Thermal camera data preprocessing based on real-time inter-frame data", Proc. SPIE 12621, Multimodal Sensing and Artificial Intelligence: Technologies and Applications III, 1262116 (9 August 2023); https://doi.org/10.1117/12.2678220
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KEYWORDS
Cameras
Image processing
Far infrared
Image quality
Thermal imaging cameras
Image filtering
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