Method for fusing night-viewing twilight image and infrared image

Abstract

The invention relates to a method for fusing a night-viewing twilight image and an infrared image. The method comprises the following steps of: enhancing the infrared and twilight images by adopting a center-periphery opponent network in an antagonistic characteristic model, segmenting the enhanced infrared image by using an area growing method, and obtaining target images according to the brightness of each segmented area; adding two fusing operations at a fusing stage, namely fusing the target image information to an enhanced twilight background by using a selection operation to form input of a brightness channel, and fusing the infrared image obtained by adopting the area growing method and the enhanced twilight image by adopting the antagonistic characteristic model to form input of a saturation channel; and meanwhile, directly sending the enhanced twilight image to a toning channel to perform toning as the background of a colored fused image, and finally performing colored remapping and display. The images obtained by the method have good target indicating characteristics and colors more suitable for the observation of human eyes, and are favorable for improving the perception of monitoring personnel on a target scene.

Description

technical field [0001] The invention belongs to the technical field of image processing, and relates to a night vision low-light image and infrared image fusion method combined with an antagonistic visual characteristic model and a region growing method. Background technique [0002] The night vision image fusion technology based on multi-sensor can make full use of the characteristics of existing imaging sensors, and obtain target information more comprehensively through information processing and video processing technology, which has important application value in the fields of security and assisted driving. [0003] Night vision image fusion enhances scene understanding, highlights objects, and facilitates faster and more accurate detection of objects against hidden, camouflaged, and disorienting backgrounds. Displaying the fused image in a simple and natural form suitable for human observation can significantly improve the recognition performance of the human eye and re...

AI Technical Summary

Problems solved by technology

However, this method does not involve image enhancement and target segmentation, and cannot meet real-time performance and cannot be applied to night vision low-light images.

[0006] In the fusion of night vision low-light images and infrared images, there is no real-time fusion system involving complete image enhancement, target segmentation, fusion and display

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