Che Ti-ben, Wu Xiao-hong, He Xiao-hai, et al. Multiple Core Fluorescence Images Stitching Based on L-M Optimization Algorithm. [J]. Advanced Engineering Sciences 44(Z1):166-170(2012)
Che Ti-ben, Wu Xiao-hong, He Xiao-hai, et al. Multiple Core Fluorescence Images Stitching Based on L-M Optimization Algorithm. [J]. Advanced Engineering Sciences 44(Z1):166-170(2012)DOI:
Multiple Core Fluorescence Images Stitching Based on L-M Optimization Algorithm
Abstract:Considering of the distortion caused by the accumulative error in multiple core fluorescence image stitching
we proposed a global optimization methods based on L-M(Levenberg—Marquardt) algorithm. In order to achieve global registration
which can minimize the sum of error distance for all feature point after spherical transforming in all image
we based on the initial parameters of the spherical projection for each image and used L-M algorithm to do iterative calculation;during the iterative calculation
the damping parameter μ will be real-time adjusted due to the gain ratio δ so that we can continuously update the iteration direction and the size of step
find the optimal set of projection parameter. The algorithm is applied to the multiple core fluorescence images stitching
solved the problem that the distortion of stitched image caused by the accumulative error