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- W2359571886 abstract "An automatic registration algorithm between infrared and visible images based on step estimation of affine model parameters is proposed.Firstly,the six degrees of freedom of the affine model are separated into some more easily estimated parameters using matrix orthogonal decomposition method,which are skew,scale ratio,rotation,scaling and translations in x and y directions.Secondly,two objective functions are constructed for step estimation of these parameters based on the orientation consensus constraint and alignment measure between segments,respectively,and parameter values which make objective function approximate the global optimum are obtained using SGA(Stud Genetic Algorithm) algorithm.Finally,the estimated values of the parameters are locally refined using Powell algorithm.The experimental results show that the proposed method can make full use of orientation consensus constraint and location distribution information of segments,and realize automatic registration between infrared and visible images efficiently and precisely on condition that two images to be registered contain abundant corresponding segments and diverse distributions of segment orientations." @default.
- W2359571886 created "2016-06-24" @default.
- W2359571886 creator A5066491526 @default.
- W2359571886 date "2012-01-01" @default.
- W2359571886 modified "2023-09-25" @default.
- W2359571886 title "An Automatic Algorithm for Infrared and Visible Image Registration Based on Parameter Step Estimation" @default.
- W2359571886 hasPublicationYear "2012" @default.
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