Extraction of a Useful Signal on a Thermogram When it is Converted to a Two-Dimensional Image Using a Two-Dimensional Aperture Filter

A useful signal extraction from noise is one of the actual tasks of signal processing. A new method for one-dimensional signal extraction from noise using a two-dimensional filter is proposed in this study. The proposed method is very effective and simply implemented in practice. The method is used only for a two-dimensional image. The method is based on the filtering process described by the equation of autocorrelation type. The results of one-dimensional signal extraction on a thermogram in the form of a structural transition for a polymer through discrete filtration are presented.