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

Image matching method based on bidirectional optimal matching point pair

A technology of optimal matching and matching method, which is applied in the field of image processing, can solve the problems of large similarity in local areas and cannot solve the problem of image matching, and achieve the effect of reducing the number of wrong matching points and reducing computational complexity

Pending Publication Date: 2021-02-12
NANJING XUANNING INFORMATION TECH CO LTD
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In addition, for fingerprint images, the similarity of the local area is relatively large, and the next closest distance is often close to the correct matching point pair. The selection of the threshold cannot solve the matching problem of this type of image.

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 matching method based on bidirectional optimal matching point pair

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0041] Below in conjunction with accompanying drawing and specific embodiment the present invention is described in further detail:

[0042] The present invention provides an image matching method based on bidirectional optimal matching point pairs, and proposes the concept of bidirectional optimal matching point pairs in the feature matching stage, so that the number of wrong matching point pairs contained in the reserved matching point pairs is as small as possible, The number of correct matching point pairs is as many as possible, so as to reduce the computational complexity of eliminating wrong matching point pairs, and quickly calculate the stable transformation relationship between the two images.

[0043] As an embodiment of the invention, the present invention provides such as figure 1 Shown is an image matching method based on bidirectional optimal matching point pairs, the specific steps are as follows:

[0044] Step S1, use the exhaustive method to carry out two-wa...

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 an image matching method based on bidirectional optimal matching point pairs, and the method comprises the following steps: S1, carrying out the bidirectional matching throughemploying an exhaustion method, obtaining the optimal matching points of feature points in an original image in a target image and the optimal matching points of the feature points in the target imagein the original image, and forming two optimal matching point pair sets; s2, calculating a bidirectional optimal matching point pair set according to the two optimal matching point pair sets; s3, removing wrong matching points in the bidirectional optimal matching point pair set; s4, calculating a transformation relation between the two images according to the reserved bidirectional optimal matching point pairs; s5, selecting matching point pairs meeting the transformation relation from the two groups of optimal matching point pair sets obtained in the step S1; and S6, obtaining an acceptablecorrect matching point pair between the two images. According to the invention, enough correct matching point pairs can be reserved on the premise that only a small number of wrong matching point pairs are introduced, the calculated amount when the wrong matching point pairs are removed is greatly reduced, and the accurate and stable transformation relation between the two images is calculated.

Description

technical field [0001] The invention belongs to the technical field of image processing, in particular to an image matching method based on bidirectional optimal matching point pairs. Background technique [0002] The general process of image matching based on feature points is: extract the features of the image, generate feature description subsets, find out several pairs of feature points that match each other through pairwise comparison of two image features (feature points + description subsets), and eliminate errors Match point pairs, and calculate the transformation relationship between the two images according to the reserved matching point pairs. [0003] When correcting matching point pairs, the RANSAC algorithm is often used to eliminate wrong matching point pairs. The random sample consensus (RANSAC) algorithm can estimate the parameters of the mathematical model from the observed data containing abnormal data, eliminate invalid samples, and retain valid samples....

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): G06K9/46G06K9/62
CPCG06V10/443G06V10/751
Inventor 陈卫征司轩斌
Owner NANJING XUANNING INFORMATION TECH CO LTD
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