Method for fusing night-viewing twilight image and infrared image

A technology of infrared images and low-light images, applied in the field of image processing, can solve the problems that do not involve image enhancement target segmentation and fusion real-time fusion systems.

Inactive Publication Date: 2012-07-04
ZHEJIANG SCI-TECH UNIV
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AI Technical Summary

Problems solved by technology

[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

Method used

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  • Method for fusing night-viewing twilight image and infrared image
  • Method for fusing night-viewing twilight image and infrared image
  • Method for fusing night-viewing twilight image and infrared image

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Embodiment Construction

[0038] A night vision low-light image and infrared image fusion method, which is a complete night vision micro-vision that uses the neural dynamics theory of the vision model for image enhancement and image fusion, image segmentation using the region growing method, and three-channel information conversion display Fusion method of light image and infrared image.

[0039] Such as figure 1 As shown, the method includes image enhancement, segmentation, fusion and color mapping, and specifically includes the following steps:

[0040] Step (1) Use the antagonistic characteristic model to separately enhance the night vision low-light image and the infrared image

[0041] The difference Gaussian function is used to simulate the antagonistic characteristics of concentric circles in the retina of the human eye. The Center Surround Shunting Network (CSSN) antagonism system used for image processing has the dynamic equation

[0042] dE i , j dt = AE i , j + ...

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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 asaturation 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 combining an antagonistic visual characteristic model and an area growth method. Background technique [0002] Multi-sensor-based night vision image fusion technology can make full use of the characteristics of existing imaging sensors, through information processing and video processing technology, more comprehensive acquisition of target information, has important application value in security, assisted driving and other fields. [0003] Night vision image fusion can enhance scene understanding, highlight targets, and help detect targets faster and more accurately under hidden, camouflaged and confused backgrounds. Displaying the fused image as a simple, natural form suitable for human eye observation can significantly improve the recognition performance of the human eye and reduce operator fatigue. The fusion met...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00G06T5/50
Inventor 金学波张巧玲鲍佳杜晶晶张水英包晓敏严国红
Owner ZHEJIANG SCI-TECH UNIV
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