| The high-frequency details of visible light images are rich and can reflect the overall details of the shooting scene.However,in the case of poor lighting conditions,the image quality is reduced,and the target to be detected in the image and the environmental background become blurred.The principle of infrared imaging is mainly The shape and outline of the object is displayed by the thermal radiation intensity of the object,which has good adaptability to weather and illumination,especially for hidden heat source targets,such as camouflaged enemies,weapons and other military targets,but has good detection performance,but infrared Imaging has problems such as blurred image details,insufficient texture,less high-frequency information of the scene,poor contrast,and low definition.In order to take into account the respective advantages of the visible light image and the infrared image,the visible light image and the infrared image are fused in the application scene to obtain a comprehensive and accurate image description of the shooting scene,so that the information can be fully utilized,and at the same time,the system analysis and decision-making can be improved.Accuracy and reliability.Image registration technology is an important prerequisite for image fusion,and its registration accuracy directly affects the final quality of image fusion.Aiming at the problems of insufficient sign points in the existing infrared and visible light image registration technology,long algorithm running time,high complexity,and reduced image quality after fusion in the fusion technology,the main research contents of this thesis are as follows:(1)The infrared and visible light The ORB feature point matching results obtained from the image Canny edge image are combined with the ORB feature point matching results of the original image,and the database for affine transformation matrix calculation is added.(2)Using Feature-Level method,The grayscale histogram distribution characteristics of the image are selected from three adaptive threshold methods: the triangle method,the Gaussian method,and the Otsu method to be binarized.After the binarization,the image is obtained as a mask image,which is determined according to the mask image.target fusion area;the infrared image is fused with the visible light image based on the target fusion area to obtain a fusion image.Among them,through the determination of the target fusion area,the part of the effective information contained in the infrared image can be extracted,and the extracted effective information can be fused with the visible light image,which can effectively avoid the image quality after the fusion containing useless information.Invalid information in the image,reduce the amount of calculation and complexity,and improve the real-time performance of the system;(3)Compare the luminance channel(I)gradient information of the infrared image with the chromaticity(H)and saturation(S)of the visible light image.Fusion makes the calculation process simple,and the obtained fused image is exactly the same as the result of all three channels fused by the same method. |
