| Due to the limitation of the microscopic focal length, the obtained microscopic images are often blurred in some local areas, which causes that people can not recognize or understand it completely. And this paper researches the fusion method about the microscopy serial images.Firstly, the paper adopts the edge characteristic image registration, and the practical experiments prove this auto-matching method is effective. Secondly, the research analyses the principle of image decomposition and reconstruction based on wavelet-pyramid method. From the former way the paper proposes a new wavelet transform algorithm based on the energy fusion rules. And the new way can remove the defocused areas showed by the experimental result. And through the entropy and others evaluation, the comprehensive evaluation result was achieved. Thirdly, this research is successfully applied to the examination on the cutting tool surface and workpiece surface.Based on the different energy distributions of the low-frequency band and the high-frequency band, which are achieved by discrete wavelets transform, an original method for wavelet coefficient combination is proposed in this paper. It takes the ratio of the two bands as a characteristic... |