Research on Image Splicing and Fusion Processing Algorithm in Large Visual Field
Abstract: To obtain wide area
and a large field of view image, splicing and fusion algorithm is presented.
Single image is preprocessed by utilizing rough matching algorithm, which can
narrow down the matching range to improve the speed and precision of image stitching
and fusion, at the same time, Single image is preprocessed by filter processing
algorithm, which will reduce interference noise, improve SNR and enhance the
effective character information of image; the best matching position is found
by using a combined splicing algorithm, which are ratio template matching
algorithm and template matching algorithm, and the images are spliced at the
best matching position; we take the neighborhood weighted average fusion
algorithm to eliminate the distinct splicing trace. The captured images are
processed by using correlation algorithm, a large field of view and high
quality image is obtained. The experimental results verify the validity of the
algorithm.
Author: Wu Jie, Zuren Feng,
Xiaoru Song
Journal Code: jptkomputergg140096
