资 源 简 介
用于医学图像分割中降维的的主成分分析PCA。
Image registration and fusion are of great importance in defence and civilian sectors, e.g.
,recognising a ground/air force vehicle and medical imaging. Pixel-level image fusion using
wavelets and principal component analysis has been implemented and demonstrated in PC
MATLAB. Different performance metrics with and without reference image are implemented to
evaluate the performance of image fusion algorithms. As expected, the simple averaging fusion
algorithm shows degraded performance. The ringing tone presented in the fused image can be
avoided using wavelets with shift invariant property. It has been concluded that image fusion
using wavelets with higher level of decomposition showed better performance in some metrics
and in other metrics, principal components analysis showed better performance.
