{"id":"https://openalex.org/W2127359242","doi":"https://doi.org/10.1109/icpr.2002.1044811","title":"Enhanced Canny edge detection using curvature consistency","display_name":"Enhanced Canny edge detection using curvature consistency","publication_year":2003,"publication_date":"2003-06-25","ids":{"openalex":"https://openalex.org/W2127359242","doi":"https://doi.org/10.1109/icpr.2002.1044811","mag":"2127359242"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2002.1044811","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2002.1044811","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Object recognition supported by user interaction for service robots","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/A5060830038","display_name":"Philip Worthington","orcid":"https://orcid.org/0000-0002-8892-0201"},"institutions":[{"id":"https://openalex.org/I28407311","display_name":"University of Manchester","ror":"https://ror.org/027m9bs27","country_code":"GB","type":"education","lineage":["https://openalex.org/I28407311"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"P.L. Worthington","raw_affiliation_strings":["Department of Computation, UMIST (University of Manchester Institute of Science and Technology), Manchester, UK","Dept. of Comput., Univ. of Manchester Inst. of Sci. & Technol., , UK"],"affiliations":[{"raw_affiliation_string":"Department of Computation, UMIST (University of Manchester Institute of Science and Technology), Manchester, UK","institution_ids":["https://openalex.org/I28407311"]},{"raw_affiliation_string":"Dept. of Comput., Univ. of Manchester Inst. of Sci. & Technol., , UK","institution_ids":["https://openalex.org/I28407311"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5060830038"],"corresponding_institution_ids":["https://openalex.org/I28407311"],"apc_list":null,"apc_paid":null,"fwci":0.2669,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.59447696,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"1","issue":null,"first_page":"596","last_page":"599"},"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9994999766349792,"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":0.9984999895095825,"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/canny-edge-detector","display_name":"Canny edge detector","score":0.865798830986023},{"id":"https://openalex.org/keywords/curvature","display_name":"Curvature","score":0.8297272324562073},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.7318474054336548},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.6702544689178467},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6619589328765869},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6581705808639526},{"id":"https://openalex.org/keywords/image-gradient","display_name":"Image gradient","score":0.6091405153274536},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6001693606376648},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5998573899269104},{"id":"https://openalex.org/keywords/deriche-edge-detector","display_name":"Deriche edge detector","score":0.5300825834274292},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5172730088233948},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.49877429008483887},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3644797205924988},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35750555992126465},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3567149043083191},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.28964710235595703},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.07482686638832092}],"concepts":[{"id":"https://openalex.org/C14705441","wikidata":"https://www.wikidata.org/wiki/Q597183","display_name":"Canny edge detector","level":5,"score":0.865798830986023},{"id":"https://openalex.org/C195065555","wikidata":"https://www.wikidata.org/wiki/Q214881","display_name":"Curvature","level":2,"score":0.8297272324562073},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.7318474054336548},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.6702544689178467},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6619589328765869},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6581705808639526},{"id":"https://openalex.org/C182037307","wikidata":"https://www.wikidata.org/wiki/Q17039097","display_name":"Image gradient","level":5,"score":0.6091405153274536},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6001693606376648},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5998573899269104},{"id":"https://openalex.org/C167074055","wikidata":"https://www.wikidata.org/wiki/Q5262565","display_name":"Deriche edge detector","level":5,"score":0.5300825834274292},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5172730088233948},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.49877429008483887},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3644797205924988},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35750555992126465},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3567149043083191},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28964710235595703},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.07482686638832092},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr.2002.1044811","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2002.1044811","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Object recognition supported by user interaction for service robots","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/W191001584","https://openalex.org/W1499677203","https://openalex.org/W2003067321","https://openalex.org/W2013708151","https://openalex.org/W2030673126","https://openalex.org/W2066499403","https://openalex.org/W2086502545","https://openalex.org/W2105364438","https://openalex.org/W2145023731","https://openalex.org/W2147597023","https://openalex.org/W2147640721","https://openalex.org/W3042462592"],"related_works":["https://openalex.org/W2545065926","https://openalex.org/W3093839383","https://openalex.org/W2056066761","https://openalex.org/W2387510934","https://openalex.org/W2015446345","https://openalex.org/W3169126738","https://openalex.org/W2130933797","https://openalex.org/W2305304842","https://openalex.org/W2185255929","https://openalex.org/W1994279415"],"abstract_inverted_index":{"Edges":[0],"are":[1],"often":[2],"considered":[3],"as":[4],"primary":[5],"image":[6],"artifacts":[7],"for":[8,18],"extraction":[9],"by":[10],"low-level":[11],"processing":[12],"techniques,":[13],"and":[14],"the":[15,60,67],"starting":[16],"point":[17],"many":[19],"computer":[20],"vision":[21],"techniques.":[22],"As":[23],"a":[24,32,54],"result,":[25],"reliable":[26,42],"edge":[27,51],"detection":[28],"has":[29],"long":[30],"been":[31],"research":[33],"goal.":[34],"This":[35],"paper":[36],"describes":[37],"initial":[38],"investigations":[39],"into":[40],"recovering":[41],"edges":[43],"using":[44,53],"curvature":[45,55],"models.":[46],"Essentially,":[47],"we":[48],"modify":[49],"Canny's":[50],"detector":[52],"consistency":[56],"process":[57],"to":[58,65],"adjust":[59],"gradient":[61],"direction":[62],"estimates":[63],"prior":[64],"finding":[66],"zero":[68],"crossings":[69],"in":[70],"those":[71],"directions.":[72]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
