Image stitching method based on overlapping region scale-invariant feather transform (SIFT) feature points

Abstract

The invention discloses an image stitching method based on overlapping region scale-invariant feather transform (SIFT) feature points and belongs to the technical field of image processing. Aiming at the problems that the algorithm computation is large and subsequent matching error and computing redundancy are easily caused due to the non-overlapping region features because of extraction of the features of the whole image in the conventional image stitching algorithm based on features, the invention provides an image stitching method based on the overlapping region SIFT feature points. According to the method, only the feature points in the image overlapping region are extracted, the number of the feature points is reduced, and the algorithm computation is greatly reduced; and moreover, the feature points are represented by employing an improved SIFT feature vector extraction method, the computation during feature point matching is further reduced, and the mismatching rate is reduced. The invention also discloses an image stitching method with optical imaging difference, wherein the image stitching method comprises the following steps of: converting two images with optical imaging difference to be stitched to a cylindrical coordinate space by utilizing projection transformation, and stitching the images by using the image stitching method based on the overlapping region SIFT feature points.

Description

technical field [0001] The invention relates to an image mosaic method, in particular to an image mosaic method based on SIFT feature points in overlapping regions, and belongs to the technical field of image processing. Background technique [0002] Image stitching is a technology that stitches a series of overlapping images describing the same scene into a wide-view image. It solves the contradiction between image field of view and image resolution. High resolution images. Image stitching technology has a wide range of applications. [0003] Image mosaic technology includes image registration and image fusion, among which image registration is the core and key of image mosaic. At present, the commonly used image registration methods are mainly divided into three methods: image registration method based on gray information, image registration method based on transform domain and image registration method based on feature. The feature-based image registration method is fa...

AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by the present invention is to overcome the shortage of excessive calculation in the prior art, and propose an image mosaic method based on SIFT feature points in the overlapping area, which only extracts the feature points in the overlapping area of ​​the image, and greatly reduces the extraction time. The number of feature points and the calculation amount of the algorithm, while reducing the wrong matching pairs and improving the matching effect

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