{"id":"https://openalex.org/W2782552230","doi":"https://doi.org/10.1109/iske.2017.8258764","title":"Classifying segments in edge detection problems","display_name":"Classifying segments in edge detection problems","publication_year":2017,"publication_date":"2017-11-01","ids":{"openalex":"https://openalex.org/W2782552230","doi":"https://doi.org/10.1109/iske.2017.8258764","mag":"2782552230"},"language":"en","primary_location":{"id":"doi:10.1109/iske.2017.8258764","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iske.2017.8258764","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 12th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)","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/A5070002646","display_name":"Pablo A. Flores-Vidal","orcid":"https://orcid.org/0000-0002-3936-1159"},"institutions":[{"id":"https://openalex.org/I121748325","display_name":"Universidad Complutense de Madrid","ror":"https://ror.org/02p0gd045","country_code":"ES","type":"education","lineage":["https://openalex.org/I121748325"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Pablo A. Flores-Vidal","raw_affiliation_strings":["Statistics and Operational Research Faculty of Mathematics, Complutense University, Madrid, Spain"],"affiliations":[{"raw_affiliation_string":"Statistics and Operational Research Faculty of Mathematics, Complutense University, Madrid, Spain","institution_ids":["https://openalex.org/I121748325"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042720500","display_name":"Daniel G\u00f3mez","orcid":"https://orcid.org/0000-0001-9548-5781"},"institutions":[{"id":"https://openalex.org/I121748325","display_name":"Universidad Complutense de Madrid","ror":"https://ror.org/02p0gd045","country_code":"ES","type":"education","lineage":["https://openalex.org/I121748325"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Daniel Gomez","raw_affiliation_strings":["Statistics and Operational Research II Faculty of Statistics, Complutense University, Madrid, Spain"],"affiliations":[{"raw_affiliation_string":"Statistics and Operational Research II Faculty of Statistics, Complutense University, Madrid, Spain","institution_ids":["https://openalex.org/I121748325"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044198609","display_name":"Javier Montero","orcid":"https://orcid.org/0000-0001-8333-2155"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Javier Montero","raw_affiliation_strings":["Statistics and Operational Research Faculty of Mathematics and IGEO-UCM (CISC-UCM), Madrid, Spain"],"affiliations":[{"raw_affiliation_string":"Statistics and Operational Research Faculty of Mathematics and IGEO-UCM (CISC-UCM), Madrid, Spain","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083950964","display_name":"Guillermo Villarino","orcid":"https://orcid.org/0000-0002-7149-6758"},"institutions":[{"id":"https://openalex.org/I121748325","display_name":"Universidad Complutense de Madrid","ror":"https://ror.org/02p0gd045","country_code":"ES","type":"education","lineage":["https://openalex.org/I121748325"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Guillermo Villarino","raw_affiliation_strings":["Statistics and Operational Research II Faculty of Statistics, Complutense University, Madrid, Spain"],"affiliations":[{"raw_affiliation_string":"Statistics and Operational Research II Faculty of Statistics, Complutense University, Madrid, Spain","institution_ids":["https://openalex.org/I121748325"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5070002646"],"corresponding_institution_ids":["https://openalex.org/I121748325"],"apc_list":null,"apc_paid":null,"fwci":0.2731,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.65713954,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9988999962806702,"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":0.9983000159263611,"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/pixel","display_name":"Pixel","score":0.8226380348205566},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7317875027656555},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.7307918667793274},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.6569936275482178},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.6513751745223999},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.6032381057739258},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.600641131401062},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5964117646217346},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5532867908477783},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.49637919664382935},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46101251244544983},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.44683343172073364},{"id":"https://openalex.org/keywords/canny-edge-detector","display_name":"Canny edge detector","score":0.42917516827583313},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4004990756511688},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.21996110677719116},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20252206921577454}],"concepts":[{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.8226380348205566},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7317875027656555},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.7307918667793274},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.6569936275482178},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.6513751745223999},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.6032381057739258},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.600641131401062},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5964117646217346},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5532867908477783},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.49637919664382935},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46101251244544983},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.44683343172073364},{"id":"https://openalex.org/C14705441","wikidata":"https://www.wikidata.org/wiki/Q597183","display_name":"Canny edge detector","level":5,"score":0.42917516827583313},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4004990756511688},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.21996110677719116},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20252206921577454},{"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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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:10.1109/iske.2017.8258764","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iske.2017.8258764","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 12th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320313831","display_name":"Comunidad de Madrid","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1594031697","https://openalex.org/W1597739853","https://openalex.org/W1764702882","https://openalex.org/W1831050183","https://openalex.org/W1869682204","https://openalex.org/W1972544340","https://openalex.org/W1997196510","https://openalex.org/W2003370853","https://openalex.org/W2016396776","https://openalex.org/W2031117414","https://openalex.org/W2060223645","https://openalex.org/W2070493638","https://openalex.org/W2085399970","https://openalex.org/W2105503847","https://openalex.org/W2110158442","https://openalex.org/W2116044718","https://openalex.org/W2116216752","https://openalex.org/W2121927366","https://openalex.org/W2145023731","https://openalex.org/W2148054108","https://openalex.org/W2148143831","https://openalex.org/W2153394113","https://openalex.org/W2164507445","https://openalex.org/W2168809519","https://openalex.org/W2344241443","https://openalex.org/W2911964244"],"related_works":["https://openalex.org/W3169126738","https://openalex.org/W1994279415","https://openalex.org/W2558559991","https://openalex.org/W1986338341","https://openalex.org/W2980082320","https://openalex.org/W2545065926","https://openalex.org/W3093839383","https://openalex.org/W2387510934","https://openalex.org/W2128085731","https://openalex.org/W4293054829"],"abstract_inverted_index":{"Edge":[0],"detection":[1],"problems":[2],"try":[3],"to":[4,43,82,117,139],"identify":[5],"those":[6],"pixels":[7,37,47],"that":[8,38,133],"represent":[9],"the":[10,13,32,60,77,101,114,124,131,145,150,159,167,173],"boundaries":[11],"of":[12,36,79,162,175],"objects":[14],"in":[15,27,63,93,96,109,123,144],"an":[16,90],"image.":[17],"The":[18],"process":[19],"for":[20,166],"getting":[21],"a":[22,34,71,84,135,141],"solution":[23],"is":[24],"usually":[25],"organized":[26],"several":[28],"steps,":[29],"producing":[30],"at":[31],"end":[33],"set":[35],"could":[39],"be":[40,44,140],"edges":[41],"(candidates":[42],"edges).":[45],"These":[46],"are":[48,130],"then":[49],"classified":[50],"based":[51,75],"on":[52,76],"some":[53],"local":[54],"evaluation":[55,73],"method,":[56],"taking":[57],"into":[58],"account":[59],"measurements":[61],"obtained":[62],"each":[64,118],"pixel.":[65],"In":[66,86,153],"this":[67,154,176],"paper,":[68],"we":[69,88,99,105,112,127,148,156,171],"propose":[70,89],"global":[72],"method":[74],"idea":[78],"edge":[80,102,163],"list":[81,103,164],"produce":[83],"solution.":[85],"particular,":[87],"algorithm":[91,177],"divided":[92],"four":[94],"steps:":[95],"first":[97],"place":[98,111],"build":[100],"(that":[104],"have":[106,157],"called":[107],"segments);":[108],"second":[110],"extract":[113],"characteristics":[115,132],"associated":[116],"segment":[119,136],"(length,":[120],"intensity,":[121],"location,...);":[122],"third":[125],"step":[126],"learn":[128],"which":[129],"make":[134],"good":[137],"enough":[138],"boundary;":[142],"finally,":[143],"fourth":[146],"place,":[147],"apply":[149],"classification":[151],"task.":[152],"work":[155],"built":[158],"ground":[160],"truth":[161],"necessary":[165],"supervised":[168],"classification.":[169],"Finally":[170],"test":[172],"effectiveness":[174],"against":[178],"other":[179],"classical":[180],"approaches.":[181]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
