Straight line-based different-source image coupling method

Abstract

The invention relates to the technical field of image processing and provides a straight line-based different-source image coupling method. The method includes the steps of extracting line characteristics of a reference image and line characteristics of a sensing image, and taking the line characteristics as elements of different-source image coupling; constructing a neighborhood relation betweenline end points and end points and a neighborhood relation between end points and lines, connecting the end points with the lines with the neighborhood relations, obtaining straight lines with betterstability, and constructing line sets accurately representing scene structures; constructing line pairs between the line sets of the reference image and the line sets of the sensing image, and calculating possible transformation parameters; and selecting transformation parameters that enable the sensing image and the reference image to have the highest similarity, and thus realizing coupling of the sensing image and the reference image. A phenomenon of double sides can be effectively prevented when road lines are extracted from an aviation image, the number of lines for coupling is greatly reduced, and the geometrical structure of a scene can be represented by as few lines as possible. The method is easy to realize, is fast in calculating speed and can realize quantitative analysis.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to a heterogeneous image matching method based on straight line segments. Background technique [0002] Scene matching technology has important applications in the field of autonomous navigation of UAVs. In order to realize the all-weather autonomous navigation of UAVs, a feasible technology is to use infrared cameras or SAR radars to image the ground, and then match the captured real-time images with the pre-prepared satellite reference images to obtain the UAV’s location and orientation information. [0003] Due to the difference in shooting time, angle and imaging sensor, the same-name points on the real-time image and the reference image do not have a simple and consistent functional relationship in gray value, so the matching method for homogeneous images is generally not suitable for heterogeneous images. The current typical heterogeneous image matching meth...

AI Technical Summary

Problems solved by technology

[0004] The region-based heterogeneous image matching method is widely used in the field of medical image processing, which has the advantages of high matching accuracy, but the time efficiency is low, and often only the translation parameters can be estimated, but the rotation parameters cannot be estimated.

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