Title :
Edge-enhancement EPMA Image Fusion Based on Directionlet Transform
Author :
Xiang, Li ; Shun, He Yue ; Xuan, Zhan
Author_Institution :
Dept. of Comput., Nanjing Univ. of Sci. & Technol., Nanjing, China
Abstract :
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 corresponding 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.
Keywords :
edge detection; electron probe analysis; image fusion; transforms; EPMA image features; EPMA image fusion; anisotropic multidirection method; directionlet transform; edge enhancement; image edge extraction; integral lattice; mean value; standard deviation; Anisotropic magnetoresistance; Electron beams; Image analysis; Image fusion; Image reconstruction; Information analysis; Lattices; Probes; Scattering; Surface topography; Directionlet transform; edge- enhancement; image fusion; integral lattice;
Conference_Titel :
Intelligent Information Technology Application, 2009. IITA 2009. Third International Symposium on
Conference_Location :
Nanchang
Print_ISBN :
978-0-7695-3859-4
DOI :
10.1109/IITA.2009.199