{"id":"https://openalex.org/W1966094343","doi":"https://doi.org/10.1155/2009/820986","title":"Fast Graph Partitioning Active Contours for Image Segmentation Using Histograms","display_name":"Fast Graph Partitioning Active Contours for Image Segmentation Using Histograms","publication_year":2009,"publication_date":"2009-01-01","ids":{"openalex":"https://openalex.org/W1966094343","doi":"https://doi.org/10.1155/2009/820986","mag":"1966094343"},"language":"en","primary_location":{"id":"doi:10.1155/2009/820986","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2009/820986","pdf_url":null,"source":{"id":"https://openalex.org/S153767265","display_name":"EURASIP Journal on Image and Video Processing","issn_l":"1687-5176","issn":["1687-5176","1687-5281"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Image and Video Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1155/2009/820986","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5028281622","display_name":"Sumit K. Nath","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":"Sumit K. Nath","raw_affiliation_strings":["[Department of Computer Science, University of Missouri, Columbia, MO]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"[Department of Computer Science, University of Missouri, Columbia, MO]","institution_ids":["https://openalex.org/I76835614"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025286899","display_name":"Kannappan Palaniappan","orcid":"https://orcid.org/0000-0003-2663-1380"},"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":"Kannappan Palaniappan","raw_affiliation_strings":["[Department of Computer Science, University of Missouri, Columbia, MO]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"[Department of Computer Science, University of Missouri, Columbia, MO]","institution_ids":["https://openalex.org/I76835614"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I76835614"],"apc_list":{"value":1790,"currency":"USD","value_usd":1790},"apc_paid":{"value":1790,"currency":"USD","value_usd":1790},"fwci":1.6179,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.85400864,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"2009","issue":null,"first_page":"1","last_page":"9"},"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/T10627","display_name":"Advanced Image and Video Retrieval 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"}},{"id":"https://openalex.org/T12923","display_name":"Digital Image Processing Techniques","score":0.9987999796867371,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.6706396341323853},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.5765796899795532},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5689826011657715},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5685856342315674},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.5606687068939209},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5548480749130249},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5539141893386841},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.538356602191925},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4808800518512726},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.37829893827438354},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.09525653719902039}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6706396341323853},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.5765796899795532},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5689826011657715},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5685856342315674},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.5606687068939209},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5548480749130249},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5539141893386841},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.538356602191925},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4808800518512726},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.37829893827438354},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.09525653719902039}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1155/2009/820986","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2009/820986","pdf_url":null,"source":{"id":"https://openalex.org/S153767265","display_name":"EURASIP Journal on Image and Video Processing","issn_l":"1687-5176","issn":["1687-5176","1687-5281"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Image and Video Processing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:22209a69b93e4f848e23c8491beb108b","is_oa":true,"landing_page_url":"https://doaj.org/article/22209a69b93e4f848e23c8491beb108b","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"EURASIP Journal on Image and Video Processing, Vol 2009, Iss 1, p 820986 (2009)","raw_type":"article"},{"id":"pmh:oai:doaj.org/article:85cbae52763e4b0680cb9c1a9f4713d6","is_oa":true,"landing_page_url":"https://doaj.org/article/85cbae52763e4b0680cb9c1a9f4713d6","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"EURASIP Journal on Image and Video Processing, Vol 2009 (2009)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2009/820986","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2009/820986","pdf_url":null,"source":{"id":"https://openalex.org/S153767265","display_name":"EURASIP Journal on Image and Video Processing","issn_l":"1687-5176","issn":["1687-5176","1687-5281"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Image and Video Processing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306078","display_name":"U.S. Department of Defense","ror":"https://ror.org/0447fe631"},{"id":"https://openalex.org/F4320309370","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10"},{"id":"https://openalex.org/F4320309568","display_name":"University of Missouri","ror":"https://ror.org/02ymw8z06"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320337363","display_name":"National Institute of Biomedical Imaging and Bioengineering","ror":"https://ror.org/00372qc85"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1491226948","https://openalex.org/W1500029988","https://openalex.org/W1518641734","https://openalex.org/W1561780658","https://openalex.org/W1562012334","https://openalex.org/W1838005314","https://openalex.org/W1889969990","https://openalex.org/W2027105670","https://openalex.org/W2028837054","https://openalex.org/W2040520535","https://openalex.org/W2086610095","https://openalex.org/W2111679510","https://openalex.org/W2116040950","https://openalex.org/W2138604203","https://openalex.org/W2143516773","https://openalex.org/W2151096925","https://openalex.org/W2161308333","https://openalex.org/W2163963260","https://openalex.org/W2164822588","https://openalex.org/W2165734775"],"related_works":["https://openalex.org/W2076845124","https://openalex.org/W2183964146","https://openalex.org/W2379932303","https://openalex.org/W2095239294","https://openalex.org/W3147744369","https://openalex.org/W2062586268","https://openalex.org/W2019582947","https://openalex.org/W3212688212","https://openalex.org/W4300873085","https://openalex.org/W1522196789"],"abstract_inverted_index":{"Abstract":[0],"We":[1],"present":[2],"a":[3,55,95],"method":[4],"to":[5,78,123],"improve":[6],"the":[7,16,20,33,84,105,113],"accuracy":[8],"and":[9,37,60,72,117],"speed,":[10],"as":[11,13],"well":[12],"significantly":[14],"reduce":[15],"memory":[17,98],"requirements,":[18],"for":[19,29,54],"recently":[21],"proposed":[22],"Graph":[23],"Partitioning":[24],"Active":[25],"Contours":[26],"(GPACs)":[27],"algorithm":[28],"image":[30,57,62],"segmentation":[31],"in":[32],"work":[34],"of":[35,41,50,58,64,92,112,121],"Sumengen":[36],"Manjunath":[38],"(2006).":[39],"Instead":[40],"computing":[42],"an":[43,73],"approximate":[44],"but":[45],"still":[46],"expensive":[47],"dissimilarity":[48,86],"matrix":[49,77],"quadratic":[51],"size,":[52],",":[53,66],"2D":[56],"size":[59,65],"regular":[61],"tiles":[63],"we":[67],"use":[68],"fixed":[69],"length":[70],"histograms":[71],"intensity-based":[74],"symmetric-centrosymmetric":[75],"extensor":[76],"jointly":[79],"compute":[80],"terms":[81],"associated":[82],"with":[83],"complete":[85],"matrix.":[87],"This":[88],"computationally":[89],"efficient":[90],"reformulation":[91],"GPAC":[93,122],"using":[94],"very":[96],"small":[97],"footprint":[99],"offers":[100],"two":[101],"distinct":[102],"advantages":[103],"over":[104],"original":[106],"implementation.":[107],"It":[108],"speeds":[109],"up":[110],"convergence":[111],"evolving":[114],"active":[115],"contour":[116],"seamlessly":[118],"extends":[119],"performance":[120],"multidimensional":[124],"images.":[125]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2012,"cited_by_count":2}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}
