Algorithm for increasing the discriminability of sections of vortex structures and wind flows recorded by radio frequency stations using Doppler effect analysis

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 criterion 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 1024x768 (8 bit, color, IR image) are used. Images of simple shapes are used as analyzed objects.