说明：  小波变换在图像融合中的应用已有不少,但大多是热图像和可视图像的融合,在医学图像融合方面的研 究还比较少。针对这一现状,提出了基于形态学小波的医学多分辨率融合方法和小波域基于差值图像分割的加权融 合方法。该方法保留了小波的视觉效果,同时在很大程度上减少了运算的复杂度,优化了加权系数的计算方法,得到 了较好的融合效果。实验结果表明了该算法的优越性。
(There are many app lications ofwavelet transform to image fusion. But the images fusioned usually are thermal or visible images. A multi2resolution fusion method based on morphology wavelet and a weighted fusion method based on difference image segmentation in wavelet region formedical imageswere p roposed. These methodsmaintained the visual effect of wavelet, reduced the computation comp lexity to a great extent, and op timized the computation ofweighted coefficients. The experimental results show the excellent fusion effect by these methods.)