Nuclear medical image reflects form and change of organ organizes

using special exploration device to explore human body's radioactive nuclide distribute outside the human body. As the SNR of Nuclear medical image is obviously lower than other medical image(X-ray

CT and MRI)

the picture of nuclear medical image is coarse and the resolving power is low

the processing method of nuclear medical image is obvious much more important than other medical images. In accordance with the characteristic of dynamic nuclear medical image

the self- adaptive enhancing and smoothing algorithm has been proposed

which is used for removing the noise of the nuclear medical image

enhancing the contrast of the nuclear medical image and improving the visual effect of nuclear medical image. After doing that

the reading effect of the nuclear medical image is much better. This method that the paper probe into is a kind of effectual method that is suitable for processing the relatively low gray level

the bigger noise interferes of the dynamic nuclear medicine image. However

the static nuclear medicine image should adopt the proper treatment method according to the statistics characteristics ofγpicture.