Method and system for quickly segmenting defect area of fan blade based on artificial intelligence

Method and system for quickly segmenting defect area of fan blade based on artificial intelligence

The invention relates to the technical field of image processing, in particular to a fan blade defect area rapid segmentation method and system based on artificial intelligence. The method comprises the following steps: firstly, acquiring pixel value similarity between a pixel point and each neighbo...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: WANG SEN, ZHAO ENGUO, SONG DONGHUI, SHAO HONGFENG, ZHANG ZHENJIANG
Format: Patent
Sprache:chi ; eng
Schlagworte:
CALCULATING
COMPUTING
COUNTING
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
PHYSICS
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 WANG SEN
ZHAO ENGUO
SONG DONGHUI
SHAO HONGFENG
ZHANG ZHENJIANG
description The invention relates to the technical field of image processing, in particular to a fan blade defect area rapid segmentation method and system based on artificial intelligence. The method comprises the following steps: firstly, acquiring pixel value similarity between a pixel point and each neighborhood pixel point in a neighborhood range; expanding in different preset directions in the neighborhood range of each pixel point, controlling the expansion process according to the difference of pixel value distribution characteristics between the expansion area and the fan blade image, determining the weight in the corresponding direction according to the expansion times, and further obtaining the pixel value weight of each neighborhood pixel point. And adjusting the corresponding pixel value similarity according to the pixel value weight, obtaining a neighborhood pixel similar feature vector of each pixel point, and further performing spectral clustering operation to complete positioning and segmentation of the
format Patent
fullrecord <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_CN116486091A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>CN116486091A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_CN116486091A3</originalsourceid><addsrcrecordid>eNqNyjEOwjAMRuEuDAi4gzkAEhUIwYgqEAtM7JWb_CkWqVMaM_T2MHAApjd8b1o0V9gjeWL1lMds6CikgV5vcc84UkbbQU20JY8AZ8QDmFKgwEpNZA9qOMNT0i-ZBHHCkUQNMUoLdZgXk8AxY_HrrFieT_fqskKfauSeHRRWV7ey3G33u_WhPG7-eT4Xjj2x</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Method and system for quickly segmenting defect area of fan blade based on artificial intelligence</title><source>esp@cenet</source><creator>WANG SEN ; ZHAO ENGUO ; SONG DONGHUI ; SHAO HONGFENG ; ZHANG ZHENJIANG</creator><creatorcontrib>WANG SEN ; ZHAO ENGUO ; SONG DONGHUI ; SHAO HONGFENG ; ZHANG ZHENJIANG</creatorcontrib><description>The invention relates to the technical field of image processing, in particular to a fan blade defect area rapid segmentation method and system based on artificial intelligence. The method comprises the following steps: firstly, acquiring pixel value similarity between a pixel point and each neighborhood pixel point in a neighborhood range; expanding in different preset directions in the neighborhood range of each pixel point, controlling the expansion process according to the difference of pixel value distribution characteristics between the expansion area and the fan blade image, determining the weight in the corresponding direction according to the expansion times, and further obtaining the pixel value weight of each neighborhood pixel point. And adjusting the corresponding pixel value similarity according to the pixel value weight, obtaining a neighborhood pixel similar feature vector of each pixel point, and further performing spectral clustering operation to complete positioning and segmentation of the</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=20230725&amp;DB=EPODOC&amp;CC=CN&amp;NR=116486091A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25563,76318</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20230725&amp;DB=EPODOC&amp;CC=CN&amp;NR=116486091A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>WANG SEN</creatorcontrib><creatorcontrib>ZHAO ENGUO</creatorcontrib><creatorcontrib>SONG DONGHUI</creatorcontrib><creatorcontrib>SHAO HONGFENG</creatorcontrib><creatorcontrib>ZHANG ZHENJIANG</creatorcontrib><title>Method and system for quickly segmenting defect area of fan blade based on artificial intelligence</title><description>The invention relates to the technical field of image processing, in particular to a fan blade defect area rapid segmentation method and system based on artificial intelligence. The method comprises the following steps: firstly, acquiring pixel value similarity between a pixel point and each neighborhood pixel point in a neighborhood range; expanding in different preset directions in the neighborhood range of each pixel point, controlling the expansion process according to the difference of pixel value distribution characteristics between the expansion area and the fan blade image, determining the weight in the corresponding direction according to the expansion times, and further obtaining the pixel value weight of each neighborhood pixel point. And adjusting the corresponding pixel value similarity according to the pixel value weight, obtaining a neighborhood pixel similar feature vector of each pixel point, and further performing spectral clustering operation to complete positioning and segmentation of the</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>eNqNyjEOwjAMRuEuDAi4gzkAEhUIwYgqEAtM7JWb_CkWqVMaM_T2MHAApjd8b1o0V9gjeWL1lMds6CikgV5vcc84UkbbQU20JY8AZ8QDmFKgwEpNZA9qOMNT0i-ZBHHCkUQNMUoLdZgXk8AxY_HrrFieT_fqskKfauSeHRRWV7ey3G33u_WhPG7-eT4Xjj2x</recordid><startdate>20230725</startdate><enddate>20230725</enddate><creator>WANG SEN</creator><creator>ZHAO ENGUO</creator><creator>SONG DONGHUI</creator><creator>SHAO HONGFENG</creator><creator>ZHANG ZHENJIANG</creator><scope>EVB</scope></search><sort><creationdate>20230725</creationdate><title>Method and system for quickly segmenting defect area of fan blade based on artificial intelligence</title><author>WANG SEN ; ZHAO ENGUO ; SONG DONGHUI ; SHAO HONGFENG ; ZHANG ZHENJIANG</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN116486091A3</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>WANG SEN</creatorcontrib><creatorcontrib>ZHAO ENGUO</creatorcontrib><creatorcontrib>SONG DONGHUI</creatorcontrib><creatorcontrib>SHAO HONGFENG</creatorcontrib><creatorcontrib>ZHANG ZHENJIANG</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>WANG SEN</au><au>ZHAO ENGUO</au><au>SONG DONGHUI</au><au>SHAO HONGFENG</au><au>ZHANG ZHENJIANG</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Method and system for quickly segmenting defect area of fan blade based on artificial intelligence</title><date>2023-07-25</date><risdate>2023</risdate><abstract>The invention relates to the technical field of image processing, in particular to a fan blade defect area rapid segmentation method and system based on artificial intelligence. The method comprises the following steps: firstly, acquiring pixel value similarity between a pixel point and each neighborhood pixel point in a neighborhood range; expanding in different preset directions in the neighborhood range of each pixel point, controlling the expansion process according to the difference of pixel value distribution characteristics between the expansion area and the fan blade image, determining the weight in the corresponding direction according to the expansion times, and further obtaining the pixel value weight of each neighborhood pixel point. And adjusting the corresponding pixel value similarity according to the pixel value weight, obtaining a neighborhood pixel similar feature vector of each pixel point, and further performing spectral clustering operation to complete positioning and segmentation of the</abstract><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier
ispartof
issn
language chi ; eng
recordid cdi_epo_espacenet_CN116486091A
source esp@cenet
subjects CALCULATING
COMPUTING
COUNTING
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
PHYSICS
title Method and system for quickly segmenting defect area of fan blade based on artificial intelligence
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-12T23%3A26%3A16IST&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=WANG%20SEN&rft.date=2023-07-25&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3ECN116486091A%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