Image registration method and device based on scale learning, computer equipment and medium
The embodiment of the invention provides an image registration method and device based on scale learning, computer equipment and a medium. The method comprises the steps that a training sample set is determined; constructing a target network structure; training the target network structure based on...
Gespeichert in:
Hauptverfasser: | , , , , , , , |
---|---|
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 | LI BING MA FENG LI SHAOPENG YANG QISONG ZHAO JIUFEN LI YAXIONG WU JIAN WANG SHUNHONG |
description | The embodiment of the invention provides an image registration method and device based on scale learning, computer equipment and a medium. The method comprises the steps that a training sample set is determined; constructing a target network structure; training the target network structure based on the training sample set to obtain a target learning model, the target learning model being used for outputting a similarity metric value between the two color blocks according to the input two color blocks; inputting the third color block of the to-be-matched image and the fourth color block of the matched image into a target learning model, and obtaining a similarity measurement value between the third color block and the fourth color block based on the output of the target learning model; and based on the similarity measurement value between the third color block and the fourth color block, registering the to-be-matched image and the matched image. Therefore, the image registration efficiency is improved.
本公开的实施例 |
format | Patent |
fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_CN117853537A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>CN117853537A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_CN117853537A3</originalsourceid><addsrcrecordid>eNqNizkOwjAUBdNQIOAOnx6KyIpCiyIQNFR0FNHHfjiWvOGF84MQB6CaYmbmze3sWIMStMklcTHBk0OZgiL2ihReRoLunKHoo7JkC7Lg5I3XG5LBxVqQCM9qooMv381BmeqWzezBNmP146JZHw_X4bRFDCNyZAmPMg6Xtu13nehEvxf_NG9SMTtP</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Image registration method and device based on scale learning, computer equipment and medium</title><source>esp@cenet</source><creator>LI BING ; MA FENG ; LI SHAOPENG ; YANG QISONG ; ZHAO JIUFEN ; LI YAXIONG ; WU JIAN ; WANG SHUNHONG</creator><creatorcontrib>LI BING ; MA FENG ; LI SHAOPENG ; YANG QISONG ; ZHAO JIUFEN ; LI YAXIONG ; WU JIAN ; WANG SHUNHONG</creatorcontrib><description>The embodiment of the invention provides an image registration method and device based on scale learning, computer equipment and a medium. The method comprises the steps that a training sample set is determined; constructing a target network structure; training the target network structure based on the training sample set to obtain a target learning model, the target learning model being used for outputting a similarity metric value between the two color blocks according to the input two color blocks; inputting the third color block of the to-be-matched image and the fourth color block of the matched image into a target learning model, and obtaining a similarity measurement value between the third color block and the fourth color block based on the output of the target learning model; and based on the similarity measurement value between the third color block and the fourth color block, registering the to-be-matched image and the matched image. Therefore, the image registration efficiency is improved.
本公开的实施例</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL ; PHYSICS</subject><creationdate>2024</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&date=20240409&DB=EPODOC&CC=CN&NR=117853537A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20240409&DB=EPODOC&CC=CN&NR=117853537A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>LI BING</creatorcontrib><creatorcontrib>MA FENG</creatorcontrib><creatorcontrib>LI SHAOPENG</creatorcontrib><creatorcontrib>YANG QISONG</creatorcontrib><creatorcontrib>ZHAO JIUFEN</creatorcontrib><creatorcontrib>LI YAXIONG</creatorcontrib><creatorcontrib>WU JIAN</creatorcontrib><creatorcontrib>WANG SHUNHONG</creatorcontrib><title>Image registration method and device based on scale learning, computer equipment and medium</title><description>The embodiment of the invention provides an image registration method and device based on scale learning, computer equipment and a medium. The method comprises the steps that a training sample set is determined; constructing a target network structure; training the target network structure based on the training sample set to obtain a target learning model, the target learning model being used for outputting a similarity metric value between the two color blocks according to the input two color blocks; inputting the third color block of the to-be-matched image and the fourth color block of the matched image into a target learning model, and obtaining a similarity measurement value between the third color block and the fourth color block based on the output of the target learning model; and based on the similarity measurement value between the third color block and the fourth color block, registering the to-be-matched image and the matched image. Therefore, the image registration efficiency is improved.
本公开的实施例</description><subject>CALCULATING</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>2024</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNizkOwjAUBdNQIOAOnx6KyIpCiyIQNFR0FNHHfjiWvOGF84MQB6CaYmbmze3sWIMStMklcTHBk0OZgiL2ihReRoLunKHoo7JkC7Lg5I3XG5LBxVqQCM9qooMv381BmeqWzezBNmP146JZHw_X4bRFDCNyZAmPMg6Xtu13nehEvxf_NG9SMTtP</recordid><startdate>20240409</startdate><enddate>20240409</enddate><creator>LI BING</creator><creator>MA FENG</creator><creator>LI SHAOPENG</creator><creator>YANG QISONG</creator><creator>ZHAO JIUFEN</creator><creator>LI YAXIONG</creator><creator>WU JIAN</creator><creator>WANG SHUNHONG</creator><scope>EVB</scope></search><sort><creationdate>20240409</creationdate><title>Image registration method and device based on scale learning, computer equipment and medium</title><author>LI BING ; MA FENG ; LI SHAOPENG ; YANG QISONG ; ZHAO JIUFEN ; LI YAXIONG ; WU JIAN ; WANG SHUNHONG</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN117853537A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2024</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>LI BING</creatorcontrib><creatorcontrib>MA FENG</creatorcontrib><creatorcontrib>LI SHAOPENG</creatorcontrib><creatorcontrib>YANG QISONG</creatorcontrib><creatorcontrib>ZHAO JIUFEN</creatorcontrib><creatorcontrib>LI YAXIONG</creatorcontrib><creatorcontrib>WU JIAN</creatorcontrib><creatorcontrib>WANG SHUNHONG</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>LI BING</au><au>MA FENG</au><au>LI SHAOPENG</au><au>YANG QISONG</au><au>ZHAO JIUFEN</au><au>LI YAXIONG</au><au>WU JIAN</au><au>WANG SHUNHONG</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Image registration method and device based on scale learning, computer equipment and medium</title><date>2024-04-09</date><risdate>2024</risdate><abstract>The embodiment of the invention provides an image registration method and device based on scale learning, computer equipment and a medium. The method comprises the steps that a training sample set is determined; constructing a target network structure; training the target network structure based on the training sample set to obtain a target learning model, the target learning model being used for outputting a similarity metric value between the two color blocks according to the input two color blocks; inputting the third color block of the to-be-matched image and the fourth color block of the matched image into a target learning model, and obtaining a similarity measurement value between the third color block and the fourth color block based on the output of the target learning model; and based on the similarity measurement value between the third color block and the fourth color block, registering the to-be-matched image and the matched image. Therefore, the image registration efficiency is improved.
本公开的实施例</abstract><oa>free_for_read</oa></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | |
ispartof | |
issn | |
language | chi ; eng |
recordid | cdi_epo_espacenet_CN117853537A |
source | esp@cenet |
subjects | CALCULATING COMPUTING COUNTING IMAGE DATA PROCESSING OR GENERATION, IN GENERAL PHYSICS |
title | Image registration method and device based on scale learning, computer equipment and medium |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-23T05%3A06%3A23IST&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=LI%20BING&rft.date=2024-04-09&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3ECN117853537A%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 |