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

a solar image registration method based on normalized cross-correlation and SIFT

An image registration and cross-correlation matching technology, applied in the fields of astronomy and image processing, to achieve the effects of high accuracy, reduced time overhead, and improved algorithm efficiency

Inactive Publication Date: 2019-05-21
KUNMING UNIV OF SCI & TECH
View PDF5 Cites 14 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The technical problem to be solved by the present invention is: to provide a solar image registration method based on normalized cross-correlation and SIFT, which is used to solve the problem of the full-helioscopic solar observation images taken by space-based telescopes and the local high-resolution images of the sun taken by ground-based telescopes. Ratio observation image registration problem

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
  • a solar image registration method based on normalized cross-correlation and SIFT
  • a solar image registration method based on normalized cross-correlation and SIFT
  • a solar image registration method based on normalized cross-correlation and SIFT

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0065] Embodiment 1: as Figure 1-10 As shown, in order to prove the universality of this method, four different images are selected for comparison and description in this embodiment.

[0066] A solar image registration method based on normalized cross-correlation and SIFT, comprising the steps of:

[0067] Step 1: Input two solar observation images, one of which is a full-helioscopic observation image from SDO (such as figure 2 shown) as a reference image I 1 , and the other is a local high-resolution observation image of the Sun from NVST (such as image 3 shown), as a floating image I 2 , to preprocess the two images respectively, first down-sampling the two images, the SDO full-day image is reduced by 0.5 times, and the NVST local high-resolution image is reduced by 0.1 times. Using the Rayleigh distribution, the enhancement factor is 0.2 for the two images I 1 , I 2 Performs limited contrast histogram equalization enhancement.

[0068] Step 2: Use the normalized c...

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 solar image registration method based on normalization cross-correlation and SIFT, and belongs to the field of astronomical technology and image processing. The method comprises the following steps: firstly, carrying out downsampling preprocessing on a group of full-solar observation images from a space-based (SDO) and a group of solar local high-resolution observation images from a ground telescope (NVST) respectively; secondly, using a normalization cross-correlation matching algorithm to solve the problem that the view fields of the to-be-registered area are inconsistent; calculating the optimal matching position of the full-day image and the local high-resolution image, and using the position to intercept a sub-image to serve as a to-be-registered reference image; Performing feature detection on the to-be-registered image by adopting a feature detection operator (SIFT) based on scale invariance to obtain a feature point set; Using an MLESAC algorithm to eliminate mismatching feature point pairs; And finally, solving transformation parameters among the images by using a least square method to obtain a registration result. According to the invention, rapid, automatic and high-precision registration of solar images of different observation sources is realized.

Description

technical field [0001] The invention relates to a solar image registration method based on normalized cross-correlation and SIFT, belonging to the fields of astronomical technology and image processing. Background technique [0002] Solar observation is an important research content of solar physics research. It mainly develops various solar telescopes to observe various physical phenomena and processes occurring on the sun, and analyzes and extracts observation data to obtain research results. Solar observation telescopes are divided into two categories: ground-based solar telescopes and space-based solar telescopes. my country has built and put into use the Huairou Ground-based Telescope in Beijing, and the 1-meter New Vacuum Infrared Solar Telescope (NVST) in Fuxian Lake, Yunnan Astronomical Observatory. The above is a ground-based optical telescope, which can only receive solar radiation greater than 290nm, and the observation data of other bands are absorbed by the atm...

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): G06T7/33G06T5/40G06T3/00
Inventor 邓辉唐剑柳翠寅王锋
Owner KUNMING UNIV OF SCI & 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

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