Image stitching algorithm research based on OpenCV
Kaili Chen, Meiling Wang · 2014
In view of the vast scene and high-resolution image stitching problems, this paper studies a kind of Harris image stitching algorithm which is based on OpenCV configuration environment. First of all, the Harris corner detection is used to extract the feature points. Then Normalized Cross Correlation is used to rough match the feature points and RANSAC algorithm is used to eliminate error matching. Secondly, cylindrical projection transformation model is adopted to realize image registration algorithm. And finally this paper uses an improved weighting average fusion algorithm to fuse images, reducing the computational complexity of image fusion and eliminating seam of stitched images. This algorithm reduces the overlapping rate of images during image stitching and increases the speed of image Registration and Mosaic. It realizes the purpose of giving consideration to both precision and efficiency.