Image registration method and image registration device

Abstract

The invention discloses an image registration method and an image registration device. The image registration method includes acquiring a second group of feature points of thermal imaging images; subjecting the second group of feature points to registering change to acquire a third group of feature points, wherein the registering change is based on registration parameters acquired in advance, an image acquiring device of visible images, under each focal length, has a registration parameter corresponding to the focal length, and the corresponding registration parameter under each focal length is determined according to the linear relation between the registration parameters and the focal lengths; determining a fourth group of feature points, same as feature points of the visible images in position, in the third group of the feature points; after determining the registration parameters according to the fourth group of feature points, registering the visible images and the thermal imagingimages according to the registration parameters. By the image registration method and the image registration device, real-time registration of the invisible images and the thermal imaging images canbe realized during focal length change of a visible light camera, and the visible images and thermal-imaging blended images can be output in real time.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to an image registration method and device. Background technique [0002] Image registration (Image Registration) technology is the process of spatially aligning images taken in the same region at different angles of view, at different times, with different sensors or under different lighting conditions. This technology is extremely critical in the process of heterogeneous spatial data acquisition and integration. Finding the best geometric transformation parameters is the ultimate goal of image registration. Visible light sensor has always been one of the important sensors in the field of remote sensing because of its very high image resolution and the image obtained is consistent with the human visual effect. However, visible light images are greatly affected by weather conditions such as cloud cover conditions and imaging time. Compared with visible light senso...

AI Technical Summary

Problems solved by technology

[0025] 1. Extracting SIFT feature points has a large amount of calculation, which is difficult to meet the real-time requirements

[0026] 2. Since the texture of thermal imaging is not rich, and because the temperature information of the object reflected by thermal imaging is not in one-to-one correspondence with the feature points on the visible light image, the SIFT feature points extracted on the thermal imaging and visible light images are paired Sparse

Sparse feature points increase the difficulty of subsequent matching and reduce the matching accuracy, so the result of selecting SIFT feature points for registration is not ideal

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