Edge-enhancement EPMA Image Fusion Based on Directionlet Transform

摘要

The Directionlet is an anisotropic multi-direction method with perfect reconstruction and critical sampling based on lattice, and it has obvious advantages in image edges. Based on analysing different EPMA image features, this paper starts extracting edges based on integral lattice, setting corresbonding windows to compare mean value and standard deviation, and then begin weighted fusion based on window features. The experiment shows that this method can better describe the edge properties, as well as has strong robustness, which is applied to EPMA image fusion with strong edge property.