Method of images segmentation by dynamic spectral characteristics

Authors

DOI:

https://doi.org/10.3103/S0735272716010040

Keywords:

real-time image processing, images segmentation, biometric features, dynamic spectral characteristics, wavelet transformation, quasi-matched wavelet filtering, pulse measurement

Abstract

In considered method we use basic principles of biometrics and bioradiolocation for solution of the problem of images segmentation. Using dynamic spectral characteristics, obtained by means of wavelet spectrum we extract biometric indicator in form of signal of brightness pixels modification at the face skin part, specified by heartbeat. It is proposed to use quasi-matched wavelet filters for efficient selection of human heartbeat signal and it is shown the possibility of its frequency measurement practically at real-time mode. Obtained results can be used for many medical applications, security systems, object identification, etc.

References

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Published

2016-01-21

Issue

Section

Research Articles