Medical Image Fusion Algorithm Fitting Human Visual Properties
符合人眼视觉特性的医学图像融合算法

Aiming at the properties of medical images, This paper presents an algorithm based on human visual properties, with the use of de-noising algorithm, the algorithm improve the contrast of the fusion image and decrease the influence of noises. Based on the differences between noises and image characters, the algorithm decrease noises of source images first, the wavelet transform coefficients of noises will be removed. To the coefficients of high frequency, fusion rules using different oriental gradient of the coefficients to select fusion coefficients, bigger ones will finally construct the fusion image. The coefficients of low frequency will be given different weighting; image with big entropy has big weighting. The experimental results show that new algorithm improve the entropy of the image, protect the characters of the image and look well.