{"id":"https://openalex.org/W4320724705","doi":"https://doi.org/10.3233/jcm-226722","title":"Edge detection algorithm in complex image text information extraction","display_name":"Edge detection algorithm in complex image text information extraction","publication_year":2023,"publication_date":"2023-02-14","ids":{"openalex":"https://openalex.org/W4320724705","doi":"https://doi.org/10.3233/jcm-226722"},"language":"en","primary_location":{"id":"doi:10.3233/jcm-226722","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jcm-226722","pdf_url":null,"source":{"id":"https://openalex.org/S2765058733","display_name":"Journal of Computational Methods in Sciences and Engineering","issn_l":"1472-7978","issn":["1472-7978","1875-8983"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computational Methods in Sciences and Engineering","raw_type":"journal-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/A5100332555","display_name":"Zhen Li","orcid":"https://orcid.org/0000-0001-8037-4245"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Zhen Li","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5100332555"],"corresponding_institution_ids":[],"apc_list":{"value":4150,"currency":"USD","value_usd":4150},"apc_paid":null,"fwci":0.2849,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.47762047,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"23","issue":"3","first_page":"1381","last_page":"1393"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9588000178337097,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9588000178337097,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9588000178337097,"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/T10601","display_name":"Handwritten Text Recognition Techniques","score":0.9559999704360962,"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/canny-edge-detector","display_name":"Canny edge detector","score":0.7352627515792847},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6473947167396545},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.635888397693634},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.525668203830719},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.49278929829597473},{"id":"https://openalex.org/keywords/deriche-edge-detector","display_name":"Deriche edge detector","score":0.4632524251937866},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4597899913787842},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.453514039516449},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.43723535537719727},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4368930160999298},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.43230095505714417},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4036444425582886},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.1963830590248108}],"concepts":[{"id":"https://openalex.org/C14705441","wikidata":"https://www.wikidata.org/wiki/Q597183","display_name":"Canny edge detector","level":5,"score":0.7352627515792847},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6473947167396545},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.635888397693634},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.525668203830719},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.49278929829597473},{"id":"https://openalex.org/C167074055","wikidata":"https://www.wikidata.org/wiki/Q5262565","display_name":"Deriche edge detector","level":5,"score":0.4632524251937866},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4597899913787842},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.453514039516449},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.43723535537719727},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4368930160999298},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.43230095505714417},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4036444425582886},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.1963830590248108}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jcm-226722","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jcm-226722","pdf_url":null,"source":{"id":"https://openalex.org/S2765058733","display_name":"Journal of Computational Methods in Sciences and Engineering","issn_l":"1472-7978","issn":["1472-7978","1875-8983"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computational Methods in Sciences and Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W2090070768","https://openalex.org/W2570248523","https://openalex.org/W2581925745","https://openalex.org/W2591871565","https://openalex.org/W2594435365","https://openalex.org/W2616910711","https://openalex.org/W2646959092","https://openalex.org/W2775203901","https://openalex.org/W2789511664","https://openalex.org/W2801135024","https://openalex.org/W2802276015","https://openalex.org/W2909425146","https://openalex.org/W2909640490","https://openalex.org/W2918064209","https://openalex.org/W2969295860","https://openalex.org/W2980651462","https://openalex.org/W2981089724","https://openalex.org/W2996221890","https://openalex.org/W2998301900","https://openalex.org/W3023553219","https://openalex.org/W3035116608","https://openalex.org/W3037576390","https://openalex.org/W3135315981","https://openalex.org/W4224304122"],"related_works":["https://openalex.org/W2545065926","https://openalex.org/W3093839383","https://openalex.org/W1994279415","https://openalex.org/W2015446345","https://openalex.org/W2980082320","https://openalex.org/W2056066761","https://openalex.org/W2185255929","https://openalex.org/W2150787373","https://openalex.org/W2374599874","https://openalex.org/W2128085731"],"abstract_inverted_index":{"With":[0],"the":[1,10,31,40,44,53,60,73,77,82,89,100,105,114,125,130,142,146,164,172,178],"rapid":[2],"development":[3],"of":[4,12,33,56,70,91,124,167,177,184],"network":[5],"technology":[6],"and":[7,50,93,113,129,145,150,156,171,186,204],"information":[8,13,25,75],"technology,":[9],"amount":[11],"contained":[14],"in":[15,36,43,76,163],"images":[16,28],"has":[17,29,197],"increased":[18],"significantly.":[19],"How":[20],"to":[21,52,65,98],"effectively":[22],"extract":[23],"text":[24,74,169,173,200,206],"from":[26,81,96],"complex":[27,57,209],"become":[30],"focus":[32],"current":[34],"research":[35],"this":[37,195],"field.":[38],"Firstly,":[39],"Canny":[41,107,148],"algorithm":[42,47,62,108,126,144,180],"edge":[45,54],"detection":[46,55,115],"is":[48,63,79,109,117,127,135,160,187,214],"improved":[49,106],"applied":[51],"images.":[58,210],"Then":[59],"K-means":[61],"optimized":[64],"achieve":[66],"better":[67,140,152],"clustering":[68],"effect":[69,155],"pixels.":[71],"Finally,":[72],"image":[78,157,168],"extracted":[80],"two.":[83],"The":[84,119],"results":[85],"show":[86],"that":[87,194],"under":[88],"influence":[90],"salt":[92],"pepper":[94],"noise":[95,153],"0%":[97],"90%,":[99,192],"quality":[101],"factor":[102],"obtained":[103],"by":[104],"at":[110,189],"least":[111],"0.4,":[112],"accuracy":[116,175,202],"higher;":[118],"minimum":[120],"peak":[121],"signal-to-noise":[122],"ratio":[123],"38,":[128],"maximum":[131,183],"mean":[132],"square":[133],"error":[134],"30,":[136],"which":[137],"are":[138],"both":[139],"than":[141,191],"LOG":[143],"traditional":[147],"algorithm,":[149],"have":[151],"reduction":[154],"fidelity.":[158],"It":[159],"used":[161],"together":[162],"extraction":[165,207],"process":[166],"information,":[170],"recognition":[174,201],"rate":[176,203],"combined":[179],"reaches":[181],"a":[182,198],"93%,":[185],"stable":[188],"more":[190],"indicating":[193],"method":[196],"high":[199],"provides":[205],"for":[208],"A":[211],"reference":[212],"path":[213],"available.":[215]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}
