Track 3D geometrical morphology monitoring method and system based on machine vision

The invention relates to a track 3D geometric morphology monitoring method and system based on machine vision, and the method comprises the steps: carrying out the continuous shooting of a monitoring track through a depth-of-field camera, marking an image at a first moment, intercepting a frame of i...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: LI CHUJUN, DAI JINGHUI, WANG LIXIN, XIAO LEI, LEI SHENGXIANG, WANG KE, YU ZHONG
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 CHUJUN
DAI JINGHUI
WANG LIXIN
XIAO LEI
LEI SHENGXIANG
WANG KE
YU ZHONG
description The invention relates to a track 3D geometric morphology monitoring method and system based on machine vision, and the method comprises the steps: carrying out the continuous shooting of a monitoring track through a depth-of-field camera, marking an image at a first moment, intercepting a frame of image at an interval of a time period, converting a reference image and a monitoring image into a numerical matrix, and carrying out the recognition of the numerical matrix; and carrying out image digital processing on the numerical matrix, extracting and drawing a track boundary, obtaining a reference 3D geometric shape image and a monitoring 3D geometric shape image, and comparing the monitoring 3D geometric shape image with the reference 3D geometric shape image to obtain horizontal relative displacement and vertical relative displacement of the track at different moments. The system comprises a depth-of-field camera, a processing module, a display module and an alarm module. According to the invention, real-time
format Patent
fullrecord <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_CN117115189A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>CN117115189A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_CN117115189A3</originalsourceid><addsrcrecordid>eNqNijEKAjEQANNYiPqH9QEW4RC1lFOxskp_rMmaCya7IQnC_d4rfIDVDMwslTEF7Ru6C3iSRK0EixGSlDxKFD_NyqFJCexhzqM4QHZQp9oowRMrORCGhHYMTPAJNQiv1eKFsdLmx5Xa3q6mv-8oy0A1oyWmNvQPrQ9a7_XxdO7-eb6QITjP</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Track 3D geometrical morphology monitoring method and system based on machine vision</title><source>esp@cenet</source><creator>LI CHUJUN ; DAI JINGHUI ; WANG LIXIN ; XIAO LEI ; LEI SHENGXIANG ; WANG KE ; YU ZHONG</creator><creatorcontrib>LI CHUJUN ; DAI JINGHUI ; WANG LIXIN ; XIAO LEI ; LEI SHENGXIANG ; WANG KE ; YU ZHONG</creatorcontrib><description>The invention relates to a track 3D geometric morphology monitoring method and system based on machine vision, and the method comprises the steps: carrying out the continuous shooting of a monitoring track through a depth-of-field camera, marking an image at a first moment, intercepting a frame of image at an interval of a time period, converting a reference image and a monitoring image into a numerical matrix, and carrying out the recognition of the numerical matrix; and carrying out image digital processing on the numerical matrix, extracting and drawing a track boundary, obtaining a reference 3D geometric shape image and a monitoring 3D geometric shape image, and comparing the monitoring 3D geometric shape image with the reference 3D geometric shape image to obtain horizontal relative displacement and vertical relative displacement of the track at different moments. The system comprises a depth-of-field camera, a processing module, a display module and an alarm module. According to the invention, real-time</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL ; PHYSICS</subject><creationdate>2023</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=20231124&amp;DB=EPODOC&amp;CC=CN&amp;NR=117115189A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20231124&amp;DB=EPODOC&amp;CC=CN&amp;NR=117115189A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>LI CHUJUN</creatorcontrib><creatorcontrib>DAI JINGHUI</creatorcontrib><creatorcontrib>WANG LIXIN</creatorcontrib><creatorcontrib>XIAO LEI</creatorcontrib><creatorcontrib>LEI SHENGXIANG</creatorcontrib><creatorcontrib>WANG KE</creatorcontrib><creatorcontrib>YU ZHONG</creatorcontrib><title>Track 3D geometrical morphology monitoring method and system based on machine vision</title><description>The invention relates to a track 3D geometric morphology monitoring method and system based on machine vision, and the method comprises the steps: carrying out the continuous shooting of a monitoring track through a depth-of-field camera, marking an image at a first moment, intercepting a frame of image at an interval of a time period, converting a reference image and a monitoring image into a numerical matrix, and carrying out the recognition of the numerical matrix; and carrying out image digital processing on the numerical matrix, extracting and drawing a track boundary, obtaining a reference 3D geometric shape image and a monitoring 3D geometric shape image, and comparing the monitoring 3D geometric shape image with the reference 3D geometric shape image to obtain horizontal relative displacement and vertical relative displacement of the track at different moments. The system comprises a depth-of-field camera, a processing module, a display module and an alarm module. According to the invention, real-time</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>2023</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNijEKAjEQANNYiPqH9QEW4RC1lFOxskp_rMmaCya7IQnC_d4rfIDVDMwslTEF7Ru6C3iSRK0EixGSlDxKFD_NyqFJCexhzqM4QHZQp9oowRMrORCGhHYMTPAJNQiv1eKFsdLmx5Xa3q6mv-8oy0A1oyWmNvQPrQ9a7_XxdO7-eb6QITjP</recordid><startdate>20231124</startdate><enddate>20231124</enddate><creator>LI CHUJUN</creator><creator>DAI JINGHUI</creator><creator>WANG LIXIN</creator><creator>XIAO LEI</creator><creator>LEI SHENGXIANG</creator><creator>WANG KE</creator><creator>YU ZHONG</creator><scope>EVB</scope></search><sort><creationdate>20231124</creationdate><title>Track 3D geometrical morphology monitoring method and system based on machine vision</title><author>LI CHUJUN ; DAI JINGHUI ; WANG LIXIN ; XIAO LEI ; LEI SHENGXIANG ; WANG KE ; YU ZHONG</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN117115189A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2023</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 CHUJUN</creatorcontrib><creatorcontrib>DAI JINGHUI</creatorcontrib><creatorcontrib>WANG LIXIN</creatorcontrib><creatorcontrib>XIAO LEI</creatorcontrib><creatorcontrib>LEI SHENGXIANG</creatorcontrib><creatorcontrib>WANG KE</creatorcontrib><creatorcontrib>YU ZHONG</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>LI CHUJUN</au><au>DAI JINGHUI</au><au>WANG LIXIN</au><au>XIAO LEI</au><au>LEI SHENGXIANG</au><au>WANG KE</au><au>YU ZHONG</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Track 3D geometrical morphology monitoring method and system based on machine vision</title><date>2023-11-24</date><risdate>2023</risdate><abstract>The invention relates to a track 3D geometric morphology monitoring method and system based on machine vision, and the method comprises the steps: carrying out the continuous shooting of a monitoring track through a depth-of-field camera, marking an image at a first moment, intercepting a frame of image at an interval of a time period, converting a reference image and a monitoring image into a numerical matrix, and carrying out the recognition of the numerical matrix; and carrying out image digital processing on the numerical matrix, extracting and drawing a track boundary, obtaining a reference 3D geometric shape image and a monitoring 3D geometric shape image, and comparing the monitoring 3D geometric shape image with the reference 3D geometric shape image to obtain horizontal relative displacement and vertical relative displacement of the track at different moments. The system comprises a depth-of-field camera, a processing module, a display module and an alarm module. According to the invention, real-time</abstract><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier
ispartof
issn
language chi ; eng
recordid cdi_epo_espacenet_CN117115189A
source esp@cenet
subjects CALCULATING
COMPUTING
COUNTING
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
PHYSICS
title Track 3D geometrical morphology monitoring method and system based on machine vision
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-06T03%3A40%3A48IST&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%20CHUJUN&rft.date=2023-11-24&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3ECN117115189A%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