{"id":"https://openalex.org/W2066776400","doi":"https://doi.org/10.1142/s0218001412550130","title":"AN ITERATIVE CONVEX HULL APPROACH FOR IMAGE SEGMENTATION AND CONTOUR EXTRACTION","display_name":"AN ITERATIVE CONVEX HULL APPROACH FOR IMAGE SEGMENTATION AND CONTOUR EXTRACTION","publication_year":2012,"publication_date":"2012-11-01","ids":{"openalex":"https://openalex.org/W2066776400","doi":"https://doi.org/10.1142/s0218001412550130","mag":"2066776400"},"language":"en","primary_location":{"id":"doi:10.1142/s0218001412550130","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001412550130","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-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/A5109846619","display_name":"Jian Zhao","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"JIAN ZHAO","raw_affiliation_strings":["AVIC Computing Technique Research Institute, 156 N. Taibai Rd, Xi'an, Shaanxi 710068, P. R. China"],"affiliations":[{"raw_affiliation_string":"AVIC Computing Technique Research Institute, 156 N. Taibai Rd, Xi'an, Shaanxi 710068, P. R. China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101800065","display_name":"Jian An","orcid":"https://orcid.org/0000-0001-7717-8382"},"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":"JIAN AN","raw_affiliation_strings":["Department of Computer Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi 710049, P. R. China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Xi'an Jiaotong University, Xi'an, Shaanxi 710049, P. R. China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5109846619"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.13409814,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"26","issue":"07","first_page":"1255013","last_page":"1255013"},"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/T12923","display_name":"Digital Image Processing 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/T12549","display_name":"Image and Object Detection Techniques","score":0.9983999729156494,"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/convex-hull","display_name":"Convex hull","score":0.7047333717346191},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.5961064696311951},{"id":"https://openalex.org/keywords/polygon","display_name":"Polygon (computer graphics)","score":0.5657997131347656},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5448241233825684},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.541489839553833},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.5264081358909607},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.5165976285934448},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.4909122586250305},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4846492409706116},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4771294593811035},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.45228761434555054},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4270193874835968},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.42287325859069824},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4189125895500183},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.12708359956741333}],"concepts":[{"id":"https://openalex.org/C206194317","wikidata":"https://www.wikidata.org/wiki/Q1138624","display_name":"Convex hull","level":3,"score":0.7047333717346191},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.5961064696311951},{"id":"https://openalex.org/C190694206","wikidata":"https://www.wikidata.org/wiki/Q3276654","display_name":"Polygon (computer graphics)","level":3,"score":0.5657997131347656},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5448241233825684},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.541489839553833},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.5264081358909607},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.5165976285934448},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.4909122586250305},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4846492409706116},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4771294593811035},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.45228761434555054},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4270193874835968},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.42287325859069824},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4189125895500183},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.12708359956741333},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218001412550130","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001412550130","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1979393293","https://openalex.org/W1995092653","https://openalex.org/W2017787659","https://openalex.org/W2038218396","https://openalex.org/W2048404606","https://openalex.org/W2079352267","https://openalex.org/W2104095591","https://openalex.org/W2125637308","https://openalex.org/W2145803225","https://openalex.org/W2149184914","https://openalex.org/W2169451412"],"related_works":["https://openalex.org/W4380153838","https://openalex.org/W2383204375","https://openalex.org/W1982962927","https://openalex.org/W2363904277","https://openalex.org/W2107908243","https://openalex.org/W981962503","https://openalex.org/W2128601753","https://openalex.org/W2048874717","https://openalex.org/W2372035979","https://openalex.org/W4296997005"],"abstract_inverted_index":{"The":[0,59,96],"contours":[1],"and":[2,37,167],"segments":[3],"of":[4,15,24,55,57,61,98,104,150,171,178],"objects":[5,82],"in":[6,85,138],"digital":[7],"images":[8,17,36],"have":[9],"many":[10],"important":[11],"applications.":[12],"Contour":[13],"extractions":[14,23],"gray":[16],"can":[18,174],"be":[19],"converted":[20],"into":[21],"contour":[22,60,103,131],"binary":[25,35],"images.":[26],"This":[27],"paper":[28,141],"presents":[29],"a":[30,39,66,87],"novel":[31],"contour-extraction":[32],"algorithm":[33,137],"for":[34,42],"provides":[38],"deduction":[40],"theory":[41],"this":[43],"algorithm.":[44],"First,":[45],"we":[46],"discuss":[47],"the":[48,70,76,99,102,105,110,136,139,148,151,168,172,176],"method":[49,90,125],"used":[50],"to":[51,81,147],"construct":[52],"convex":[53,67,164],"hulls":[54],"regions":[56],"objects.":[58],"an":[62,121],"object":[63,106,152],"evolves":[64],"from":[65,79],"polygon":[68,88],"until":[69],"exact":[71],"boundary":[72],"is":[73,91,101,126,142,160],"obtained.":[74],"Second,":[75],"projection":[77,119],"methods":[78],"lines":[80],"are":[83],"studied,":[84],"which,":[86],"iteration":[89,100],"presented":[92],"using":[93],"linear":[94],"projection.":[95],"result":[97],"region.":[107],"Lastly,":[108],"addressing":[109],"problem":[111],"that":[112,135,157],"direct":[113],"projections":[114],"probably":[115],"cannot":[116],"find":[117],"correct":[118],"points,":[120],"effective":[122],"discrete":[123],"ray-projection":[124],"presented.":[127],"Comparisons":[128],"with":[129,145],"other":[130],"deformation":[132],"algorithms":[133],"show":[134,156],"present":[140],"very":[143],"robust":[144],"respect":[146],"shapes":[149],"regions.":[153],"Numerical":[154],"tests":[155],"time":[158],"consumption":[159],"primarily":[161],"concentrated":[162],"on":[163],"hull":[165],"computation,":[166],"implementation":[169],"efficiency":[170],"program":[173],"satisfy":[175],"requirement":[177],"interactive":[179],"operations.":[180]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
