Image splicing method based on cable-stayed bridge cable

Abstract

The invention relates to an image splicing method based on a cable-stayed bridge cable. The method comprises the following steps: (1) obtaining a proportional relationship between an image distance and an object distance of each of cameras in a cable-stayed bridge cable surface detection device; (2) collecting an image with a laser point by using each camera, detecting the position of the laser point in the image, calculating an image center point position, and obtaining a distance from an actual camera visual center to the laser point according to the proportional relationship between the image distance and the object distance; (3) employing the following formula to calculate the actual radius of the cable-stayed bridge cable; (4) obtaining the respectively calculated radii of the cable-stayed bridge cable by fives cameras, and obtaining the best radius by using a minimum variance algorithm formula; (5) using an interpolation algorithm to carry out grey filling, then projecting a plane image to a cylindrical surface to obtain a stereo image corresponding to the plane image; (6) carrying out image splicing according to the laser points on the image to obtain a cable-stayed bridge cable stereo image. Compared with the prior art, the method has the advantages of high image splicing accuracy and small algorithm complexity.

Description

technical field [0001] The invention relates to the field of image processing, in particular to an image splicing method based on cables of a cable-stayed bridge. Background technique [0002] Image stitching technology refers to the technology of stitching some images with overlapping parts (generally, images with overlapping parts acquired by the same sensor at different times or different angles of view, or different sensors) using some methods to stitch them into an image that meets the requirements. . [0003] Image stitching technology is generally used in the field of image acquisition and processing with large viewing angles. Due to the large angle of view of the image, it cannot be shot by one image, but can only be divided into time periods, or it can be spliced ​​after being shot with different sensors. [0004] Due to different application platforms, there are many image stitching methods for different problems. The basic methods can be roughly divided into thr...

AI Technical Summary

Problems solved by technology

[0005] For some images without obvious features, that is, the image itself cannot provide some signs for splicing, and the overlapping parts cannot be extracted. Such images cannot use the grayscale method and feature value extraction method in image splicing.

[0006] Even for images that can use feature extraction, the amount of calculation required to extract features is generally relatively large, and the system that requires timely processing of a large number of images is less practical

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