{"id":"https://openalex.org/W3002067042","doi":"https://doi.org/10.1109/cisp-bmei48845.2019.8965850","title":"A Co-Random Walks Segmentation Method for Aerial Insulator Video Images","display_name":"A Co-Random Walks Segmentation Method for Aerial Insulator Video Images","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W3002067042","doi":"https://doi.org/10.1109/cisp-bmei48845.2019.8965850","mag":"3002067042"},"language":"en","primary_location":{"id":"doi:10.1109/cisp-bmei48845.2019.8965850","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei48845.2019.8965850","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054207933","display_name":"Zi Hui Yin","orcid":"https://orcid.org/0000-0001-7532-7372"},"institutions":[{"id":"https://openalex.org/I17442442","display_name":"State Grid Corporation of China (China)","ror":"https://ror.org/05twwhs70","country_code":"CN","type":"company","lineage":["https://openalex.org/I17442442"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zihui Yin","raw_affiliation_strings":["State Grid Hebei Electric Power Co., Ltd., Maintenance Branch,Shijiazhuang,China,050070","State Grid Hebei Electric Power Co., Ltd., Maintenance Branch, Shijiazhuang, China"],"affiliations":[{"raw_affiliation_string":"State Grid Hebei Electric Power Co., Ltd., Maintenance Branch,Shijiazhuang,China,050070","institution_ids":["https://openalex.org/I17442442"]},{"raw_affiliation_string":"State Grid Hebei Electric Power Co., Ltd., Maintenance Branch, Shijiazhuang, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029904624","display_name":"Rong Meng","orcid":null},"institutions":[{"id":"https://openalex.org/I17442442","display_name":"State Grid Corporation of China (China)","ror":"https://ror.org/05twwhs70","country_code":"CN","type":"company","lineage":["https://openalex.org/I17442442"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rong Meng","raw_affiliation_strings":["State Grid Hebei Electric Power Co., Ltd., Maintenance Branch,Shijiazhuang,China,050070","State Grid Hebei Electric Power Co., Ltd., Maintenance Branch, Shijiazhuang, China"],"affiliations":[{"raw_affiliation_string":"State Grid Hebei Electric Power Co., Ltd., Maintenance Branch,Shijiazhuang,China,050070","institution_ids":["https://openalex.org/I17442442"]},{"raw_affiliation_string":"State Grid Hebei Electric Power Co., Ltd., Maintenance Branch, Shijiazhuang, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014608442","display_name":"Junhu Dong","orcid":"https://orcid.org/0000-0002-5791-2890"},"institutions":[{"id":"https://openalex.org/I17442442","display_name":"State Grid Corporation of China (China)","ror":"https://ror.org/05twwhs70","country_code":"CN","type":"company","lineage":["https://openalex.org/I17442442"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junhu Dong","raw_affiliation_strings":["State Grid Hebei Electric Power Co., Ltd,Shijiazhuang,China,050070","State Grid Hebei Electric Power Co., Ltd, Shijiazhuang, China"],"affiliations":[{"raw_affiliation_string":"State Grid Hebei Electric Power Co., Ltd,Shijiazhuang,China,050070","institution_ids":["https://openalex.org/I17442442"]},{"raw_affiliation_string":"State Grid Hebei Electric Power Co., Ltd, Shijiazhuang, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026236284","display_name":"Jingyi Lang","orcid":null},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingyi Lang","raw_affiliation_strings":["School of Electrical and Electronic Engineering, North China Electric Power University,Baoding,China,071003","School of Electrical and Electronic Engineering, North China Electric Power University, Baoding, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, North China Electric Power University,Baoding,China,071003","institution_ids":["https://openalex.org/I153473198"]},{"raw_affiliation_string":"School of Electrical and Electronic Engineering, North China Electric Power University, Baoding, China","institution_ids":["https://openalex.org/I153473198"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085263743","display_name":"Zhenbing Zhao","orcid":"https://orcid.org/0000-0003-2290-0598"},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenbing Zhao","raw_affiliation_strings":["School of Electrical and Electronic Engineering, North China Electric Power University,Baoding,China,071003","School of Electrical and Electronic Engineering, North China Electric Power University, Baoding, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, North China Electric Power University,Baoding,China,071003","institution_ids":["https://openalex.org/I153473198"]},{"raw_affiliation_string":"School of Electrical and Electronic Engineering, North China Electric Power University, Baoding, China","institution_ids":["https://openalex.org/I153473198"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5054207933"],"corresponding_institution_ids":["https://openalex.org/I17442442"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.17005104,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7702521681785583},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7329796552658081},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7200961112976074},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6544018387794495},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5549613833427429},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5188354253768921},{"id":"https://openalex.org/keywords/cut","display_name":"Cut","score":0.5150611400604248},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4876948297023773},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48378679156303406},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.456116646528244},{"id":"https://openalex.org/keywords/minimum-spanning-tree-based-segmentation","display_name":"Minimum spanning tree-based segmentation","score":0.4438713788986206},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.4430522918701172},{"id":"https://openalex.org/keywords/aerial-image","display_name":"Aerial image","score":0.4314000606536865},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2242480218410492}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7702521681785583},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7329796552658081},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7200961112976074},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6544018387794495},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5549613833427429},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5188354253768921},{"id":"https://openalex.org/C5134670","wikidata":"https://www.wikidata.org/wiki/Q1626444","display_name":"Cut","level":4,"score":0.5150611400604248},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4876948297023773},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48378679156303406},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.456116646528244},{"id":"https://openalex.org/C42314347","wikidata":"https://www.wikidata.org/wiki/Q6865488","display_name":"Minimum spanning tree-based segmentation","level":5,"score":0.4438713788986206},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.4430522918701172},{"id":"https://openalex.org/C2776429412","wikidata":"https://www.wikidata.org/wiki/Q4688011","display_name":"Aerial image","level":3,"score":0.4314000606536865},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2242480218410492}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cisp-bmei48845.2019.8965850","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei48845.2019.8965850","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1923594904","https://openalex.org/W1963920598","https://openalex.org/W1970899458","https://openalex.org/W2003343330","https://openalex.org/W2027961328","https://openalex.org/W2029430517","https://openalex.org/W2037123093","https://openalex.org/W2086052791","https://openalex.org/W2105038642","https://openalex.org/W2108424265","https://openalex.org/W2118246710","https://openalex.org/W2125436763","https://openalex.org/W2125637308","https://openalex.org/W2128742365","https://openalex.org/W2129260071","https://openalex.org/W2157244733","https://openalex.org/W2171014688","https://openalex.org/W2367748598","https://openalex.org/W2581053080","https://openalex.org/W2769112283","https://openalex.org/W2807888105","https://openalex.org/W2899007243","https://openalex.org/W4249958705","https://openalex.org/W6640351089","https://openalex.org/W6642933618","https://openalex.org/W6672201949","https://openalex.org/W6685003275"],"related_works":["https://openalex.org/W2185902295","https://openalex.org/W2551987074","https://openalex.org/W3144569342","https://openalex.org/W2355564272","https://openalex.org/W2354401560","https://openalex.org/W2184016944","https://openalex.org/W2169551590","https://openalex.org/W2088651901","https://openalex.org/W2092484105","https://openalex.org/W2897997384"],"abstract_inverted_index":{"Insulator":[0],"segmentation":[1,57,91,138],"is":[2,122,146,187],"an":[3,62],"important":[4],"premise":[5],"of":[6,143,183],"automatic":[7,63,184],"state":[8,195],"detection":[9,196],"and":[10,29,53,164,197],"fault":[11,198],"diagnosis":[12],"in":[13,55,86,98],"image":[14,145],"processing.":[15],"The":[16,33,148],"aerial":[17,74,191,193],"insulator":[18,75,160],"images":[19,77,103],"are":[20,104],"characterized":[21],"by":[22,108],"complex":[23,162],"background,":[24],"low":[25],"resolution,":[26],"large":[27],"number":[28],"many":[30],"pseudo":[31,167],"targets.":[32],"classical":[34],"random":[35,136],"walks":[36,137],"algorithm":[37,128],"may":[38],"segment":[39,46],"wrongly.":[40],"It":[41],"requires":[42],"massive":[43],"interaction":[44],"to":[45,81,88,129,178,189],"multiple":[47],"images,":[48,100],"which":[49,69,186],"makes":[50],"user":[51],"fatigue":[52],"results":[54,150],"bad":[56],"quality.":[58],"This":[59],"paper":[60],"proposes":[61],"co-segmentation":[64],"method":[65,155],"called":[66],"co-random":[67],"walks,":[68],"utilizes":[70],"the":[71,96,101,118,135,153,159,166],"relationship":[72],"between":[73],"video":[76],"as":[78],"prior":[79],"information":[80],"find":[82],"corresponding":[83,131,140],"seed":[84,132,141,176],"points":[85,142,177],"order":[87],"achieve":[89,179],"higher":[90],"accuracy.":[92],"Firstly,":[93],"we":[94,124],"remove":[95],"texts":[97],"original":[99],"preprocessed":[102],"over-segmented":[105],"into":[106],"super-pixels":[107],"SLIC":[109],"(Simple":[110],"Linear":[111],"Iterative":[112],"Clustering)":[113],"for":[114,139],"fast":[115],"segmentation.":[116],"Then":[117],"collaborative":[119],"graph":[120],"network":[121],"constructed,":[123],"use":[125],"a":[126,174],"greedy":[127],"get":[130],"points.":[133],"Finally,":[134],"each":[144],"performed.":[147],"experimental":[149],"show":[151],"that":[152],"proposed":[154],"can":[156],"efficiently":[157],"distinguish":[158],"from":[161],"background":[163],"eliminate":[165],"target":[168],"like":[169],"tower.":[170],"We":[171],"only":[172],"need":[173],"few":[175],"relatively":[180],"high":[181],"accuracy":[182],"segmentation,":[185],"instrumental":[188],"unmanned":[190],"vehiclel":[192],"insulators'":[194],"diagnosis.":[199]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-03-30T08:08:38.191290","created_date":"2025-10-10T00:00:00"}