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In this article, modern principles of processing and working with images have been investigated and applied for specific tasks of character information recognition in conditions of small character size and image fuzzy due to chromatic aberrations, including non-fuzzy C-means, which have proven themselves with high accuracy and speed. processing of initial data. For ease of perception and a more understandable process, we conditionally divide the algorithm into several stages: image improvement and filtering in order to bring data to the optimal information load of the algorithm by suppressing non-maximum points; correction of intensity values according to the level of grayscale pixels; processing of the region of the image with symbolic information by distributing gray tones.

Algorithm for finding contours for the purpose of processing symbolic information in conditions of small symbol size and chromatic aberrations