Image splicing method and system thereof

Abstract

The embodiment of the invention provides an image splicing method and a system thereof; the image splicing method comprises the following steps: matching feature points are extracted from at least twopairs of synchronous frames, and the synchronous frame pairs are provided with an image overlapping region obtained by two different angles; homography matrix is solved according to the matching feature points; the homography matrix is applied to carry out image splicing to the synchronous frame pairs obtained by two different angles. In the embodiment of the invention, the matching feature points are extracted from a plurality of the synchronous frame pairs, so as to obtain a plurality of matching feature points, compared with the prior art, the matching feature points are extracted from a pair of the synchronous frame pairs, the method in the invention has representativeness, and the obtained homography matrix is reliable and accurate, thereby obtaining better image splicing effect.

Description

technical field [0001] The invention relates to the technical field of digital image processing, in particular to an image mosaic method and system. Background technique [0002] With the rapid development of digital imaging technology, digital imaging equipment has been more and more widely used in various fields because of its incomparable advantages of traditional imaging equipment. However, in some special application scenarios, digital imaging equipment still cannot meet people's needs. For example, when acquiring digital panoramic images with a large field of view, due to the physical limitation of the narrow field of view width of the imaging equipment itself, imaging equipment alone cannot achieve The purpose of the panorama, in this case, needs to rely on image stitching technology to achieve. [0003] For the two image frames that need to be spliced, if the two images are continuously shot by the imaging device at a certain angle, or a pair of synchronous frame pa...

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Problems solved by technology

[0006] However, in general, image stitching is not just about stitching a pair of synchronized frame pairs. Usually, two imaging devices are continuously shot from different angles to obtain a series of synchronized frame pairs, and then multiple pairs of synchronized frame pairs are stitched together. For example, splicing image frames acquired by two imaging devices in a video conference during a period of time. In the process of realizing the present invention, the inventor found that in the prior art, homography is obtained based on matching feature points on a pair of synchronous frame pairs. After the matrix, the matrix is ​​directly applied to the image stitching of other synchronous frame pairs. Obviously, these matching feature points are not enough to represent the matching feature points on other synchronous frame pairs, and the reliability is low. Then the reliability of the obtained homography matrix Also low and not precise enough

For example, if the selected pair of synchronous frame pairs has signal interference during acquisition, causing picture distortion or abnormal changes, the resulting homography matrix is ​​wrong, and it can be directly applied to splicing other synchronous frame pairs. causing image stitching errors

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