Inverse image alignment method for image mosaicing and video stabilization in fundus indocyanine green angiography under confocal scanning laser ophthalmoscope.
An efficient image registration algorithm, the Inverse Compositional image alignment method based on minimization of Sum of Squared Differences of images, is applied in fundus blood vessel angiography under confocal scanning laser ophthalmoscope, to build image mosaics which have larger field of view without loss of resolution to assist diagnosis. Furthermore, based on similar technique, the angiography video stabilization algorithm is implemented for fundus documenting. The actual underlying models of motion between images and corresponding convergence criteria are also discussed. The experiment results in fundus images demonstrate the effectiveness of the registration scheme.
Department of Biomedical Engineering, Xi'an Jiaotong University, Xi'an 710049, China.
Yongjin
Y
Zhou
Hui
H
Xue
Mingxi
M
Wan
D000465:Algorithms; D004396:Coloring Agents; D005451:Fluorescein Angiography / Q000379:methods*; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D007208:Indocyanine Green; D018613:Microscopy, Confocal / Q000379:methods*; D009887:Ophthalmoscopy
D004396:Coloring Agents; D007208:Indocyanine Green