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

Diffeomorphism demons image registration method and system based on mode transformation

A modal conversion and image registration technology, applied in the field of image processing, can solve problems such as single function and insufficient processing capacity

Active Publication Date: 2013-08-07
SHENZHEN INST OF ADVANCED TECH
View PDF3 Cites 10 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] Based on this, it is necessary to address the problems of single function and insufficient processing capacity of the existing image registration methods, and provide a modality conversion-based Image registration method for diffeomorphism demons

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
  • Diffeomorphism demons image registration method and system based on mode transformation
  • Diffeomorphism demons image registration method and system based on mode transformation
  • Diffeomorphism demons image registration method and system based on mode transformation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0075] A method for image registration of diffeomorphic demons based on modality transformation, such as figure 1 shown, including the following steps:

[0076] Step S110: Perform affine transformation on the reference image and the floating image to generate an initial space transformation.

[0077] Affine transformation is a linear transformation that maintains the "straightness" and "parallelism" of two-dimensional graphics. "Sex" means that the relative positional relationship between two-dimensional graphics remains unchanged, whether parallel lines are parallel lines, the position order of points on the straight line remains unchanged. Affine transformations can be implemented by compositing a series of atomic transformations, including: translation, scaling, flipping, rotation, and skew.

[0078] Step S140: Perform modality conversion on the affine-transformed reference image and the affine-transformed floating image.

[0079] Specifically, such as figure 2 As show...

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 relates to a diffeomorphism demons image registration method and a diffeomorphism demons image registration system based on mode transformation. Firstly, affine transformation is performed on a reference image and a floating image, and then the mode transformation is performed on the reference image and the floating image; pixel gray value data in the images after the mode transformation is read, a deformation vector is obtained, space transformation is obtained through the deformation vector, and the deformation vector is updated to the space transformation; and after updating times reach first preset times and when mode transformation times reach second preset times, initial space transformation is used for the transformation of the floating image. According to the image registration method and the image registration system, advantages of two image registration methods of a mode transformation demons algorithm and a diffeomorphism demons algorithm in an image registration aspect are integrated, the initial space transformation passes through multiple iterations, so as to obtain relatively better initial space transformation, and when the relatively better initial space transformation is applied to the transformation of the floating image, image registration can be realized better. The method and the system are suitable for single-mode and multi-mode image registration and can be used for processing large or small deformation registration.

Description

technical field [0001] The invention relates to the field of image processing, in particular to a method and system for image registration of diffeomorphism demons based on modality conversion. Background technique [0002] Image registration is the process of matching and superimposing two or more images acquired at different times, different sensors (imaging devices) or under different conditions (weather, illuminance, camera position and angle, etc.), and it has been widely used In remote sensing data analysis, computer vision, image processing and other fields. Simply put, image registration is the process of optimizing the spatial transformation or mapping that maximizes the similarity between two images. [0003] Image registration can be divided into two categories: single-modal registration and multi-modal registration. The images in single-modal registration come from the same imaging device, while the images in multi-modal registration come from different imaging ...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T3/00
Inventor 谢小辉汤超杜如虚
Owner SHENZHEN INST OF ADVANCED 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