{"id":"https://openalex.org/W2957172568","doi":"https://doi.org/10.1109/access.2019.2927655","title":"Adaptive Edge Detection Algorithm Based on Grey Entropy Theory and Textural Features","display_name":"Adaptive Edge Detection Algorithm Based on Grey Entropy Theory and Textural Features","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2957172568","doi":"https://doi.org/10.1109/access.2019.2927655","mag":"2957172568"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2927655","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2927655","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08758200.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08758200.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100459151","display_name":"Zheng Zhen","orcid":"https://orcid.org/0000-0002-8902-9357"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Zheng","raw_affiliation_strings":["School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-8902-9357","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109657207","display_name":"Bingting Zha","orcid":null},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bingting Zha","raw_affiliation_strings":["School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044655907","display_name":"Youshi Xuchen","orcid":null},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Youshi Xuchen","raw_affiliation_strings":["School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043251453","display_name":"Hailu Yuan","orcid":null},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hailu Yuan","raw_affiliation_strings":["School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090135865","display_name":"Yanliang Gao","orcid":null},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanliang Gao","raw_affiliation_strings":["School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100746682","display_name":"He Zhang","orcid":"https://orcid.org/0000-0003-3801-5681"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"He Zhang","raw_affiliation_strings":["School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I36399199"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.2453,"has_fulltext":true,"cited_by_count":15,"citation_normalized_percentile":{"value":0.80708106,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":"7","issue":null,"first_page":"92943","last_page":"92954"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9980999827384949,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9980999827384949,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9894999861717224,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9804999828338623,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.6412227153778076},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5794914960861206},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5089614391326904},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48780325055122375},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.47847792506217957},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4723033905029297},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4533393681049347},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4440057873725891},{"id":"https://openalex.org/keywords/notation","display_name":"Notation","score":0.44251203536987305},{"id":"https://openalex.org/keywords/gray","display_name":"Gray (unit)","score":0.42344242334365845},{"id":"https://openalex.org/keywords/information-theory","display_name":"Information theory","score":0.41620656847953796},{"id":"https://openalex.org/keywords/gray-level","display_name":"Gray level","score":0.4112027585506439},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.40988221764564514},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.18145126104354858},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1161918044090271},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.09197255969047546}],"concepts":[{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.6412227153778076},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5794914960861206},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5089614391326904},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48780325055122375},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.47847792506217957},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4723033905029297},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4533393681049347},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4440057873725891},{"id":"https://openalex.org/C45357846","wikidata":"https://www.wikidata.org/wiki/Q2001982","display_name":"Notation","level":2,"score":0.44251203536987305},{"id":"https://openalex.org/C166275286","wikidata":"https://www.wikidata.org/wiki/Q190095","display_name":"Gray (unit)","level":2,"score":0.42344242334365845},{"id":"https://openalex.org/C52622258","wikidata":"https://www.wikidata.org/wiki/Q131222","display_name":"Information theory","level":2,"score":0.41620656847953796},{"id":"https://openalex.org/C2985861186","wikidata":"https://www.wikidata.org/wiki/Q685727","display_name":"Gray level","level":3,"score":0.4112027585506439},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.40988221764564514},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.18145126104354858},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1161918044090271},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.09197255969047546},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2927655","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2927655","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08758200.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:ca4fe66fc33c49df8788997a7adb3ad1","is_oa":true,"landing_page_url":"https://doaj.org/article/ca4fe66fc33c49df8788997a7adb3ad1","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 92943-92954 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2927655","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2927655","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08758200.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.44999998807907104,"display_name":"Sustainable cities and communities"}],"awards":[{"id":"https://openalex.org/G3369229913","display_name":null,"funder_award_id":"51709147","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321605","display_name":"Government of Jiangsu Province","ror":"https://ror.org/004svx814"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2957172568.pdf","grobid_xml":"https://content.openalex.org/works/W2957172568.grobid-xml"},"referenced_works_count":61,"referenced_works":["https://openalex.org/W1899325259","https://openalex.org/W1940774648","https://openalex.org/W1980228730","https://openalex.org/W1983272054","https://openalex.org/W1993392281","https://openalex.org/W2005503614","https://openalex.org/W2008043556","https://openalex.org/W2018172230","https://openalex.org/W2033250440","https://openalex.org/W2035233697","https://openalex.org/W2037563221","https://openalex.org/W2045835205","https://openalex.org/W2058243682","https://openalex.org/W2062019087","https://openalex.org/W2065741878","https://openalex.org/W2065768263","https://openalex.org/W2075342127","https://openalex.org/W2078085827","https://openalex.org/W2089188673","https://openalex.org/W2092053623","https://openalex.org/W2110158442","https://openalex.org/W2124958449","https://openalex.org/W2125313748","https://openalex.org/W2130149629","https://openalex.org/W2139577851","https://openalex.org/W2140793580","https://openalex.org/W2145023731","https://openalex.org/W2152328854","https://openalex.org/W2156233337","https://openalex.org/W2157840858","https://openalex.org/W2168014483","https://openalex.org/W2235284711","https://openalex.org/W2238526064","https://openalex.org/W2317718256","https://openalex.org/W2334297625","https://openalex.org/W2371917053","https://openalex.org/W2394247720","https://openalex.org/W2544474854","https://openalex.org/W2545065926","https://openalex.org/W2557395112","https://openalex.org/W2560172284","https://openalex.org/W2575780371","https://openalex.org/W2587547887","https://openalex.org/W2802276015","https://openalex.org/W2883146545","https://openalex.org/W2883295145","https://openalex.org/W2886849145","https://openalex.org/W2892836553","https://openalex.org/W2936841600","https://openalex.org/W2963120456","https://openalex.org/W4403683631","https://openalex.org/W6640535995","https://openalex.org/W6678725310","https://openalex.org/W6678813283","https://openalex.org/W6679415571","https://openalex.org/W6684905197","https://openalex.org/W6729163530","https://openalex.org/W6732250182","https://openalex.org/W6733576318","https://openalex.org/W6753170350","https://openalex.org/W7058170754"],"related_works":["https://openalex.org/W2022419910","https://openalex.org/W2808615211","https://openalex.org/W4246259471","https://openalex.org/W4239226046","https://openalex.org/W4246457037","https://openalex.org/W4242705089","https://openalex.org/W659309325","https://openalex.org/W4251930800","https://openalex.org/W1989714207","https://openalex.org/W4254289682"],"abstract_inverted_index":{"The":[0,46,156,174],"traditional":[1],"edge":[2,20,153,167,185],"detection":[3,21,168,187],"method":[4,140],"is":[5,49,103,141],"altogether":[6],"inaccurate,":[7],"nonadaptive,":[8],"and":[9,28,79,115,150,169],"particularly":[10],"ineffective":[11],"on":[12,24,106],"noisy":[13],"images.":[14],"This":[15],"paper":[16],"proposes":[17],"a":[18,181],"novel":[19],"algorithm":[22,163],"based":[23],"gray":[25,65,71,86,92,132,145],"entropy":[26,93,101,133,146],"theory":[27,94],"local":[29,43],"texture":[30,44,113],"features.":[31,45],"In":[32],"the$3\\times":[33,58],"3$neighborhood":[34,59],"window,":[35],"28":[36,64,76,85,112],"comparison":[37,77,108],"sequences":[38,78,109,117],"are":[39,89],"constructed":[40],"according":[41],"to":[42,95,128,143],"reference":[47,80,116,183],"sequence":[48,148],"composed":[50,110,118],"of":[51,54,63,111,119,124,176,191],"the":[52,75,98,107,120,125,130,161,189],"median":[53],"all":[55,152],"elements":[56,149],"in":[57,188],"window.":[60],"A":[61,135],"total":[62],"relation":[66,72,87],"degrees":[67],"as":[68,82,84],"obtained":[69],"by":[70,91],"analysis":[73,102],"between":[74],"sequences,":[81],"well":[83],"degrees,":[88],"analyzed":[90],"initially":[96],"filter":[97],"image.":[99],"Gray":[100],"then":[104],"performed":[105],"features":[114],"central":[121],"pixel":[122],"points":[123,154],"filtered":[126],"image":[127,195],"determine":[129],"maximum":[131],"difference.":[134],"comparative":[136],"threshold":[137],"adaptive":[138,166],"acquisition":[139],"designed":[142],"separate":[144],"difference":[147],"identify":[151],"accordingly.":[155],"simulation":[157],"results":[158,175],"show":[159],"that":[160],"proposed":[162],"effectively":[164],"achieves":[165],"has":[170],"strong":[171],"anti-noise":[172],"capability.":[173],"this":[177],"study":[178],"may":[179],"provide":[180],"workable":[182],"for":[184],"information":[186],"field":[190],"artificial":[192],"intelligence":[193],"(e.g.,":[194],"recognition,":[196],"pattern":[197],"recognition":[198],"applications).":[199]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":3}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}