{"id":"https://openalex.org/W2799649152","doi":"https://doi.org/10.1117/12.2309453","title":"An adhered-particle analysis system based on concave points","display_name":"An adhered-particle analysis system based on concave points","publication_year":2018,"publication_date":"2018-04-13","ids":{"openalex":"https://openalex.org/W2799649152","doi":"https://doi.org/10.1117/12.2309453","mag":"2799649152"},"language":"en","primary_location":{"id":"doi:10.1117/12.2309453","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2309453","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Tenth International Conference on Machine Vision (ICMV 2017)","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/A5100603827","display_name":"Wencheng Wang","orcid":"https://orcid.org/0000-0002-0888-9225"},"institutions":[{"id":"https://openalex.org/I66883779","display_name":"Weifang University","ror":"https://ror.org/01frp7483","country_code":"CN","type":"education","lineage":["https://openalex.org/I66883779"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wencheng Wang","raw_affiliation_strings":["Weifang Univ. (China)"],"affiliations":[{"raw_affiliation_string":"Weifang Univ. (China)","institution_ids":["https://openalex.org/I66883779"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013880322","display_name":"Guan Feng-nian","orcid":null},"institutions":[{"id":"https://openalex.org/I66883779","display_name":"Weifang University","ror":"https://ror.org/01frp7483","country_code":"CN","type":"education","lineage":["https://openalex.org/I66883779"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fengnian Guan","raw_affiliation_strings":["Weifang Univ. (China)"],"affiliations":[{"raw_affiliation_string":"Weifang Univ. (China)","institution_ids":["https://openalex.org/I66883779"]}]},{"author_position":"last","author":{"id":null,"display_name":"Lin Feng","orcid":null},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Feng","raw_affiliation_strings":["Hefei Univ. of Technology (China)"],"affiliations":[{"raw_affiliation_string":"Hefei Univ. of Technology (China)","institution_ids":["https://openalex.org/I16365422"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100603827"],"corresponding_institution_ids":["https://openalex.org/I66883779"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.03236691,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"35","issue":null,"first_page":"10","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9983999729156494,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9983999729156494,"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":0.9980999827384949,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9965999722480774,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6672329902648926},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.6565355062484741},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6281026601791382},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6193966269493103},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6151440739631653},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5872516632080078},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.543612003326416},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5050185322761536},{"id":"https://openalex.org/keywords/particle","display_name":"Particle (ecology)","score":0.4266386032104492},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35812878608703613},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32748448848724365},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26208680868148804},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.15316036343574524}],"concepts":[{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6672329902648926},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.6565355062484741},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6281026601791382},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6193966269493103},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6151440739631653},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5872516632080078},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.543612003326416},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5050185322761536},{"id":"https://openalex.org/C2778517922","wikidata":"https://www.wikidata.org/wiki/Q7140482","display_name":"Particle (ecology)","level":2,"score":0.4266386032104492},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35812878608703613},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32748448848724365},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26208680868148804},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.15316036343574524},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2309453","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2309453","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Tenth International Conference on Machine Vision (ICMV 2017)","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":14,"referenced_works":["https://openalex.org/W47906503","https://openalex.org/W1977559714","https://openalex.org/W2015706984","https://openalex.org/W2031983878","https://openalex.org/W2044562217","https://openalex.org/W2052251435","https://openalex.org/W2080039100","https://openalex.org/W2109517492","https://openalex.org/W2123269393","https://openalex.org/W2576444478","https://openalex.org/W2587136665","https://openalex.org/W2590498298","https://openalex.org/W6601886608","https://openalex.org/W6676406579"],"related_works":["https://openalex.org/W3135697610","https://openalex.org/W2085033728","https://openalex.org/W4285411112","https://openalex.org/W2171299904","https://openalex.org/W1647606319","https://openalex.org/W2922442631","https://openalex.org/W4390494008","https://openalex.org/W2053596378","https://openalex.org/W2168523118","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Particles":[0],"adhered":[1],"together":[2],"will":[3],"influence":[4],"the":[5,44,48,53,60,67,72,96],"image":[6,39],"analysis":[7],"in":[8],"computer":[9],"vision":[10],"system.":[11],"In":[12],"this":[13,88],"paper,":[14],"a":[15,31],"method":[16],"based":[17],"on":[18],"concave":[19,36],"point":[20],"is":[21,27],"designed.":[22],"First,":[23],"corner":[24],"detection":[25],"algorithm":[26],"adopted":[28],"to":[29,50,70],"obtain":[30],"rough":[32],"estimation":[33],"of":[34,47,63],"potential":[35],"points":[37,62],"after":[38],"segmentation.":[40],"Then,":[41],"it":[42,58],"computes":[43],"area":[45],"ratio":[46],"candidates":[49],"accurately":[51],"localize":[52],"final":[54],"separation":[55,61],"points.":[56],"Finally,":[57],"uses":[59],"each":[64],"particle":[65],"and":[66,77],"neighboring":[68],"pixels":[69],"estimate":[71],"original":[73],"particles":[74],"before":[75],"adhesion":[76],"provides":[78],"estimated":[79],"profile":[80],"images.":[81],"The":[82],"experimental":[83],"results":[84,93],"have":[85],"shown":[86],"that":[87,94],"approach":[89],"can":[90],"provide":[91],"good":[92],"match":[95],"human":[97],"visual":[98],"cognitive":[99],"mechanism.":[100]},"counts_by_year":[],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}