{"id":"https://openalex.org/W2980651313","doi":"https://doi.org/10.1109/aim.2019.8868517","title":"Underwater Cage Boundary Detection Based on GLCM Features by Using SVM Classifier","display_name":"Underwater Cage Boundary Detection Based on GLCM Features by Using SVM Classifier","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2980651313","doi":"https://doi.org/10.1109/aim.2019.8868517","mag":"2980651313"},"language":"en","primary_location":{"id":"doi:10.1109/aim.2019.8868517","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aim.2019.8868517","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM)","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/A5080446848","display_name":"Xiaoting Shi","orcid":null},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaoting Shi","raw_affiliation_strings":["National Key Laboratory of Science and Technology on Underwater Vehicle, Harbin Engineering University, Harbin, Heilongjiang province, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Science and Technology on Underwater Vehicle, Harbin Engineering University, Harbin, Heilongjiang province, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028027471","display_name":"Hai Huang","orcid":"https://orcid.org/0000-0001-7764-0442"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hai Huang","raw_affiliation_strings":["National Key Laboratory of Science and Technology on Underwater Vehicle, Harbin Engineering University, Harbin, Heilongjiang province, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Science and Technology on Underwater Vehicle, Harbin Engineering University, Harbin, Heilongjiang province, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102811806","display_name":"Bo Wang","orcid":"https://orcid.org/0000-0002-4983-7288"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Wang","raw_affiliation_strings":["National Key Laboratory of Science and Technology on Underwater Vehicle, Harbin Engineering University, Harbin, Heilongjiang province, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Science and Technology on Underwater Vehicle, Harbin Engineering University, Harbin, Heilongjiang province, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062880210","display_name":"Shuo Pang","orcid":"https://orcid.org/0000-0002-4113-7084"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuo Pang","raw_affiliation_strings":["National Key Laboratory of Science and Technology on Underwater Vehicle, Harbin Engineering University, Harbin, Heilongjiang province, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Science and Technology on Underwater Vehicle, Harbin Engineering University, Harbin, Heilongjiang province, China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076687329","display_name":"Hongde Qin","orcid":"https://orcid.org/0000-0002-9794-4491"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongde Qin","raw_affiliation_strings":["National Key Laboratory of Science and Technology on Underwater Vehicle, Harbin Engineering University, Harbin, Heilongjiang province, China"],"affiliations":[{"raw_affiliation_string":"National Key Laboratory of Science and Technology on Underwater Vehicle, Harbin Engineering University, Harbin, Heilongjiang province, China","institution_ids":["https://openalex.org/I151727225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5080446848"],"corresponding_institution_ids":["https://openalex.org/I151727225"],"apc_list":null,"apc_paid":null,"fwci":0.2176,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.60742977,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1169","last_page":"1174"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12697","display_name":"Water Quality Monitoring Technologies","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12697","display_name":"Water Quality Monitoring Technologies","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12388","display_name":"Identification and Quantification in Food","score":0.9567000269889832,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11698","display_name":"Underwater Acoustics Research","score":0.9480999708175659,"subfield":{"id":"https://openalex.org/subfields/1910","display_name":"Oceanography"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7719627022743225},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6926792860031128},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.650728702545166},{"id":"https://openalex.org/keywords/underwater","display_name":"Underwater","score":0.6345435380935669},{"id":"https://openalex.org/keywords/co-occurrence-matrix","display_name":"Co-occurrence matrix","score":0.6001455783843994},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5962175726890564},{"id":"https://openalex.org/keywords/landmark","display_name":"Landmark","score":0.5217722058296204},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5203275680541992},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.44798025488853455},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.43026983737945557},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.39235320687294006},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2064685821533203},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.10232135653495789},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.1005522608757019}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7719627022743225},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6926792860031128},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.650728702545166},{"id":"https://openalex.org/C98083399","wikidata":"https://www.wikidata.org/wiki/Q3246517","display_name":"Underwater","level":2,"score":0.6345435380935669},{"id":"https://openalex.org/C117479156","wikidata":"https://www.wikidata.org/wiki/Q1543908","display_name":"Co-occurrence matrix","level":5,"score":0.6001455783843994},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5962175726890564},{"id":"https://openalex.org/C2780297707","wikidata":"https://www.wikidata.org/wiki/Q4895393","display_name":"Landmark","level":2,"score":0.5217722058296204},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5203275680541992},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.44798025488853455},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.43026983737945557},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.39235320687294006},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2064685821533203},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.10232135653495789},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.1005522608757019},{"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/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/aim.2019.8868517","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aim.2019.8868517","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8600000143051147,"display_name":"Life below water","id":"https://metadata.un.org/sdg/14"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1880827259","https://openalex.org/W1967320614","https://openalex.org/W1974447624","https://openalex.org/W2003304826","https://openalex.org/W2041525275","https://openalex.org/W2075979125","https://openalex.org/W2117395697","https://openalex.org/W2124351082","https://openalex.org/W2135788072","https://openalex.org/W2140569042","https://openalex.org/W2143956771","https://openalex.org/W2153493073","https://openalex.org/W2169990106","https://openalex.org/W2376510546","https://openalex.org/W2387889593","https://openalex.org/W2387924734","https://openalex.org/W2545450818","https://openalex.org/W2553942279","https://openalex.org/W2593945244","https://openalex.org/W6642001646","https://openalex.org/W6678440496","https://openalex.org/W6734185256","https://openalex.org/W7000712433"],"related_works":["https://openalex.org/W2056853153","https://openalex.org/W2057559274","https://openalex.org/W2005087563","https://openalex.org/W2378111931","https://openalex.org/W4243161226","https://openalex.org/W2052388267","https://openalex.org/W2950647290","https://openalex.org/W2620829895","https://openalex.org/W2380495833","https://openalex.org/W2112223184"],"abstract_inverted_index":{"Underwater":[0],"vehicle":[1,18,46],"plays":[2],"an":[3,54],"indispensable":[4],"role":[5],"in":[6],"marine":[7],"observation":[8],"and":[9,47,88,101,113],"biological":[10],"fishing":[11],"operations":[12],"for":[13,120,139],"cage":[14,22,57,86],"culture.":[15],"If":[16],"underwater":[17],"could":[19],"identify":[20],"the":[21,28,37,42,45,85,115,121],"boundary":[23,58],"autonomously,":[24],"it":[25],"can":[26],"plan":[27],"route":[29],"ahead":[30],"of":[31,44],"time":[32],"to":[33],"avoid":[34],"colliding":[35],"with":[36,110],"cage,":[38],"which":[39],"greatly":[40],"improves":[41],"efficiency":[43],"ensure":[48],"its":[49],"safety.":[50],"This":[51],"paper":[52],"proposes":[53],"automatic":[55],"Identifying":[56],"technology":[59],"based":[60],"on":[61,73],"a":[62],"Gray":[63,77],"Level":[64,78],"Co-occurrence":[65,79],"Matrix":[66,80],"by":[67],"Support":[68,103],"Vector":[69,104],"Machine":[70,105],"Classifier.":[71],"Based":[72],"rich":[74],"textural":[75],"features,":[76],"(GLCM)":[81],"was":[82,130],"extracted":[83],"from":[84],"image":[87],"then":[89,114],"calculate":[90],"GLCM":[91],"features":[92,112],"including":[93],"energy,":[94],"contrast,":[95],"entropy,":[96],"inverse":[97],"different":[98],"moment,":[99],"correlation,":[100],"Homogeneity.":[102],"(SVM)":[106],"classifier":[107],"is":[108],"trained":[109],"these":[111],"classified":[116],"results":[117],"were":[118],"obtained":[119],"query":[122],"images.":[123],"The":[124],"experiments":[125],"show":[126],"classification":[127],"accuracy":[128],"rate":[129],"enough":[131,136],"high":[132],"if":[133],"there":[134],"are":[135],"training":[137,141],"samples":[138],"building":[140],"model.":[142]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2}],"updated_date":"2026-02-27T16:54:17.756197","created_date":"2025-10-10T00:00:00"}
