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

Non-rigid image registration algorithm based on implicit shape representation and edge information fusion

An edge information, image registration technology, applied in image enhancement, image analysis, image data processing and other directions, can solve the problems of registration robustness, image mismatch, local maximum interference, etc., to improve registration accuracy The effect of degree and robustness

Inactive Publication Date: 2009-12-23
ZHEJIANG UNIV
View PDF0 Cites 14 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The problem of image registration based on mutual information is mainly manifested in the robustness of registration, that is, there are a large number of local maximum interferences in the process of searching for the optimal transformation, making the registration process easy to fall into the local maximum image mismatch

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
  • Non-rigid image registration algorithm based on implicit shape representation and edge information fusion
  • Non-rigid image registration algorithm based on implicit shape representation and edge information fusion
  • Non-rigid image registration algorithm based on implicit shape representation and edge information fusion

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0012] Below, the present invention will be further described in conjunction with the drawings and specific embodiments.

[0013] This algorithm proposes a non-rigid body image registration based on implicit shape representation and edge information fusion, which includes global registration based on implicit shape representation, B-spline based multi-resolution mesh free deformation local of edge information fusion Registration. The main purpose of global registration is to align the outer contour of the image. First, align the shape center of the floating image g and the outer contour of the reference image f (hereinafter referred to as "centroid") through translation transformation, so that the translation parameter of the global similarity transformation is very small or 0, and then calculate the two images after the centroid alignment Using the similarity transformation, mutual information measurement, and gradient descent methods to register the distance map to obtain 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 discloses a non-rigid image registration algorithm based on implicit shape representation and edge information fusion. The method comprises the following steps: firstly, the external contours of a floating image and a reference image to be registered are aligned to realize the global registration based on implicit shape; secondly, a free-form deformation model of multi-resolution mesh of B spline based on edge information fusion is selected, and local registration is performed. The algorithm has the advantages that by introducing the measuring to edge registration in a registration framework, the important contribution of edge information in image registration is fully utilized, the registration accuracy and robustness are improved and smooth and continuous transform domains ensuring one-to-one mapping are obtained.

Description

technical field [0001] This algorithm is a medical image registration method that uses a global-to-local hierarchical transformation model to cover the entire transformation domain, especially to solve the problem of image registration with large local deformation. Background technique [0002] Image registration is the premise of image fusion. It is recognized as a difficult image processing technology, and it is also a key technology that determines the development of medical image fusion technology. Since the late 1980s, the research on medical image registration has been paid more and more attention by the medical and engineering circles, and has been widely carried out in the world. All kinds of literature reports are vast, and new methods emerge in endlessly. The existing relatively mature image registration methods are still mainly applied to rigid bodies or quasi-rigid bodies, while the research on non-rigid bodies is still relatively weak. Due to the complexity an...

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): G06T7/00G06T5/00
Inventor 于慧敏廖秀秀金伟
Owner ZHEJIANG UNIV
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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com