
CLASSIFICATION OF MULTICHANNEL IMAGES BASED ON CELLULAR PROCESSES
(STEF92 Technology, 2019-06-20, Р. А. Томакова)
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The aim of the work is the analysis of multichannel images intended for medical research related to the classification of radiographs. Two methods of descriptor formation are proposed as a basis for constructing the rules of classification of multichannel raster images. Based on these descriptors, two groups of classifiers are built with the subsequent aggregation of decisions made by these classifiers. Descriptors are generated based on the analysis of the contours of segment edges of the corresponding raster in ...





