{"id":"https://openalex.org/W2901300968","doi":"https://doi.org/10.1109/icmlc.2018.8526960","title":"Research On Broken Corner And Black Edge Detection Of Solar Cell","display_name":"Research On Broken Corner And Black Edge Detection Of Solar Cell","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2901300968","doi":"https://doi.org/10.1109/icmlc.2018.8526960","mag":"2901300968"},"language":"en","primary_location":{"id":"doi:10.1109/icmlc.2018.8526960","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2018.8526960","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference on Machine Learning and Cybernetics (ICMLC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101405735","display_name":"Meiping Song","orcid":"https://orcid.org/0000-0002-4489-5470"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mei-Ping Song","raw_affiliation_strings":["Dalian Maritime University, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019546610","display_name":"Xiaodi Shang","orcid":"https://orcid.org/0000-0002-0133-8447"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao-Di Shang","raw_affiliation_strings":["Dalian Maritime University, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100624941","display_name":"Chunyan Yu","orcid":"https://orcid.org/0000-0002-9260-6629"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chun-Yan Yu","raw_affiliation_strings":["Dalian Maritime University, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089005116","display_name":"Jubai An","orcid":"https://orcid.org/0000-0002-8667-1168"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ju-Bai An","raw_affiliation_strings":["Dalian Maritime University, Dalian, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073412670","display_name":"Chein\u2010I Chang","orcid":"https://orcid.org/0000-0002-5450-4891"},"institutions":[{"id":"https://openalex.org/I79272384","display_name":"University of Maryland, Baltimore County","ror":"https://ror.org/02qskvh78","country_code":"US","type":"education","lineage":["https://openalex.org/I79272384"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chein-I Chang","raw_affiliation_strings":["Department of Computer Science and Electrical Engineering, University of Maryland, Baltimore County, Baltimore, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Electrical Engineering, University of Maryland, Baltimore County, Baltimore, MD, USA","institution_ids":["https://openalex.org/I79272384"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"80","last_page":"84"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9997000098228455,"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"}},{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9901999831199646,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12549","display_name":"Image and Object Detection Techniques","score":0.9822999835014343,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7437477111816406},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7044030427932739},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6877661943435669},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6797974109649658},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5910178422927856},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5631341934204102},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.532738983631134},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5281558036804199},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5260650515556335},{"id":"https://openalex.org/keywords/binary-image","display_name":"Binary image","score":0.5059818625450134},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.47628799080848694},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.34218674898147583},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3378443419933319}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7437477111816406},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7044030427932739},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6877661943435669},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6797974109649658},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5910178422927856},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5631341934204102},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.532738983631134},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5281558036804199},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5260650515556335},{"id":"https://openalex.org/C193828747","wikidata":"https://www.wikidata.org/wiki/Q864118","display_name":"Binary image","level":4,"score":0.5059818625450134},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.47628799080848694},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.34218674898147583},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3378443419933319}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icmlc.2018.8526960","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2018.8526960","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 International Conference on Machine Learning and Cybernetics (ICMLC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1980469608","https://openalex.org/W2035742536","https://openalex.org/W2062658581","https://openalex.org/W2071448691","https://openalex.org/W2090918761","https://openalex.org/W2102939331","https://openalex.org/W2130778181","https://openalex.org/W2160408749","https://openalex.org/W2216559353","https://openalex.org/W2275932102","https://openalex.org/W2379539369"],"related_works":["https://openalex.org/W2038862184","https://openalex.org/W2028037572","https://openalex.org/W2315652488","https://openalex.org/W3186605777","https://openalex.org/W2039365229","https://openalex.org/W3107295340","https://openalex.org/W2101902114","https://openalex.org/W2145843506","https://openalex.org/W2379089757","https://openalex.org/W4249592067"],"abstract_inverted_index":{"In":[0],"order":[1],"to":[2,26,58,61,88,104,113,139],"solve":[3],"the":[4,13,29,36,41,49,53,59,68,74,77,84,96,101,106,110,115,120,123,127,130,141],"defects":[5,128],"of":[6,17,33,126,129,144],"broken":[7,131],"corners":[8,132],"and":[9,15,31,40,52,81,108,118,133],"black":[10,134],"edges":[11,135],"in":[12],"production":[14],"application":[16],"crystalline":[18],"silicon":[19],"solar":[20,42],"cells,":[21],"a":[22,90],"system":[23],"was":[24],"designed":[25],"automatically":[27],"identify":[28],"types":[30],"locations":[32],"defects.":[34,121,145],"First,":[35],"image":[37,63,69,78],"is":[38,44,79],"preprocessed":[39],"cell":[43],"divided":[45],"into":[46],"sub-slices.":[47],"Then":[48],"homomorphic":[50],"filter":[51,55],"high-pass":[54],"are":[56,136],"applied":[57],"sub-slices":[60],"achieve":[62],"enhancement,":[64],"which":[65],"can":[66],"keep":[67],"details":[70],"better":[71],"while":[72],"suppressing":[73],"noise.":[75],"Then,":[76],"segmented":[80],"binarized":[82],"using":[83],"existing":[85],"segmentation":[86,97,116],"method":[87,103,112],"obtain":[89],"defective":[91],"binary":[92],"image.":[93],"After":[94],"comparing":[95],"effects,":[98],"we":[99],"select":[100],"OSTU":[102],"segment":[105],"defects,":[107],"use":[109],"morphology":[111],"optimize":[114],"results":[117],"extract":[119],"Finally,":[122],"basic":[124],"features":[125],"respectively":[137],"defined":[138],"realize":[140],"automatic":[142],"classification":[143]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
