{"id":"https://openalex.org/W2033053968","doi":"https://doi.org/10.1109/meco.2014.6862673","title":"Comparison of methods for edge detection with sub-pixel accuracy in 1-D images","display_name":"Comparison of methods for edge detection with sub-pixel accuracy in 1-D images","publication_year":2014,"publication_date":"2014-06-01","ids":{"openalex":"https://openalex.org/W2033053968","doi":"https://doi.org/10.1109/meco.2014.6862673","mag":"2033053968"},"language":"en","primary_location":{"id":"doi:10.1109/meco.2014.6862673","is_oa":false,"landing_page_url":"https://doi.org/10.1109/meco.2014.6862673","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 3rd Mediterranean Conference on Embedded Computing (MECO)","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/A5036212189","display_name":"Miroslav Hagara","orcid":"https://orcid.org/0000-0002-2633-8670"},"institutions":[{"id":"https://openalex.org/I110757952","display_name":"Slovak University of Technology in Bratislava","ror":"https://ror.org/0561ghm58","country_code":"SK","type":"education","lineage":["https://openalex.org/I110757952"]}],"countries":["SK"],"is_corresponding":true,"raw_author_name":"Miroslav Hagara","raw_affiliation_strings":["Institute of Electronics and Photonics Slovak University of Technology Bratislava, Slovakia","Institute of Electronics and Photonics, Slovak University of Technology Bratislava Slovakia"],"affiliations":[{"raw_affiliation_string":"Institute of Electronics and Photonics Slovak University of Technology Bratislava, Slovakia","institution_ids":["https://openalex.org/I110757952"]},{"raw_affiliation_string":"Institute of Electronics and Photonics, Slovak University of Technology Bratislava Slovakia","institution_ids":["https://openalex.org/I110757952"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079933211","display_name":"Old\u0159ich Ondr\u00e1\u010dek","orcid":null},"institutions":[{"id":"https://openalex.org/I110757952","display_name":"Slovak University of Technology in Bratislava","ror":"https://ror.org/0561ghm58","country_code":"SK","type":"education","lineage":["https://openalex.org/I110757952"]}],"countries":["SK"],"is_corresponding":false,"raw_author_name":"Old\u0159ich Ondr\u00e1\u010dek","raw_affiliation_strings":["Institute of Electronics and Photonics Slovak University of Technology Bratislava, Slovakia","Institute of Electronics and Photonics, Slovak University of Technology Bratislava Slovakia"],"affiliations":[{"raw_affiliation_string":"Institute of Electronics and Photonics Slovak University of Technology Bratislava, Slovakia","institution_ids":["https://openalex.org/I110757952"]},{"raw_affiliation_string":"Institute of Electronics and Photonics, Slovak University of Technology Bratislava Slovakia","institution_ids":["https://openalex.org/I110757952"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5036212189"],"corresponding_institution_ids":["https://openalex.org/I110757952"],"apc_list":null,"apc_paid":null,"fwci":1.7923,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.87099715,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"124","last_page":"127"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10638","display_name":"Optical measurement and interference techniques","score":0.9980999827384949,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.7168171405792236},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.6833478808403015},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6554480195045471},{"id":"https://openalex.org/keywords/standard-deviation","display_name":"Standard deviation","score":0.6132781505584717},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5883088111877441},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5785816311836243},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.571270763874054},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.517273485660553},{"id":"https://openalex.org/keywords/morphological-gradient","display_name":"Morphological gradient","score":0.5079393982887268},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.48167693614959717},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.46590739488601685},{"id":"https://openalex.org/keywords/deriche-edge-detector","display_name":"Deriche edge detector","score":0.45808544754981995},{"id":"https://openalex.org/keywords/digital-image","display_name":"Digital image","score":0.45172542333602905},{"id":"https://openalex.org/keywords/image-gradient","display_name":"Image gradient","score":0.4488704800605774},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.4286016821861267},{"id":"https://openalex.org/keywords/moment","display_name":"Moment (physics)","score":0.4284512996673584},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4048088788986206},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3313261568546295},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07607805728912354},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.06311315298080444}],"concepts":[{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.7168171405792236},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.6833478808403015},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6554480195045471},{"id":"https://openalex.org/C22679943","wikidata":"https://www.wikidata.org/wiki/Q159375","display_name":"Standard deviation","level":2,"score":0.6132781505584717},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5883088111877441},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5785816311836243},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.571270763874054},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.517273485660553},{"id":"https://openalex.org/C96133863","wikidata":"https://www.wikidata.org/wiki/Q6913458","display_name":"Morphological gradient","level":5,"score":0.5079393982887268},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.48167693614959717},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.46590739488601685},{"id":"https://openalex.org/C167074055","wikidata":"https://www.wikidata.org/wiki/Q5262565","display_name":"Deriche edge detector","level":5,"score":0.45808544754981995},{"id":"https://openalex.org/C42781572","wikidata":"https://www.wikidata.org/wiki/Q1250322","display_name":"Digital image","level":4,"score":0.45172542333602905},{"id":"https://openalex.org/C182037307","wikidata":"https://www.wikidata.org/wiki/Q17039097","display_name":"Image gradient","level":5,"score":0.4488704800605774},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.4286016821861267},{"id":"https://openalex.org/C179254644","wikidata":"https://www.wikidata.org/wiki/Q13222844","display_name":"Moment (physics)","level":2,"score":0.4284512996673584},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4048088788986206},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3313261568546295},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07607805728912354},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.06311315298080444},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/meco.2014.6862673","is_oa":false,"landing_page_url":"https://doi.org/10.1109/meco.2014.6862673","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 3rd Mediterranean Conference on Embedded Computing (MECO)","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":7,"referenced_works":["https://openalex.org/W1567297045","https://openalex.org/W2035459724","https://openalex.org/W2073709276","https://openalex.org/W2075285356","https://openalex.org/W2096889917","https://openalex.org/W2603235775","https://openalex.org/W6735897172"],"related_works":["https://openalex.org/W3110410354","https://openalex.org/W2371586031","https://openalex.org/W2369107151","https://openalex.org/W1954180453","https://openalex.org/W1974517722","https://openalex.org/W2140201873","https://openalex.org/W2182284348","https://openalex.org/W264606855","https://openalex.org/W2373164917","https://openalex.org/W2394248373"],"abstract_inverted_index":{"Edge":[0],"detection":[1,33],"is":[2,14,97],"often":[3],"used":[4],"procedure":[5],"in":[6,37,85],"digital":[7],"image":[8,46,60],"processing.":[9],"For":[10],"some":[11],"practical":[12],"applications":[13],"desirable":[15],"to":[16,82],"detect":[17],"edges":[18],"with":[19,34,48],"sub-pixel":[20,35],"accuracy.":[21],"In":[22],"this":[23],"paper":[24,72],"we":[25],"present":[26],"comparison":[27],"of":[28,44,58,69,75,80,87,92],"four":[29],"methods":[30,84],"for":[31],"edge":[32,52,94],"accuracy":[36],"1-D":[38],"images:":[39],"method":[40,64],"based":[41,65],"on":[42,66],"approximation":[43],"real":[45],"function":[47,61],"erf":[49],"function,":[50],"moment-based":[51],"operator,":[53],"technique":[54],"using":[55],"spatial":[56],"moments":[57],"the":[59,63,89,93],"and":[62],"wavelet":[67],"transform":[68],"image.":[70],"The":[71],"presents":[73],"results":[74],"simulations":[76],"as":[77,79,99],"well":[78],"experiments":[81],"compare":[83],"terms":[86],"accuracy,":[88],"standard":[90],"deviation":[91],"localization":[95],"error":[96],"chosen":[98],"precision":[100],"criterion.":[101]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2}],"updated_date":"2025-11-25T21:42:39.735039","created_date":"2025-10-10T00:00:00"}