SIFT-based image registration method, device and system and storage medium

The invention discloses an SIFT-based image registration method, device and system and a storage medium, and the method comprises the steps: obtaining a to-be-registered image and a reference image, carrying out the preprocessing of the to-be-registered image, and constructing a Gaussian difference...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
1. Verfasser: WU BINGYE
Format: Patent
Sprache:chi ; eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue
container_start_page
container_title
container_volume
creator WU BINGYE
description The invention discloses an SIFT-based image registration method, device and system and a storage medium, and the method comprises the steps: obtaining a to-be-registered image and a reference image, carrying out the preprocessing of the to-be-registered image, and constructing a Gaussian difference scale space; extreme points in different scale spaces in the Gaussian difference scale space are obtained, feature points are selected according to the extreme points, and feature descriptors are generated for the feature points; calculating a local information entropy of the feature point field, and determining a final feature descriptor of the feature point according to the local information entropy and the feature descriptor; and optimizing feature point matching according to a genetic algorithm, generating a matching point pair, and correcting the matching point pair to complete image registration of the to-be-registered image. According to the method, the number of feature points needing to be matched and the
format Patent
fullrecord <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_CN114862925A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>CN114862925A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_CN114862925A3</originalsourceid><addsrcrecordid>eNrjZPAK9nQL0U1KLE5NUcjMTUxPVShKTc8sLilKLMnMz1PITS3JyE_RUUhJLctMTlVIzEtRKK4sLknNhTBL8otAWnJTUzJLc3kYWNMSc4pTeaE0N4Oim2uIs4duakF-fGpxQWJyal5qSbyzn6GhiYWZkaWRqaMxMWoAxCU0ew</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>SIFT-based image registration method, device and system and storage medium</title><source>esp@cenet</source><creator>WU BINGYE</creator><creatorcontrib>WU BINGYE</creatorcontrib><description>The invention discloses an SIFT-based image registration method, device and system and a storage medium, and the method comprises the steps: obtaining a to-be-registered image and a reference image, carrying out the preprocessing of the to-be-registered image, and constructing a Gaussian difference scale space; extreme points in different scale spaces in the Gaussian difference scale space are obtained, feature points are selected according to the extreme points, and feature descriptors are generated for the feature points; calculating a local information entropy of the feature point field, and determining a final feature descriptor of the feature point according to the local information entropy and the feature descriptor; and optimizing feature point matching according to a genetic algorithm, generating a matching point pair, and correcting the matching point pair to complete image registration of the to-be-registered image. According to the method, the number of feature points needing to be matched and the</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL ; PHYSICS</subject><creationdate>2022</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20220805&amp;DB=EPODOC&amp;CC=CN&amp;NR=114862925A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25563,76418</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20220805&amp;DB=EPODOC&amp;CC=CN&amp;NR=114862925A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>WU BINGYE</creatorcontrib><title>SIFT-based image registration method, device and system and storage medium</title><description>The invention discloses an SIFT-based image registration method, device and system and a storage medium, and the method comprises the steps: obtaining a to-be-registered image and a reference image, carrying out the preprocessing of the to-be-registered image, and constructing a Gaussian difference scale space; extreme points in different scale spaces in the Gaussian difference scale space are obtained, feature points are selected according to the extreme points, and feature descriptors are generated for the feature points; calculating a local information entropy of the feature point field, and determining a final feature descriptor of the feature point according to the local information entropy and the feature descriptor; and optimizing feature point matching according to a genetic algorithm, generating a matching point pair, and correcting the matching point pair to complete image registration of the to-be-registered image. According to the method, the number of feature points needing to be matched and the</description><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</subject><subject>PHYSICS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2022</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZPAK9nQL0U1KLE5NUcjMTUxPVShKTc8sLilKLMnMz1PITS3JyE_RUUhJLctMTlVIzEtRKK4sLknNhTBL8otAWnJTUzJLc3kYWNMSc4pTeaE0N4Oim2uIs4duakF-fGpxQWJyal5qSbyzn6GhiYWZkaWRqaMxMWoAxCU0ew</recordid><startdate>20220805</startdate><enddate>20220805</enddate><creator>WU BINGYE</creator><scope>EVB</scope></search><sort><creationdate>20220805</creationdate><title>SIFT-based image registration method, device and system and storage medium</title><author>WU BINGYE</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN114862925A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2022</creationdate><topic>CALCULATING</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>WU BINGYE</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>WU BINGYE</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>SIFT-based image registration method, device and system and storage medium</title><date>2022-08-05</date><risdate>2022</risdate><abstract>The invention discloses an SIFT-based image registration method, device and system and a storage medium, and the method comprises the steps: obtaining a to-be-registered image and a reference image, carrying out the preprocessing of the to-be-registered image, and constructing a Gaussian difference scale space; extreme points in different scale spaces in the Gaussian difference scale space are obtained, feature points are selected according to the extreme points, and feature descriptors are generated for the feature points; calculating a local information entropy of the feature point field, and determining a final feature descriptor of the feature point according to the local information entropy and the feature descriptor; and optimizing feature point matching according to a genetic algorithm, generating a matching point pair, and correcting the matching point pair to complete image registration of the to-be-registered image. According to the method, the number of feature points needing to be matched and the</abstract><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier
ispartof
issn
language chi ; eng
recordid cdi_epo_espacenet_CN114862925A
source esp@cenet
subjects CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
PHYSICS
title SIFT-based image registration method, device and system and storage medium
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-09T04%3A18%3A58IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-epo_EVB&rft_val_fmt=info:ofi/fmt:kev:mtx:patent&rft.genre=patent&rft.au=WU%20BINGYE&rft.date=2022-08-05&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3ECN114862925A%3C/epo_EVB%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true