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Infra-red and visible light dynamic image interfusion method based on moving target detection

A technology of infrared images and moving targets, which is applied in image enhancement, image analysis, image data processing, etc., can solve the problems of sequence image motion information into consideration, poor fusion effect, etc., and achieve the effect of improving perception ability and high definition

Inactive Publication Date: 2006-10-25
SHANGHAI JIAOTONG UNIV
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Problems solved by technology

These traditional methods can only fuse infrared and visible light images frame by frame, and do not take into account the motion information of sequence images on the time axis during fusion, and the fusion effect is poor.

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  • Infra-red and visible light dynamic image interfusion method based on moving target detection
  • Infra-red and visible light dynamic image interfusion method based on moving target detection
  • Infra-red and visible light dynamic image interfusion method based on moving target detection

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Embodiment Construction

[0021] In order to better understand the technical solutions of the present invention, the implementation manners of the present invention will be further described below in conjunction with the accompanying drawings. The overall process of the infrared and visible light dynamic image fusion method based on moving target detection is as follows: figure 1 , the infrared image sequence to be fused in this embodiment is as follows image 3 , the visible light image sequence to be fused is as follows Figure 4 .

[0022] 1. Segment the current frame image

[0023] The image segmentation method based on region growing is used to segment the infrared image of the current frame. One of the keys to region growing is to select an appropriate gray similarity threshold. The gray similarity threshold is generally taken as the difference between the average brightness of the hot target area and the average brightness of the surrounding background. 0.3-0.6 times, the purpose is to make t...

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Abstract

An infrared and visible light dynamic image fusion method based on moving object detection. Firstly, the region growing method is used to segment the infrared image, and then the difference between the brightness of each segmented area and the background brightness is used to judge whether each segmented area belongs to quasi In the target area, the nearest neighbor association method is used to find out the real moving target from all detected quasi-target areas, and finally the image fusion method based on non-separable wavelet frame transformation is used to fuse the target information detected in the infrared sequence image into the visible light sequence in the image. The invention utilizes the spatial grayscale information of images formed by two imaging sensors and the motion information on the time axis of sequence images, and the fused sequence images not only have better target indication characteristics of infrared images, but also have higher clarity of visible light images. It is beneficial to improve the monitoring personnel's perception of the target situation. The invention can be widely used in the fields of target imaging, security monitoring and the like.

Description

technical field [0001] The invention relates to an infrared and visible light dynamic image fusion method based on moving target detection, which is an infrared and visible light sequence image information fusion method in the field of information fusion, and is widely used in target imaging, security monitoring and other systems. Background technique [0002] Image fusion technology is the fusion of visual information in multi-sensor information fusion. It uses different imaging methods of various imaging sensors to provide complementary information for different images, increase the amount of image information, reduce the amount of original image data, and improve adaptability to the environment. In order to obtain more reliable and accurate useful information for observation or further processing. It is an emerging technology that integrates sensors, signal processing, image processing and artificial intelligence. In recent years, image fusion has become a very important...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/50G06T7/00
Inventor 敬忠良李振华孙韶媛
Owner SHANGHAI JIAOTONG UNIV
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