{"id":"https://openalex.org/W2033367204","doi":"https://doi.org/10.1109/lgrs.2013.2272574","title":"Optimization of Segmentation Algorithms Through Mean-Shift Filtering Preprocessing","display_name":"Optimization of Segmentation Algorithms Through Mean-Shift Filtering Preprocessing","publication_year":2013,"publication_date":"2013-07-24","ids":{"openalex":"https://openalex.org/W2033367204","doi":"https://doi.org/10.1109/lgrs.2013.2272574","mag":"2033367204"},"language":"en","primary_location":{"id":"doi:10.1109/lgrs.2013.2272574","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2013.2272574","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Geoscience and Remote Sensing Letters","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/A5108980607","display_name":"Leiguang Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I25399270","display_name":"Southwest Forestry University","ror":"https://ror.org/03dfa9f06","country_code":"CN","type":"education","lineage":["https://openalex.org/I25399270"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Leiguang Wang","raw_affiliation_strings":["Southwest Forestry University, Kunming, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southwest Forestry University, Kunming, China","institution_ids":["https://openalex.org/I25399270"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042752562","display_name":"Guoying Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210117382","display_name":"Anyang Normal University","ror":"https://ror.org/02g9nss57","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210117382"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoying Liu","raw_affiliation_strings":["Anyang Normal University, Anyang, China","Anyang Normal Univ., Anyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Anyang Normal University, Anyang, China","institution_ids":["https://openalex.org/I4210117382"]},{"raw_affiliation_string":"Anyang Normal Univ., Anyang, China","institution_ids":["https://openalex.org/I4210117382"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5114137440","display_name":"Qinling Dai","orcid":null},"institutions":[{"id":"https://openalex.org/I25399270","display_name":"Southwest Forestry University","ror":"https://ror.org/03dfa9f06","country_code":"CN","type":"education","lineage":["https://openalex.org/I25399270"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qinling Dai","raw_affiliation_strings":["Southwest Forestry University, Kunming, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Southwest Forestry University, Kunming, China","institution_ids":["https://openalex.org/I25399270"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3599,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.83502735,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"11","issue":"3","first_page":"622","last_page":"626"},"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":0.9988999962806702,"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":0.9988999962806702,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9988999962806702,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.998199999332428,"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/computer-science","display_name":"Computer science","score":0.6871949434280396},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5988044142723083},{"id":"https://openalex.org/keywords/mean-shift","display_name":"Mean-shift","score":0.5794183015823364},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5617943406105042},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5278071165084839},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4755118489265442},{"id":"https://openalex.org/keywords/algorithm-design","display_name":"Algorithm design","score":0.4533918499946594},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44614145159721375},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40365615487098694}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6871949434280396},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5988044142723083},{"id":"https://openalex.org/C48548287","wikidata":"https://www.wikidata.org/wiki/Q6803557","display_name":"Mean-shift","level":3,"score":0.5794183015823364},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5617943406105042},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5278071165084839},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4755118489265442},{"id":"https://openalex.org/C106516650","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm design","level":2,"score":0.4533918499946594},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44614145159721375},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40365615487098694}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lgrs.2013.2272574","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lgrs.2013.2272574","pdf_url":null,"source":{"id":"https://openalex.org/S126920919","display_name":"IEEE Geoscience and Remote Sensing Letters","issn_l":"1545-598X","issn":["1545-598X","1558-0571"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Geoscience and Remote Sensing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1964111306","https://openalex.org/W1998598901","https://openalex.org/W2028546171","https://openalex.org/W2041373047","https://openalex.org/W2061460106","https://openalex.org/W2063113990","https://openalex.org/W2067191022","https://openalex.org/W2077375588","https://openalex.org/W2100435576","https://openalex.org/W2119823327","https://openalex.org/W2121927366","https://openalex.org/W2122069218","https://openalex.org/W2135431554","https://openalex.org/W2153635508","https://openalex.org/W2171033594","https://openalex.org/W2243481691","https://openalex.org/W2325171775"],"related_works":["https://openalex.org/W3006377637","https://openalex.org/W1582206143","https://openalex.org/W2897195263","https://openalex.org/W1195339338","https://openalex.org/W2005476934","https://openalex.org/W2959862648","https://openalex.org/W2293427835","https://openalex.org/W2146083799","https://openalex.org/W1974884835","https://openalex.org/W4206457735"],"abstract_inverted_index":{"This":[0],"letter":[1],"proposes":[2],"an":[3,88,95],"improved":[4],"mean-shift":[5,63],"filtering":[6,64],"method.":[7],"The":[8],"method":[9],"is":[10,46,75,85,92],"added":[11],"as":[12],"a":[13,26,34,99,121],"preprocessing":[14],"step":[15],"for":[16,108],"regional":[17],"segmentation":[18,78,104,124],"methods,":[19],"which":[20,91],"aims":[21],"at":[22],"benefiting":[23],"segmentations":[24],"in":[25,61],"more":[27],"general":[28],"way.":[29],"Using":[30],"this":[31],"method,":[32],"first,":[33],"logistic":[35],"regression":[36,83],"model":[37,56,84],"between":[38],"two":[39],"edge":[40],"cues":[41],"and":[42,57,98,112,126],"semantic":[43],"object":[44],"boundaries":[45],"established.":[47],"Then,":[48],"boundary":[49],"posterior":[50],"probabilities":[51],"are":[52,106],"predicted":[53],"by":[54],"the":[55,62,67,72,82,117],"associated":[58],"with":[59,87,94],"weights":[60],"iteration.":[65],"Finally,":[66],"filtered":[68],"image,":[69,74,90],"instead":[70],"of":[71],"original":[73],"put":[76],"into":[77],"methods.":[79],"In":[80],"experiments,":[81],"trained":[86],"aerial":[89,96],"tested":[93],"image":[97,123],"QuickBird":[100],"image.":[101],"Two":[102],"popular":[103],"methods":[105],"adopted":[107],"evaluations.":[109],"Both":[110],"quantitative":[111],"qualitative":[113],"evaluations":[114],"reveal":[115],"that":[116],"presented":[118],"procedure":[119],"facilitates":[120],"superior":[122],"result":[125],"higher":[127],"classification":[128],"accuracy.":[129]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
