Supercharge Your Innovation With Domain-Expert AI Agents!

An Image Registration Method Oriented to Conservative Affine Transformation

A technology of preservation affine and image registration, applied in the field of computer graphics and image processing

Inactive Publication Date: 2017-07-14
NAT SPACE SCI CENT CAS
View PDF1 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to overcome the limitations of the existing preservation-oriented affine transformation image registration method, thereby providing an accurate and effective image registration method

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
  • An Image Registration Method Oriented to Conservative Affine Transformation
  • An Image Registration Method Oriented to Conservative Affine Transformation
  • An Image Registration Method Oriented to Conservative Affine Transformation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0063] The present invention will be further described now in conjunction with accompanying drawing.

[0064] The image registration method oriented to the preservation affine transformation of the present invention converts the constrained optimization problem of the preservation affine estimation into an iterative optimization problem by using the Lagrangian multiplier method, and proposes a brand-new preservation-affine transformation-oriented method. The objective function, a strict parameter inversion formula is derived, and an efficient iterative estimation method is designed, so that the geometric registration of distorted image pairs is accurately and effectively realized.

[0065] When the image registration method oriented to conformal affine transformation of the present invention realizes geometric registration, it is necessary to extract and construct an image with a certain scale, a certain matching accuracy, a certain geometric positioning accuracy and a certain ...

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 an image registration method for area-preserving affine transformation. The method includes the steps of reading image pairs to be registered and with area-preserving affine geometric distortion, extracting from the read image pairs and building feature matching pairs, wherein a reference image of the image pairs serves as a main image and the image to be registered serves as an auxiliary image; inversing area-preserving affine distortion parameters of the image pairs through an iterative estimation method on the basis of the feature matching pairs, wherein the area-preserving affine distortion parameters comprise area-preserving affine matrix parameters a, b, c and d and offset tx and ty in the direction of the two images; performing interpolation processing on the auxiliary image through a area-preserving affine distortion function to geometrically register the auxiliary image with the main image.

Description

technical field [0001] The invention relates to the field of computer graphics and image processing, in particular to an image registration method oriented to preservation affine transformation. Background technique [0002] Affine transformation is the most commonly used six-degree-of-freedom rigid geometric transformation in the field of computer image processing. Different from the general four-degree-of-freedom similarity transformation, the affine transformation can transform a rectangular image block into an arbitrary parallelogram image block. This geometric distortion has wide applicability to optical images, remote sensing images, and medical images. Therefore, the image registration problem oriented to affine transformation and similarity transformation has received a lot of attention in the past period of time, and many mature algorithms have been proposed and have been widely used in different fields. [0003] Recently, with the in-depth development of machine v...

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 Patents(China)
IPC IPC(8): G06T7/33
Inventor 李东张云华
Owner NAT SPACE SCI CENT CAS
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2025 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com