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- W4323786121 abstract "The article explores the spatial analysis of visual models obtained at different planes or in different spectral ranges. The article introduces the concepts of structured and poorly structured models and reveals their content. Poorly structured visual models have no clear boundaries, and some of their objects lie beyond the level of visual perception. Processing such visual models requires special technique. The article suggests using a number of photographic images of different planes to improve visual perception. Low-visibility objects are identified from high-density images. From images with an average density, other objects contours are revealed. For processing and comparison of series of images on all photographic images, a conditional coordinate system is selected. This system is associated with objects visible at any density. The article suggests using auxiliary contour or structural images. Structural images are obtained by gradient processing of the original images. With the help of structural images, all objects are transferred to a synthetic image. The method allows processing images in different spectral ranges." @default.
- W4323786121 created "2023-03-11" @default.
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- W4323786121 date "2023-01-01" @default.
- W4323786121 modified "2023-09-25" @default.
- W4323786121 title "Spatial analysis of visual models" @default.
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- W4323786121 doi "https://doi.org/10.1063/5.0127121" @default.
- W4323786121 hasPublicationYear "2023" @default.
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