Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Image fusion method based on dynamic object detection

An image fusion and dynamic target technology, applied in image enhancement, image analysis, image data processing, etc., can solve the problems of unfavorable moving target observation, lack of infrared target indication characteristics, etc., and achieve clear infrared target indication characteristics and rich information Effect

Active Publication Date: 2010-03-17
NANJING UNIV OF SCI & TECH
View PDF0 Cites 34 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, these methods do not have distinct infrared target indication characteristics, which are not conducive to the observation of moving targets.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Image fusion method based on dynamic object detection
  • Image fusion method based on dynamic object detection
  • Image fusion method based on dynamic object detection

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0033] combine figure 1 , the image fusion method based on dynamic target detection of the present invention comprises the following steps:

[0034] Step 1, using an infrared camera to collect images;

[0035] Step 2. Compare the collected infrared image with the ideal image to detect whether there is a moving target in the infrared field of view; if there is a moving target, perform step 3, otherwise return to step 1; combine figure 2 , the steps to detect whether there is a moving target in the infrared field of view are as follows:

[0036] First, the ideal image Make an estimate:

[0037] I n ^ ( x , y ) = K I n - 1 ^ ( x , y ) ...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses an image fusion method based on dynamic target detection, belonging to the technical field of image processing. The method comprises the following steps: detecting and extracting a moving object in an infrared image sequence; carrying out quick rectification on a low-light image by using the infrared image as a reference; then fusing infrared images and the low-light image;and finally, carrying out secondary fusion on the extracted object and the fusion image. Proved by experimental results, the fusion image obtained in the invention not only has the characteristic ofabundant information of an ordinary fusion method, but also has vivid infrared object indication characteristics. In addition, the invention can also provide coordinate information of the infrared object, which provides a probability for accurately positioning the object, and has wide application prospect in military and civil fields such as night investigation, security monitoring, and the like.

Description

technical field [0001] The invention relates to a method in the technical field of image fusion processing, in particular to a low-light and infrared image fusion method based on dynamic target detection. Background technique [0002] Single-spectral imaging systems usually only provide part of the spectral information of the target, while multi-detector systems working in different spectral segments use the complementarity and redundancy of data from different detectors to obtain information from their independent measurement spaces. Multispectral fusion imaging is to use data fusion technology to synthesize information from different sources to overcome the defects of single detectors. For example, infrared detectors have the ability to identify camouflage, and can detect people, vehicles, and artillery hidden in woods and grass, but they are not sensitive to changes in the brightness of the scene, and the imaging resolution is low, which is not conducive to human interpre...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06T5/50G06T7/20
Inventor 张俊举常本康钱芸生田思韩亦勇袁轶慧唐善军
Owner NANJING UNIV OF SCI & TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products