{"id":"https://openalex.org/W2051615780","doi":"https://doi.org/10.1109/icip.2011.6116148","title":"A new information fusion approach for image segmentation","display_name":"A new information fusion approach for image segmentation","publication_year":2011,"publication_date":"2011-09-01","ids":{"openalex":"https://openalex.org/W2051615780","doi":"https://doi.org/10.1109/icip.2011.6116148","mag":"2051615780"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2011.6116148","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2011.6116148","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 18th IEEE International Conference on Image Processing","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/A5103231784","display_name":"Wentao Xu","orcid":"https://orcid.org/0000-0003-0679-1213"},"institutions":[{"id":"https://openalex.org/I76835614","display_name":"University of Missouri","ror":"https://ror.org/02ymw8z06","country_code":"US","type":"education","lineage":["https://openalex.org/I76835614"]},{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN","US"],"is_corresponding":true,"raw_author_name":"Wentao Xu","raw_affiliation_strings":["Computer Science Department, East China Jiao Tong University, Shanghai, China","Computer Science Department, University of Missouri-Columbia, MO, USA"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, East China Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Computer Science Department, University of Missouri-Columbia, MO, USA","institution_ids":["https://openalex.org/I76835614"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090307755","display_name":"Ratchadaporn Kanawong","orcid":null},"institutions":[{"id":"https://openalex.org/I76835614","display_name":"University of Missouri","ror":"https://ror.org/02ymw8z06","country_code":"US","type":"education","lineage":["https://openalex.org/I76835614"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ratchadaporn Kanawong","raw_affiliation_strings":["Computer Science Department, University of Missouri-Columbia, MO, USA"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, University of Missouri-Columbia, MO, USA","institution_ids":["https://openalex.org/I76835614"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101430356","display_name":"Ye Duan","orcid":"https://orcid.org/0000-0002-1166-7703"},"institutions":[{"id":"https://openalex.org/I76835614","display_name":"University of Missouri","ror":"https://ror.org/02ymw8z06","country_code":"US","type":"education","lineage":["https://openalex.org/I76835614"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ye Duan","raw_affiliation_strings":["Computer Science Department, University of Missouri-Columbia, MO, USA"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, University of Missouri-Columbia, MO, USA","institution_ids":["https://openalex.org/I76835614"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060120202","display_name":"Guixu Zhang","orcid":"https://orcid.org/0000-0003-4720-6607"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guixu Zhang","raw_affiliation_strings":["Computer Science Department, East China Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, East China Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5103231784"],"corresponding_institution_ids":["https://openalex.org/I76835614","https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":0.255804,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.57242971,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"19","issue":null,"first_page":"2873","last_page":"2876"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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":0.9961000084877014,"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/image-segmentation","display_name":"Image segmentation","score":0.7121490836143494},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.681496798992157},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6645470857620239},{"id":"https://openalex.org/keywords/fuse","display_name":"Fuse (electrical)","score":0.6246140003204346},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.6074937582015991},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.5680615901947021},{"id":"https://openalex.org/keywords/image-fusion","display_name":"Image fusion","score":0.5444633960723877},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5436598062515259},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.5364445447921753},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5208321809768677},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5114066004753113},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5039533972740173},{"id":"https://openalex.org/keywords/canny-edge-detector","display_name":"Canny edge detector","score":0.49480146169662476},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46615561842918396},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.4461204707622528},{"id":"https://openalex.org/keywords/mean-shift","display_name":"Mean-shift","score":0.41398513317108154},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.23638421297073364},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17366516590118408}],"concepts":[{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.7121490836143494},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.681496798992157},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6645470857620239},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.6246140003204346},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.6074937582015991},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.5680615901947021},{"id":"https://openalex.org/C69744172","wikidata":"https://www.wikidata.org/wiki/Q860822","display_name":"Image fusion","level":3,"score":0.5444633960723877},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5436598062515259},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.5364445447921753},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5208321809768677},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5114066004753113},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5039533972740173},{"id":"https://openalex.org/C14705441","wikidata":"https://www.wikidata.org/wiki/Q597183","display_name":"Canny edge detector","level":5,"score":0.49480146169662476},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46615561842918396},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.4461204707622528},{"id":"https://openalex.org/C48548287","wikidata":"https://www.wikidata.org/wiki/Q6803557","display_name":"Mean-shift","level":3,"score":0.41398513317108154},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.23638421297073364},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17366516590118408},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2011.6116148","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2011.6116148","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 18th IEEE International Conference on Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5899999737739563,"id":"https://metadata.un.org/sdg/14","display_name":"Life below water"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W174847762","https://openalex.org/W1532283321","https://openalex.org/W1608008825","https://openalex.org/W2023297597","https://openalex.org/W2067191022","https://openalex.org/W2096987457","https://openalex.org/W2104019579","https://openalex.org/W2104095591","https://openalex.org/W2120777512","https://openalex.org/W2125315716","https://openalex.org/W2128012355","https://openalex.org/W2131312328","https://openalex.org/W2145023731","https://openalex.org/W2148107745","https://openalex.org/W2163818882","https://openalex.org/W2166049352","https://openalex.org/W2188345459","https://openalex.org/W6607071220"],"related_works":["https://openalex.org/W3000097931","https://openalex.org/W2354322770","https://openalex.org/W4237547500","https://openalex.org/W1570848052","https://openalex.org/W2095903272","https://openalex.org/W2391745328","https://openalex.org/W2365032270","https://openalex.org/W2554790198","https://openalex.org/W2370307590","https://openalex.org/W1985909722"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3,22],"propose":[4],"a":[5],"new":[6,70],"hybrid":[7],"image":[8],"segmentation":[9,80],"algorithm":[10,56,71],"that":[11,34],"integrate":[12],"the":[13,17,30,37,40,46,61,69],"region-based":[14,41],"method":[15,44],"with":[16,45],"boundary-based":[18,47],"method.":[19],"More":[20],"specifically":[21],"take":[23],"an":[24],"information":[25,38],"fusion":[26],"approach":[27],"based":[28],"on":[29,57],"Tensor":[31],"Voting":[32],"framework":[33],"seamlessly":[35],"fuse":[36],"from":[39,60],"Mean":[42],"Shift":[43],"Canny":[48],"Edge":[49],"Detection":[50],"algorithm.":[51],"We":[52],"have":[53],"tested":[54],"our":[55],"several":[58],"images":[59],"Caltech":[62],"101":[63],"database":[64],"[18].":[65],"Experiments":[66],"results":[67],"show":[68],"is":[72],"very":[73,78],"efficient":[74],"and":[75],"can":[76],"achieve":[77],"good":[79],"results.":[81]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
