Abstract

The results of the development of a scientific and methodological apparatus for the formation of feature vectors are presented in the interests of automating procedures for detecting forest fires based on the results of processing video image frames. Analytical algorithms for generating feature vectors and solving the problem of detecting their differences in automatic mode are presented. The possibility of synthesizing feature vectors based on image decomposition in the Haar wavelet basis is considered. The optimal Haar wavelet parameters have been determined to ensure maximum contrast of feature vectors. The results of the experiment are presented.

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