High-performance infrared-visible fusion detection method

Abstract

The invention discloses a high-performance infrared-visible fusion detection method, which comprises the steps of: image preprocessing, which is implemented by carrying out histogram equalization on an infrared image, widening a grayscale level with a large number of pixels in the image, and reducing a grayscale level with a small number of pixels to obtain a clear image; image registration, whichis implemented by detecting edges of the infrared image and a visible light image by means of a Canny operator, then constructing an image scale pyramid to extract a Fast feature point, and performing image registration; image fusion, which is implemented by performing image fusion of infrared and visible light on the images by adopting a fusion algorithm to obtain a grayscale fusion image; and color mapping, which is implemented by adding components of a visible light color image to the grayscale fusion image to obtain a color fusion image. The high-performance infrared-visible fusion detection method can ensure the precision of image fusion while removing noise, maintains the advantages of the infrared image and the visible light image, and ensures image definition.

Description

technical field [0001] The invention relates to the technical field of detection, in particular to a high-performance infrared-visible light fusion detection method. Background technique [0002] Infrared and visible light image fusion technology integrates the information provided by infrared and visible light, eliminates the possible redundancy and contradiction between infrared and visible light image information, complements each other, reduces its uncertainty, reduces blur, and enhances image quality. Information transparency improves the accuracy, reliability and utilization of information to form a complete and consistent information description of the target. The goal of image fusion is to synthesize multiple image information from the same scene. This is due to the low resolution of a single infrared image, but it can be used regardless of daytime. Although the image resolution of a single visible light image is high, the imaging effect at night is poor, and the ima...

AI Technical Summary

Problems solved by technology

This is due to the low resolution of a single infrared image, but it can be used no matter in the daytime. Although the image resolution of a single visible light image is high, the imaging effect at night is poor, and the image information is blurred. Image fusion combines the advantages of the two, so that Users get better quality images and user experience

[0003] However, under the existing technical conditions, due to the existence of noise and other factors, the fusion accuracy of infrared images and visible light images cannot be guaranteed

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