Infrared image and visible image registration method based on visual attention

An infrared image and image registration technology, applied in the field of image processing, can solve the problems of small correlation between infrared and visible light images, difficult registration, and large difference in image grayscale characteristics.

Active Publication Date: 2014-04-09
XIDIAN UNIV
View PDF2 Cites 34 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, since the infrared reflects the radiation information of the scene, and the visible light reflects the reflection information of the scene, the imaging conditions and scenes of the two have certain complexity, so the correlation between the infrared and visible light images is small, and the grayscale characteristics of the images are very different. Lack of consistent features, making registration difficult
[0006] In order to solve the registration problem between infrared images and visible light images, many effective algorithms have been produced in various fields according to their own needs. There are many studies on the registration of infrared ...

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
  • Infrared image and visible image registration method based on visual attention
  • Infrared image and visible image registration method based on visual attention
  • Infrared image and visible image registration method based on visual attention

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0076] The visual attention mechanism is a mechanism that directs human gaze to objects of interest in a scene. The visual information that usually enters people's field of vision is massive, but from these massive information, people can still search for the information they want. Visual attention refers to the fact that objects that are completely different from the surrounding environment will automatically "jump out" from the visual environment and attract attention.

[0077] The method of the present invention includes two parts: feature detection and feature matching. Feature detection is based on the visual attention mechanism model to simulate the human eye to pay attention to the "region of interest" to obtain the visually significant area of ​​the image. The feature matching uses the invariant moment of Hu moment to calculate the visually significant area Coarse matching, accurate registration of images through de-mean normalized cross-correlation and RANSAC algorith...

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 infrared image and visible image registration method based on a visual attention mechanism. The infrared image and visible image registration method based on the visual attention mechanism comprises the following steps of inputting an original infrared image and an original visible image, and obtaining a visual salience region of the infrared image and a visual salience region of the visible image through a visual attention mechanism model; carrying out rough matching on the visual salience region of the infrared image and the visual salience region of the visible image through invariant moment calculation of the Hu moment; searching for the center of mass in the visual salience region of the infrared image and the center of mass in the visual salience region of the visible image after rough matching is accomplished, using the centers of mass as visual salience points, and using the visual salience points to represent the visual salience regions; carrying out fine matching on the visual salience points on the basis of the de-mean normalization cross-correlation principle; purifying accurately-matched images through an RANSAC algorithm, calculating a registration estimation function, carrying out image transformation through the registration estimation function to achieve registration and output of the images. According to the infrared image and visible image registration method based on the visual attention mechanism, due to the fact that the visual attention mechanism of human eyes is simulated, serves as an image characteristic detection method, and is used for extracting stable characteristics, after matching is carried out, registration between the infrared image and the visible image is accurately achieved.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to a registration method of infrared images and visible light images based on a visual attention mechanism. By simulating the "region of interest" of the image noticed by the human eye, the information of the "region of interest" is used to perform infrared image registration. Registration with visible light images. Background technique [0002] Image registration technology is the process of spatially aligning images taken in the same area at different angles of view, at different times, with different sensors or under different lighting conditions. The images obtained by shooting the same scene are a series of projections of the real three-dimensional world to the imaging plane at different times. There is a large correlation and information redundancy between images, so no matter what form the processed image takes Changes in the image, or what kind of senso...

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): G06T7/00
Inventor 王炳健刘志庭赖睿易翔于海涛杨松启秦翰林周慧鑫
Owner XIDIAN UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products