{"id":"https://openalex.org/W2016293927","doi":"https://doi.org/10.1109/ipta.2014.7001933","title":"Affiliation possibility map filtering for image segmentation improvement","display_name":"Affiliation possibility map filtering for image segmentation improvement","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W2016293927","doi":"https://doi.org/10.1109/ipta.2014.7001933","mag":"2016293927"},"language":"en","primary_location":{"id":"doi:10.1109/ipta.2014.7001933","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipta.2014.7001933","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 4th International Conference on Image Processing Theory, Tools and Applications (IPTA)","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/A5036790994","display_name":"Karel Mozd\u0159e\u0148","orcid":"https://orcid.org/0000-0003-3342-4494"},"institutions":[{"id":"https://openalex.org/I142208455","display_name":"VSB - Technical University of Ostrava","ror":"https://ror.org/05x8mcb75","country_code":"CZ","type":"education","lineage":["https://openalex.org/I142208455"]}],"countries":["CZ"],"is_corresponding":true,"raw_author_name":"Karel Mozdren","raw_affiliation_strings":["V B-Technical University of Ostrava, FEECS, Czech Republic","V\u0160B-Technical University of Ostrava, FEECS, 17. listopadu 15/2172, 708 33, Czech Republic"],"affiliations":[{"raw_affiliation_string":"V B-Technical University of Ostrava, FEECS, Czech Republic","institution_ids":["https://openalex.org/I142208455"]},{"raw_affiliation_string":"V\u0160B-Technical University of Ostrava, FEECS, 17. listopadu 15/2172, 708 33, Czech Republic","institution_ids":["https://openalex.org/I142208455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113479079","display_name":"Eduard Sojka","orcid":null},"institutions":[{"id":"https://openalex.org/I142208455","display_name":"VSB - Technical University of Ostrava","ror":"https://ror.org/05x8mcb75","country_code":"CZ","type":"education","lineage":["https://openalex.org/I142208455"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Eduard Sojka","raw_affiliation_strings":["V B-Technical University of Ostrava, FEECS, Czech Republic","V\u0160B-Technical University of Ostrava, FEECS, 17. listopadu 15/2172, 708 33, Czech Republic"],"affiliations":[{"raw_affiliation_string":"V B-Technical University of Ostrava, FEECS, Czech Republic","institution_ids":["https://openalex.org/I142208455"]},{"raw_affiliation_string":"V\u0160B-Technical University of Ostrava, FEECS, 17. listopadu 15/2172, 708 33, Czech Republic","institution_ids":["https://openalex.org/I142208455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061731826","display_name":"Milan \u0160urkala","orcid":null},"institutions":[{"id":"https://openalex.org/I142208455","display_name":"VSB - Technical University of Ostrava","ror":"https://ror.org/05x8mcb75","country_code":"CZ","type":"education","lineage":["https://openalex.org/I142208455"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Milan Surkala","raw_affiliation_strings":["V\u0160B-Technical University of Ostrava, FEECS, 17. listopadu 15/2172, 708 33, Czech Republic"],"affiliations":[{"raw_affiliation_string":"V\u0160B-Technical University of Ostrava, FEECS, 17. listopadu 15/2172, 708 33, Czech Republic","institution_ids":["https://openalex.org/I142208455"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021785261","display_name":"Radovan Fusek","orcid":"https://orcid.org/0000-0003-3004-9393"},"institutions":[{"id":"https://openalex.org/I142208455","display_name":"VSB - Technical University of Ostrava","ror":"https://ror.org/05x8mcb75","country_code":"CZ","type":"education","lineage":["https://openalex.org/I142208455"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Radovan Fusek","raw_affiliation_strings":["V B-Technical University of Ostrava, FEECS, Czech Republic","V\u0160B-Technical University of Ostrava, FEECS, 17. listopadu 15/2172, 708 33, Czech Republic"],"affiliations":[{"raw_affiliation_string":"V B-Technical University of Ostrava, FEECS, Czech Republic","institution_ids":["https://openalex.org/I142208455"]},{"raw_affiliation_string":"V\u0160B-Technical University of Ostrava, FEECS, 17. listopadu 15/2172, 708 33, Czech Republic","institution_ids":["https://openalex.org/I142208455"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5036790994"],"corresponding_institution_ids":["https://openalex.org/I142208455"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08766955,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"1","last_page":"6"},"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":0.9998000264167786,"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/T10627","display_name":"Advanced Image and Video Retrieval 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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9997000098228455,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9990000128746033,"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/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.823353111743927},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8217287659645081},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.8101417422294617},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.7707316875457764},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7346693873405457},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7082691192626953},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.706233561038971},{"id":"https://openalex.org/keywords/minimum-spanning-tree-based-segmentation","display_name":"Minimum spanning tree-based segmentation","score":0.5768157243728638},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.5576300621032715},{"id":"https://openalex.org/keywords/range-segmentation","display_name":"Range segmentation","score":0.5443874597549438},{"id":"https://openalex.org/keywords/region-growing","display_name":"Region growing","score":0.5342800617218018},{"id":"https://openalex.org/keywords/background-subtraction","display_name":"Background subtraction","score":0.48372605443000793},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4834243059158325},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4499260187149048},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.11786720156669617}],"concepts":[{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.823353111743927},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8217287659645081},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.8101417422294617},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.7707316875457764},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7346693873405457},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7082691192626953},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.706233561038971},{"id":"https://openalex.org/C42314347","wikidata":"https://www.wikidata.org/wiki/Q6865488","display_name":"Minimum spanning tree-based segmentation","level":5,"score":0.5768157243728638},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.5576300621032715},{"id":"https://openalex.org/C67561299","wikidata":"https://www.wikidata.org/wiki/Q7292710","display_name":"Range segmentation","level":5,"score":0.5443874597549438},{"id":"https://openalex.org/C206824153","wikidata":"https://www.wikidata.org/wiki/Q1169834","display_name":"Region growing","level":5,"score":0.5342800617218018},{"id":"https://openalex.org/C32653426","wikidata":"https://www.wikidata.org/wiki/Q3813641","display_name":"Background subtraction","level":3,"score":0.48372605443000793},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4834243059158325},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4499260187149048},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.11786720156669617}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ipta.2014.7001933","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipta.2014.7001933","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 4th International Conference on Image Processing Theory, Tools and Applications (IPTA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W46659105","https://openalex.org/W107968503","https://openalex.org/W1979393293","https://openalex.org/W2083277843","https://openalex.org/W2102625004","https://openalex.org/W2104095591","https://openalex.org/W2121927366","https://openalex.org/W2127218421","https://openalex.org/W2140235142","https://openalex.org/W2148725503","https://openalex.org/W2150134853","https://openalex.org/W4253920039","https://openalex.org/W6678914141"],"related_works":["https://openalex.org/W2551987074","https://openalex.org/W2394279717","https://openalex.org/W4391423722","https://openalex.org/W2553765490","https://openalex.org/W3152412130","https://openalex.org/W2531745538","https://openalex.org/W4386493545","https://openalex.org/W2183699493","https://openalex.org/W3144569342","https://openalex.org/W2372421320"],"abstract_inverted_index":{"Image":[0],"segmentation":[1,13,44,48,70,88],"is":[2,14],"an":[3],"important":[4],"task":[5,10],"in":[6],"computer":[7],"vision.":[8],"The":[9,37],"of":[11,25,40,42],"image":[12,17,27,69,87],"to":[15],"portion":[16],"into":[18],"segments,":[19,56],"thus":[20],"provide":[21],"more":[22],"meaningful":[23],"information":[24],"the":[26,43],"contents.":[28],"Many":[29],"methods":[30,89],"have":[31],"been":[32],"developed":[33],"for":[34,68],"numerous":[35],"application.":[36],"common":[38],"problems":[39],"most":[41],"techniques":[45],"are":[46],"scattered":[47],"lines,":[49],"too":[50],"much":[51],"details,":[52],"small":[53],"or":[54],"thin":[55],"and":[57,79,90],"noisy":[58],"segmentation.":[59],"In":[60],"this":[61],"paper,":[62],"we":[63],"propose":[64],"a":[65],"novel":[66],"method":[67,78],"improvement.":[71],"We":[72],"present":[73],"state-of-the-art":[74],"methods,":[75],"our":[76],"proposed":[77],"experiments,":[80],"showing":[81],"performance":[82],"over":[83,92],"segmentations":[84,93],"from":[85,94],"classical":[86],"also":[91],"background":[95],"subtraction":[96],"methods.":[97]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}