Image mosaic based on levenberg-marquardt algorithm
Xingdao He · Jiguang zazhi · 2007
The Levenberg-Marquardt Algorithm is the combination of the gradient decent Algorithm with the Gauss-Newton algorithm.It has the ability of both fast convergence and global search.The LM Algorithm is used in parametric automatic optimization of the transformation matrix in Image Mosaic.After parametric automatic optimization of corresponding points,the transformation matrix is quickly got,and then the image mosaic is realized.In the LM Algorithm,the distance sum of squares of the corresponding points is taken as the target function.The detail realization and result of the method is given.Compared with the gray level difference sums of squares as the aim function.The Interpolation Algorithm is avoided advance,then the M transformation matrix is more accurately.The result indicates that the method of image mosaic has high precision and fast speed.