{"id":"https://openalex.org/W2099494889","doi":"https://doi.org/10.1109/fskd.2011.6019695","title":"Image segmentation via IB method","display_name":"Image segmentation via IB method","publication_year":2011,"publication_date":"2011-07-01","ids":{"openalex":"https://openalex.org/W2099494889","doi":"https://doi.org/10.1109/fskd.2011.6019695","mag":"2099494889"},"language":"en","primary_location":{"id":"doi:10.1109/fskd.2011.6019695","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2011.6019695","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","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/A5024725764","display_name":"Nan Wu","orcid":"https://orcid.org/0000-0001-9061-9656"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Nan Wu","raw_affiliation_strings":["School of Information Engineering, Zhengzhou University, Zhengzhou, P.R. China","School of Information Engineering , Zhengzhou University , China"],"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Zhengzhou University, Zhengzhou, P.R. China","institution_ids":["https://openalex.org/I38877650"]},{"raw_affiliation_string":"School of Information Engineering , Zhengzhou University , China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045940041","display_name":"Yangdong Ye","orcid":"https://orcid.org/0000-0001-7027-8313"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]},{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yangdong Ye","raw_affiliation_strings":["State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, P.R. China","School of Information Engineering , Zhengzhou University , China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, P.R. China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"School of Information Engineering , Zhengzhou University , China","institution_ids":["https://openalex.org/I38877650"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044240623","display_name":"Zhengzheng Lou","orcid":"https://orcid.org/0000-0002-6902-5260"},"institutions":[{"id":"https://openalex.org/I38877650","display_name":"Zhengzhou University","ror":"https://ror.org/04ypx8c21","country_code":"CN","type":"education","lineage":["https://openalex.org/I38877650"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengzheng Lou","raw_affiliation_strings":["School of Information Engineering, Zhengzhou University, Zhengzhou, P.R. China","School of Information Engineering , Zhengzhou University , China"],"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Zhengzhou University, Zhengzhou, P.R. China","institution_ids":["https://openalex.org/I38877650"]},{"raw_affiliation_string":"School of Information Engineering , Zhengzhou University , China","institution_ids":["https://openalex.org/I38877650"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5024725764"],"corresponding_institution_ids":["https://openalex.org/I38877650"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15216246,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1142","last_page":"1146"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9993000030517578,"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":0.9991000294685364,"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/image-segmentation","display_name":"Image segmentation","score":0.7012847065925598},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6843996047973633},{"id":"https://openalex.org/keywords/merge","display_name":"Merge (version control)","score":0.6541211605072021},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.64412522315979},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.601578950881958},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.5864037275314331},{"id":"https://openalex.org/keywords/range-segmentation","display_name":"Range segmentation","score":0.5759318470954895},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.551362156867981},{"id":"https://openalex.org/keywords/minimum-spanning-tree-based-segmentation","display_name":"Minimum spanning tree-based segmentation","score":0.5495466589927673},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5386403203010559},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.533613920211792},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5317881107330322},{"id":"https://openalex.org/keywords/binary-image","display_name":"Binary image","score":0.4967844784259796},{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.48815232515335083},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.4770756959915161},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.46110326051712036},{"id":"https://openalex.org/keywords/grayscale","display_name":"Grayscale","score":0.4274202883243561},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.4155391454696655},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.31122201681137085},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22184616327285767}],"concepts":[{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.7012847065925598},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6843996047973633},{"id":"https://openalex.org/C197129107","wikidata":"https://www.wikidata.org/wiki/Q1921621","display_name":"Merge (version control)","level":2,"score":0.6541211605072021},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.64412522315979},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.601578950881958},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.5864037275314331},{"id":"https://openalex.org/C67561299","wikidata":"https://www.wikidata.org/wiki/Q7292710","display_name":"Range segmentation","level":5,"score":0.5759318470954895},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.551362156867981},{"id":"https://openalex.org/C42314347","wikidata":"https://www.wikidata.org/wiki/Q6865488","display_name":"Minimum spanning tree-based segmentation","level":5,"score":0.5495466589927673},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5386403203010559},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.533613920211792},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5317881107330322},{"id":"https://openalex.org/C193828747","wikidata":"https://www.wikidata.org/wiki/Q864118","display_name":"Binary image","level":4,"score":0.4967844784259796},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.48815232515335083},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.4770756959915161},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.46110326051712036},{"id":"https://openalex.org/C78201319","wikidata":"https://www.wikidata.org/wiki/Q685727","display_name":"Grayscale","level":3,"score":0.4274202883243561},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.4155391454696655},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.31122201681137085},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22184616327285767},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fskd.2011.6019695","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2011.6019695","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1673310716","https://openalex.org/W1686946872","https://openalex.org/W1972442292","https://openalex.org/W1985862272","https://openalex.org/W2103723258","https://openalex.org/W2121947440","https://openalex.org/W2131410434","https://openalex.org/W2155985447","https://openalex.org/W2156919418","https://openalex.org/W2163651591","https://openalex.org/W2979454998","https://openalex.org/W6637108112","https://openalex.org/W6637131181","https://openalex.org/W6643186678","https://openalex.org/W6675471587"],"related_works":["https://openalex.org/W2551987074","https://openalex.org/W2553765490","https://openalex.org/W2785294226","https://openalex.org/W2356830874","https://openalex.org/W3152412130","https://openalex.org/W2183434644","https://openalex.org/W1998145955","https://openalex.org/W2394279717","https://openalex.org/W326224813","https://openalex.org/W4386493545"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"an":[3,55],"image":[4,19,44,56,70,106,116],"segmentation":[5],"algorithm,":[6,41],"called":[7],"ISIB,":[8],"based":[9,82],"on":[10],"the":[11,18,24,28,31,43,47,50,59,65,69,75,80,87,92,96,111],"Information":[12],"Bottleneck":[13],"(IB)":[14],"method.":[15],"ISIB":[16,109],"extracts":[17],"patterns":[20],"by":[21,57],"maximally":[22],"preserving":[23],"mutual":[25,60],"information":[26,61],"between":[27],"segments":[29,89],"and":[30,45],"gray":[32],"scale":[33],"values.":[34],"There":[35],"are":[36],"two":[37],"stages":[38],"in":[39],"our":[40],"partitioning":[42],"merging":[46],"segmentations.":[48],"In":[49,74],"partition":[51],"process,":[52],"we":[53,78],"segment":[54,107],"maximizing":[58],"gain,":[62],"so":[63],"that":[64],"fine":[66,88],"structure":[67,94],"of":[68,95],"can":[71],"be":[72],"obtained.":[73],"second":[76],"stage,":[77],"use":[79],"density":[81],"IB":[83],"method":[84],"to":[85,90],"merge":[86],"get":[91],"whole":[93],"image.":[97],"Our":[98],"experiments":[99],"show":[100],"that,":[101],"compared":[102],"with":[103],"other":[104],"advanced":[105],"methods,":[108],"induces":[110],"contours":[112],"which":[113],"better":[114],"describe":[115],"objects.":[117]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
