{"id":"https://openalex.org/W2892375674","doi":"https://doi.org/10.23919/icif.2018.8455753","title":"Color Image Segmentation Based on Evidence Theory and Two-Dimensional Histogram","display_name":"Color Image Segmentation Based on Evidence Theory and Two-Dimensional Histogram","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2892375674","doi":"https://doi.org/10.23919/icif.2018.8455753","mag":"2892375674"},"language":"en","primary_location":{"id":"doi:10.23919/icif.2018.8455753","is_oa":false,"landing_page_url":"https://doi.org/10.23919/icif.2018.8455753","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 21st International Conference on Information Fusion (FUSION)","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/A5100351175","display_name":"Yan Liu","orcid":"https://orcid.org/0000-0003-4242-4840"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yan Liu","raw_affiliation_strings":["Inst. of Integrated Automation, Xian Jiaotong University, Xian, Shaanxi, China"],"affiliations":[{"raw_affiliation_string":"Inst. of Integrated Automation, Xian Jiaotong University, Xian, Shaanxi, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024649502","display_name":"Deqiang Han","orcid":"https://orcid.org/0000-0001-5603-796X"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Deqiang Han","raw_affiliation_strings":["Inst. of Integrated Automation, Xian Jiaotong University, Xian, Shaanxi, China"],"affiliations":[{"raw_affiliation_string":"Inst. of Integrated Automation, Xian Jiaotong University, Xian, Shaanxi, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100786749","display_name":"Zhe Zhang","orcid":"https://orcid.org/0000-0003-0886-4412"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhe Zhang","raw_affiliation_strings":["Inst. of Integrated Automation, Xian Jiaotong University, Xian, Shaanxi, China"],"affiliations":[{"raw_affiliation_string":"Inst. of Integrated Automation, Xian Jiaotong University, Xian, Shaanxi, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100444142","display_name":"Weifeng Liu","orcid":"https://orcid.org/0000-0001-9537-8767"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weifeng Liu","raw_affiliation_strings":["School of Automation, Hangzhou Dianzi University, Hangzhou, Zhejiang, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Hangzhou Dianzi University, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101421860","display_name":"Feihu Zhang","orcid":"https://orcid.org/0000-0002-1774-727X"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feihu Zhang","raw_affiliation_strings":["School of Marine Sci. and Tech., Northwestern Polytechnical Univ., Xian, Shaanxi, China"],"affiliations":[{"raw_affiliation_string":"School of Marine Sci. and Tech., Northwestern Polytechnical Univ., Xian, Shaanxi, China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100351175"],"corresponding_institution_ids":["https://openalex.org/I87445476"],"apc_list":null,"apc_paid":null,"fwci":0.1045,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.45044288,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"927","last_page":"932"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9962000250816345,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9962000250816345,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9932000041007996,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9929999709129333,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.818401575088501},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.7156466245651245},{"id":"https://openalex.org/keywords/image-histogram","display_name":"Image histogram","score":0.6618157625198364},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.6558185815811157},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6551209688186646},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.6289780139923096},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6164741516113281},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5749064087867737},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.5704776048660278},{"id":"https://openalex.org/keywords/region-growing","display_name":"Region growing","score":0.5297387838363647},{"id":"https://openalex.org/keywords/binary-image","display_name":"Binary image","score":0.5289143323898315},{"id":"https://openalex.org/keywords/color-histogram","display_name":"Color histogram","score":0.5185009241104126},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.5028190016746521},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.502805233001709},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.48017993569374084},{"id":"https://openalex.org/keywords/range-segmentation","display_name":"Range segmentation","score":0.45591530203819275},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.41251397132873535},{"id":"https://openalex.org/keywords/color-image","display_name":"Color image","score":0.36325085163116455},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3411221504211426}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.818401575088501},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.7156466245651245},{"id":"https://openalex.org/C62725073","wikidata":"https://www.wikidata.org/wiki/Q1771663","display_name":"Image histogram","level":5,"score":0.6618157625198364},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.6558185815811157},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6551209688186646},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.6289780139923096},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6164741516113281},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5749064087867737},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.5704776048660278},{"id":"https://openalex.org/C206824153","wikidata":"https://www.wikidata.org/wiki/Q1169834","display_name":"Region growing","level":5,"score":0.5297387838363647},{"id":"https://openalex.org/C193828747","wikidata":"https://www.wikidata.org/wiki/Q864118","display_name":"Binary image","level":4,"score":0.5289143323898315},{"id":"https://openalex.org/C12043971","wikidata":"https://www.wikidata.org/wiki/Q2636542","display_name":"Color histogram","level":5,"score":0.5185009241104126},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.5028190016746521},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.502805233001709},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.48017993569374084},{"id":"https://openalex.org/C67561299","wikidata":"https://www.wikidata.org/wiki/Q7292710","display_name":"Range segmentation","level":5,"score":0.45591530203819275},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.41251397132873535},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.36325085163116455},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3411221504211426}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/icif.2018.8455753","is_oa":false,"landing_page_url":"https://doi.org/10.23919/icif.2018.8455753","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 21st International Conference on Information Fusion (FUSION)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6499999761581421,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1877528498","https://openalex.org/W1970800786","https://openalex.org/W1978627835","https://openalex.org/W2066843515","https://openalex.org/W2097514097","https://openalex.org/W2104635922","https://openalex.org/W2105437676","https://openalex.org/W2117079761","https://openalex.org/W2129872026","https://openalex.org/W2133059825","https://openalex.org/W2138604203","https://openalex.org/W2154599171","https://openalex.org/W2169099300","https://openalex.org/W2292893505","https://openalex.org/W2373757535","https://openalex.org/W2382403332","https://openalex.org/W3142240882","https://openalex.org/W4255252029","https://openalex.org/W4285719527","https://openalex.org/W6675831742","https://openalex.org/W6697071573","https://openalex.org/W7065659329"],"related_works":["https://openalex.org/W3155984174","https://openalex.org/W2946366565","https://openalex.org/W2059962959","https://openalex.org/W2351069687","https://openalex.org/W2161860676","https://openalex.org/W2373254813","https://openalex.org/W2500384941","https://openalex.org/W2377964619","https://openalex.org/W1962532337","https://openalex.org/W1819671704"],"abstract_inverted_index":{"Image":[0,14],"segmentation":[1,15,67],"is":[2,42,50],"one":[3],"of":[4],"the":[5,23,34,38,54,57,82,94,103,111],"most":[6],"important":[7],"tasks":[8],"in":[9],"image":[10,35,71,97],"processing":[11],"and":[12,84],"recognition.":[13],"based":[16,72],"on":[17,73],"two-dimensional":[18,113],"histogram":[19,114],"considers":[20],"not":[21],"only":[22],"target":[24],"pixel":[25],"information":[26,74],"but":[27],"also":[28],"its":[29],"neighborhood":[30],"information.":[31],"It":[32],"segments":[33],"according":[36],"to":[37,80,92],"calculated":[39],"threshold,":[40],"which":[41],"a":[43,64],"hard":[44],"decision":[45],"method":[46,68,105],"actually.":[47],"However,":[48],"there":[49],"uncertainty":[51,83],"when":[52],"labeling":[53],"pixels":[55],"around":[56],"threshold.":[58],"In":[59],"this":[60],"paper,":[61],"we":[62],"propose":[63],"new":[65],"binary":[66],"for":[69],"color":[70,96],"fusion.":[75],"We":[76],"use":[77,85],"two":[78],"thresholds":[79],"model":[81],"Cautious":[86],"OWA":[87],"with":[88,110],"evidential":[89],"reasoning":[90],"(COWA-ER)":[91],"implement":[93],"fusion-based":[95],"segmentation.":[98],"Experimental":[99],"results":[100],"show":[101],"that":[102],"proposed":[104],"achieves":[106],"better":[107],"performance":[108],"compared":[109],"traditional":[112],"method.":[115]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}