Development of a fusion technique and an algorithm for merging images recorded in the IR and visible spectrum in dust and fog

Evgenii Semenishchev; Aleksandr Zelensky; Andrey Alepko; Marina Zhdanova; Viacheslav Voronin; Yury Ilyukhin

doi:10.1117/12.2641155

2 November 2022 Development of a fusion technique and an algorithm for merging images recorded in the IR and visible spectrum in dust and fog

Evgenii Semenishchev, Aleksandr Zelensky, Andrey Alepko, Marina Zhdanova, Viacheslav Voronin, Yury Ilyukhin

Author Affiliations +

Proceedings Volume 12271, Electro-optical and Infrared Systems: Technology and Applications XIX; 122710O (2022) https://doi.org/10.1117/12.2641155
Event: SPIE Security + Defence, 2022, Berlin, Germany

Abstract

The article proposes a fusion technique and an algorithm for combining images recorded in the IR and visible spectrum in relation to the problem of processing products by robotic complexes in dust and fog. Primary data processing is based on the use of a multi-criteria processing with complex data analysis and cross-change of the filtration coefficient for different types of data. The search for base points is based on the application of the technique of reducing the range of clusters (image simplification) and searching for transition boundaries using the approach of determining the slope of the function in local areas. As test data used to evaluate the effectiveness, pairs of test images obtained by sensors with a resolution of 1024x768 (8 bit, color image, visible range) and 640x480 (8 bit, color, IR image) are used. Images of simple shapes are used as analyzed objects.

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Evgenii Semenishchev, Aleksandr Zelensky, Andrey Alepko, Marina Zhdanova, Viacheslav Voronin, and Yury Ilyukhin "Development of a fusion technique and an algorithm for merging images recorded in the IR and visible spectrum in dust and fog", Proc. SPIE 12271, Electro-optical and Infrared Systems: Technology and Applications XIX, 122710O (2 November 2022); https://doi.org/10.1117/12.2641155

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