Adaptive image matching based on wavelet multiscale representation

By making use of the characteristic of periodic variation of the discrete wavelet transform coefficient with translation,an adaptive scene matching method based on wavelet multi-scale representation is proposed. This method has eliminated mismatching due to the sensitivity of the discrete wavelet transform to translation. With respect to matching criterion, attention is mainly given to high frequency components and the matching weight coefficients can be adaptively adjusted according to the energy distribution of image high frequency components at different scales and in different directions so as to focus on matching of different structures and in different directions. It has been proved by experiment that, other things being equal, the matching method presented here is better than both the classical gray level correlation matching and edge magnitude matching in terms of the rate of correctness of matching, anti-local gray level reversal and imaging condition variation.