Medical Image Processing System Based On Wavelet Transform

Along with the quick development of the hospital of our country, the material circumstance of the medical treatment have improved quickly.In the future the system of the medical image becomes the inevitable trend. But because the restrict of the economic level and no good solution of some pivotal technique,the research and application is still in the primary stage.The construct of medical image system is a big system engineering.It is the high-tech product synthesized the technique and the production of many science realms. The paper researches two pivotal techniques of the database design and the image compression of the medical image system.Through the analysis of the medical image system and the research of the standard of medical digital image and communication standard for short DICOM,a design method based on the DICOM is brought forward. The kind of design meets the DICOM request and is a direction of the database design of the medical image. Along with the continuous apply of the DICOM standard,it will appear its advantage gradually.Wavelet transform is a time and frequency local transformation and it can withdraw the information from the signal.Through the calculate function making the muti-scale analysis it resolves many difficult problems which Fourier transformation can't resolve.In recent years the researches and the applications of wavelet transform on the image compression are flourish, but because wavelet transform is very complicated and its apply has certain localizations. This paper introduces the principle of wavelet transform and the foreground of which in the image compression fields and realizes to compress the medical image with Matlab which is a very popular software. We adopt the lossless compression for Region-of-Interested and for the Region-of-Uninterested where the significance is very small and we reference it only we adopt the wavelet compression of high compressibility. Thus high compression ratio is gained and it is favorable to the storage and transmission of medical image.