{"id":"https://openalex.org/W2082783955","doi":"https://doi.org/10.1145/1233341.1233346","title":"A sensitivity analysis of initial conditions for the Mumford-Shah based level set method of image segmentation (student paper)","display_name":"A sensitivity analysis of initial conditions for the Mumford-Shah based level set method of image segmentation (student paper)","publication_year":2007,"publication_date":"2007-03-23","ids":{"openalex":"https://openalex.org/W2082783955","doi":"https://doi.org/10.1145/1233341.1233346","mag":"2082783955"},"language":"en","primary_location":{"id":"doi:10.1145/1233341.1233346","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1233341.1233346","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 45th annual southeast regional conference","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/A5058618502","display_name":"Bruce A. Johnson","orcid":"https://orcid.org/0000-0001-8445-5368"},"institutions":[{"id":"https://openalex.org/I2802706902","display_name":"Knoxville College","ror":"https://ror.org/02bxrp522","country_code":"US","type":"education","lineage":["https://openalex.org/I2802706902"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bruce Johnson","raw_affiliation_strings":["Knoxville, TN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Knoxville, TN","institution_ids":["https://openalex.org/I2802706902"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005676360","display_name":"Yongsheng Pan","orcid":"https://orcid.org/0000-0002-8067-1132"},"institutions":[{"id":"https://openalex.org/I2802706902","display_name":"Knoxville College","ror":"https://ror.org/02bxrp522","country_code":"US","type":"education","lineage":["https://openalex.org/I2802706902"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yongsheng Pan","raw_affiliation_strings":["Knoxville, TN"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Knoxville, TN","institution_ids":["https://openalex.org/I2802706902"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I2802706902"],"apc_list":null,"apc_paid":null,"fwci":0.3289,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.62688031,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"19","last_page":"23"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation 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"}},"topics":[{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation 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"}},{"id":"https://openalex.org/T12549","display_name":"Image and Object Detection Techniques","score":0.9977999925613403,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9717000126838684,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"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/image-segmentation","display_name":"Image segmentation","score":0.7369869947433472},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6804030537605286},{"id":"https://openalex.org/keywords/level-set","display_name":"Level set (data structures)","score":0.6689772009849548},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6435323357582092},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6342911720275879},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.6331931948661804},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.6184697151184082},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6158056259155273},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6048733592033386},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5649122595787048},{"id":"https://openalex.org/keywords/segmentation-based-object-categorization","display_name":"Segmentation-based object categorization","score":0.5083786845207214},{"id":"https://openalex.org/keywords/market-segmentation","display_name":"Market segmentation","score":0.48939719796180725},{"id":"https://openalex.org/keywords/level-set-method","display_name":"Level set method","score":0.48774105310440063},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.4690958261489868},{"id":"https://openalex.org/keywords/range-segmentation","display_name":"Range segmentation","score":0.4520060420036316},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35162127017974854},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2753937840461731}],"concepts":[{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.7369869947433472},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6804030537605286},{"id":"https://openalex.org/C153008295","wikidata":"https://www.wikidata.org/wiki/Q6535093","display_name":"Level set (data structures)","level":2,"score":0.6689772009849548},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6435323357582092},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6342911720275879},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6331931948661804},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.6184697151184082},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6158056259155273},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6048733592033386},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5649122595787048},{"id":"https://openalex.org/C25694479","wikidata":"https://www.wikidata.org/wiki/Q7446278","display_name":"Segmentation-based object categorization","level":5,"score":0.5083786845207214},{"id":"https://openalex.org/C125308379","wikidata":"https://www.wikidata.org/wiki/Q363057","display_name":"Market segmentation","level":2,"score":0.48939719796180725},{"id":"https://openalex.org/C125269122","wikidata":"https://www.wikidata.org/wiki/Q1751397","display_name":"Level set method","level":4,"score":0.48774105310440063},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.4690958261489868},{"id":"https://openalex.org/C67561299","wikidata":"https://www.wikidata.org/wiki/Q7292710","display_name":"Range segmentation","level":5,"score":0.4520060420036316},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35162127017974854},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2753937840461731},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"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/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1233341.1233346","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1233341.1233346","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 45th annual southeast regional conference","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":12,"referenced_works":["https://openalex.org/W13405645","https://openalex.org/W20986390","https://openalex.org/W376550529","https://openalex.org/W1991113069","https://openalex.org/W2103315789","https://openalex.org/W2104095591","https://openalex.org/W2114487471","https://openalex.org/W2116040950","https://openalex.org/W2118896555","https://openalex.org/W2119823327","https://openalex.org/W2130447116","https://openalex.org/W2150141984"],"related_works":["https://openalex.org/W2367921179","https://openalex.org/W3080476861","https://openalex.org/W657288383","https://openalex.org/W2098360446","https://openalex.org/W1980083116","https://openalex.org/W2233054077","https://openalex.org/W1966783661","https://openalex.org/W2122184585","https://openalex.org/W2373659438","https://openalex.org/W2050783914"],"abstract_inverted_index":{"The":[0],"level":[1,12],"set":[2,13],"method":[3,14,49,71],"provides":[4],"a":[5,19,59,111],"means":[6,60],"of":[7,61,92,122],"segmenting":[8],"images.":[9],"Fundamentally,":[10],"the":[11,55,81],"for":[15,72],"image":[16,37,73],"segmentation":[17,74],"is":[18,120],"search":[20],"algorithm":[21],"that":[22,53,63,69],"determines":[23],"where":[24,113],"an":[25,36,123],"evolving":[26],"curve's":[27],"boundary":[28],"pixels":[29],"-":[30,40],"who":[31],"are":[32],"meant":[33],"to":[34,45],"encompass":[35],"segment's":[38],"perimeter":[39],"should":[41],"be":[42],"placed":[43],"according":[44],"some":[46],"criteria.":[47,64],"A":[48],"has":[50,66,75],"been":[51,67],"devised":[52],"utilizes":[54],"Mumford-Shah":[56],"functional":[57],"as":[58],"establishing":[62],"It":[65],"shown":[68],"this":[70,114],"limitations":[76],"that,":[77],"while":[78],"mentioned":[79],"in":[80],"original":[82],"research,":[83],"were":[84],"not":[85],"quantified":[86],"with":[87],"examples.":[88],"We":[89,107],"present":[90],"evidence":[91],"these":[93],"limitations,":[94],"discuss":[95],"how":[96],"they":[97],"occurred":[98],"and":[99],"describe":[100],"our":[101],"preliminary":[102],"attempts":[103],"at":[104],"overcoming":[105],"them.":[106],"conclude":[108],"by":[109],"offering":[110],"direction":[112],"research":[115,125],"might":[116],"lead.":[117],"This":[118],"work":[119],"part":[121],"ongoing":[124],"project.":[126]},"counts_by_year":[{"year":2014,"cited_by_count":2}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}