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

Image registration system and method thereof

An image registration and image technology, applied in the field of image recognition, can solve the problems of noise sensitivity and easy corner drift.

Inactive Publication Date: 2011-04-06
江苏博悦物联网技术有限公司
View PDF4 Cites 49 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The biggest disadvantage of the corner feature is that it is sensitive to noise. With the difference of image resolution, the corner is prone to drift, and the Harris corner detection operator is not scale-invariant.

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
  • Image registration system and method thereof
  • Image registration system and method thereof
  • Image registration system and method thereof

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0044] Reference herein to "one embodiment" or "an embodiment" refers to a particular feature, structure or characteristic that can be included in at least one implementation of the present invention. "In one embodiment" appearing in different places in this specification does not all refer to the same embodiment, nor is it a separate or selective embodiment that is mutually exclusive with other embodiments.

[0045] Image registration is to align two or more images of the same scene in space. The present invention proposes an image registration method based on SIFT transform (full name is Scale Invariant Feature Transformation, that is, scale invariant feature transformation) . The image registration method of the present invention will be described below by taking the registration of two images (the standard image as a reference image, and the currently acquired image as a real-time image) as an example.

[0046] see figure 1 Shown, the image registration method of the pre...

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 an image registration system and a method thereof. The method comprises the following steps of: firstly calculating scale invariant feature transform (SIFT transform) of a real-time image and a reference image to obtain feature points of the real-time image and the reference image; selecting a plurality of pairs of feature points with maximum similarity from the feature points of the real-time image and the reference image; carrying out matching verification of the plurality of pairs of feature points with maximum similarity selected from the feature points of the real-time image and the reference image and rejecting a mismatching point pair therein to obtain a plurality of pairs of feature points which are verified; according to the plurality of pairs of feature points which are verified, determining the parameter of an affine transformation function of the real-time image relative to the reference image; and carrying out radioactive transform of the real-time image according to the affine transformation parameter to obtain the registered image. The system and the method are difficult to influence and high in registration accuracy.

Description

【Technical field】 [0001] The invention relates to the field of image recognition, in particular to an image registration system and method for spatially aligning two or more images of the same scene. 【Background technique】 [0002] Image registration is to spatially align two or more images of the same scene. It is widely used in many image analysis fields, such as medicine, remote sensing image analysis, image fusion, image retrieval, target recognition, etc. [0003] Currently the most commonly used method is feature-based image registration. In order to register two images (the standard image becomes the reference image, and the currently acquired image becomes the real-time image), it is necessary to extract features from the images and establish a corresponding relationship between these features, and then obtain the real-time The transformation relationship between the graph and the reference graph, and finally the real-time graph is sampled and transformed into the ...

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): G06T7/00
Inventor 王磊
Owner 江苏博悦物联网技术有限公司
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