%0 Journal Article
%A XIA Yu-peng
%A WANG Xin
%A HU Feng
%T Methods of improving image gradients reliability on optical flow algorithm
%D 2010
%R 10.3778/j.issn.1002-8331.2010.04.052
%J Computer Engineering and Applications
%P 163-165
%V 46
%N 4
%X In order to make the data responding to the edges of moving objects expand to the area，whose gray is flat，it needs to keep iterative numbers enough large on gradient-based optical flow algorithm.The traditional approach needs a large amount of calculation，but result accuracy is low.The gradient number accuracy and reliability will directly determine the result of optical flow algorithm.It is possible to manage gradient number effectively，modify them and improve numerical reliability of image gradient data，by using Hessian matrix distinguishing，Gaussian filtering standard deviation amending，mean model amending and multi-image comparing.These approaches can prevent gradient data of moving objects edge diffusing around，and guide them indirectly.Then，they improve precision and convergence speed for optical flow calculation.
%U http://cea.ceaj.org/EN/10.3778/j.issn.1002-8331.2010.04.052