Application Of Wavelet Analysis In Image Matching

The status and the development trend of the image matching is Analyzed in this paper. And some of the matching methods are realized. After Having a research on wavelet analysis and the sampling of two dimension signals, it is pointed out that it is a good method that compounds wavelet method with image matching, simultaneously indicated that quincunix decimation is a good method for natural image. A deep research is focused on the application of wavelet method and fractal geometry in image matching and how to design the program of wavelet, and they are embodied. Adopting different sieve methods, different matching methods, and different integrating methods, we can achieve different arithmetics. At that time, I improve two methods: one is used in image matching, the other is adopted in wavelet analysis. They are implemented and simulated. With deeply analyzing the result, I also apply wavelet analysis to reduce image-noise to achieve a good result. Otherwise the relationship of wavelet analysis and fractal method is discussed. Finally, I apply the technology of oop and com to the software design of image processing. And a good result is achieved in vc++6.0.