Bidirectional iteration optimization based image integrating method

An image fusion and bidirectional iterative technology, applied in image enhancement, image analysis, image data processing, etc., can solve the problem of small application range of wavelet transform fusion algorithm, and achieve the effect of improved information content, clear edge, and less fusion time.

Active Publication Date: 2016-07-27
BEIHANG UNIV
View PDF2 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the wavelet transform fusion algorithm has great restrictions on the selection of the window size of the tr...

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
  • Bidirectional iteration optimization based image integrating method
  • Bidirectional iteration optimization based image integrating method
  • Bidirectional iteration optimization based image integrating method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0043] In order to better understand the technical solution of the present invention, the present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0044] A kind of image fusion method based on two-way iterative optimization of the present invention, such as figure 1 As shown, the method mainly includes the following steps:

[0045] 1. Input the acquired visible light and infrared images, computed tomography medical images (ie CT medical images) and magnetic resonance medical images (ie MRI medical images) into the computer.

[0046] 2. Process visible light and infrared images, CT medical images and MRI medical images to calculate the correlation matrix and distance matrix between the source images, and set the iteration step size.

[0047] 3. According to the image fusion judgment standard, the iteration constraints are obtained.

[0048] 4. Use the variables and constraints obtained in step 2 and step 3 t...

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 provides a bidirectional iteration optimization based image integrating method, comprising the following steps: firstly, inputting already captured visible light and infrared images, computed tomoscaning medical science images and magnetic resonance medical science images into a computer; secondly, processing the visible light and infrared images, the computed tomoscaning medical science images and the magnetic resonance medical science images to calculate correlation matrixes and distance matrixes among the original images and to further set iteration step lengths; thirdly, seeking constrained conditions for iteration based on the image integration determining standards; obtaining an optimized objective function through the variables from the second step and the third step as well as the constrained conditions to realize images after the integration process; With the adoption of the above steps, the bidirectional iteration optimization based image integrating method is capable of achieving good visual effects on the integration of both visible light and infrared images and medical images. Further, with the method, more image information can be maintained in the process of integration; practical problems are properly handled; therefore, the method promises wide use in the market.

Description

technical field [0001] The invention provides an image fusion method based on bidirectional iterative optimization, in particular relates to a digital image processing technology for fusion of visible light and infrared images and medical images, and belongs to the technical field of digital image processing. Background technique [0002] With the development of sensor technology, a single visible light mode has gradually developed into multiple sensor modes. A single image sensor is often not able to extract enough information from a scene, so that it is difficult or even impossible to obtain a comprehensive description of a scene independently. This requires the study of multi-source image fusion. Image fusion can collaboratively utilize multiple sensor image information of the same scene to output a fused image that is more suitable for human visual perception or computer further processing and analysis. It can significantly improve the shortcomings of a single sensor, ...

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): G06T5/50
CPCG06T5/50G06T2207/10048G06T2207/10081G06T2207/10088G06T2207/20221G06T2207/30004
Inventor 罗晓燕白椿山
Owner BEIHANG 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