{"id":"https://openalex.org/W2805909403","doi":"https://doi.org/10.3390/jimaging4060074","title":"A Review of Supervised Edge Detection Evaluation Methods and an Objective Comparison of Filtering Gradient Computations Using Hysteresis Thresholds","display_name":"A Review of Supervised Edge Detection Evaluation Methods and an Objective Comparison of Filtering Gradient Computations Using Hysteresis Thresholds","publication_year":2018,"publication_date":"2018-05-31","ids":{"openalex":"https://openalex.org/W2805909403","doi":"https://doi.org/10.3390/jimaging4060074","mag":"2805909403"},"language":"en","primary_location":{"id":"doi:10.3390/jimaging4060074","is_oa":true,"landing_page_url":"https://doi.org/10.3390/jimaging4060074","pdf_url":"https://www.mdpi.com/2313-433X/4/6/74/pdf?version=1527947963","source":{"id":"https://openalex.org/S2736465063","display_name":"Journal of Imaging","issn_l":"2313-433X","issn":["2313-433X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Imaging","raw_type":"journal-article"},"type":"review","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2313-433X/4/6/74/pdf?version=1527947963","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5066435512","display_name":"Baptiste Magnier","orcid":"https://orcid.org/0000-0003-3458-0552"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Baptiste Magnier","raw_affiliation_strings":["IMT Mines d\u2019Al\u00e8s, Laboratoire de G\u00e9nie Informatique et d\u2019Ing\u00e9nierie de Production (LGI2P), 6. avenue de Clavi\u00e8res, 30100 Al\u00e8s, France"],"affiliations":[{"raw_affiliation_string":"IMT Mines d\u2019Al\u00e8s, Laboratoire de G\u00e9nie Informatique et d\u2019Ing\u00e9nierie de Production (LGI2P), 6. avenue de Clavi\u00e8res, 30100 Al\u00e8s, France","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020334029","display_name":"Hasan Abdulrahman","orcid":"https://orcid.org/0000-0001-5864-9898"},"institutions":[{"id":"https://openalex.org/I4210143651","display_name":"Northern Technical University","ror":"https://ror.org/03ytenv10","country_code":"IQ","type":"education","lineage":["https://openalex.org/I4210143651"]}],"countries":["IQ"],"is_corresponding":false,"raw_author_name":"Hasan Abdulrahman","raw_affiliation_strings":["Northern Technical University, Department of Technical Computer systems, Kirkuk 36001, Iraki"],"affiliations":[{"raw_affiliation_string":"Northern Technical University, Department of Technical Computer systems, Kirkuk 36001, Iraki","institution_ids":["https://openalex.org/I4210143651"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103122743","display_name":"Philippe Montesinos","orcid":"https://orcid.org/0000-0003-3741-8702"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Philippe Montesinos","raw_affiliation_strings":["IMT Mines d\u2019Al\u00e8s, Laboratoire de G\u00e9nie Informatique et d\u2019Ing\u00e9nierie de Production (LGI2P), 6. avenue de Clavi\u00e8res, 30100 Al\u00e8s, France"],"affiliations":[{"raw_affiliation_string":"IMT Mines d\u2019Al\u00e8s, Laboratoire de G\u00e9nie Informatique et d\u2019Ing\u00e9nierie de Production (LGI2P), 6. avenue de Clavi\u00e8res, 30100 Al\u00e8s, France","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5066435512"],"corresponding_institution_ids":[],"apc_list":{"value":1600,"currency":"CHF","value_usd":1732},"apc_paid":{"value":1600,"currency":"CHF","value_usd":1732},"fwci":2.1936,"has_fulltext":false,"cited_by_count":41,"citation_normalized_percentile":{"value":0.91184206,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"4","issue":"6","first_page":"74","last_page":"74"},"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/T10627","display_name":"Advanced Image and Video Retrieval 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/T10036","display_name":"Advanced Neural Network Applications","score":0.9987000226974487,"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/false-positives-and-false-negatives","display_name":"False positives and false negatives","score":0.7615190744400024},{"id":"https://openalex.org/keywords/false-positive-paradox","display_name":"False positive paradox","score":0.7272065281867981},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.7127615809440613},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6885273456573486},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.6416760683059692},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.6376127004623413},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6263728141784668},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5415712594985962},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4977843761444092},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48055222630500793},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4772481918334961},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.4454428553581238},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.44065871834754944},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3754112720489502},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.37195098400115967},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.326138973236084},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.28524070978164673}],"concepts":[{"id":"https://openalex.org/C112789634","wikidata":"https://www.wikidata.org/wiki/Q18207010","display_name":"False positives and false negatives","level":3,"score":0.7615190744400024},{"id":"https://openalex.org/C64869954","wikidata":"https://www.wikidata.org/wiki/Q1859747","display_name":"False positive paradox","level":2,"score":0.7272065281867981},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.7127615809440613},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6885273456573486},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.6416760683059692},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.6376127004623413},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6263728141784668},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5415712594985962},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4977843761444092},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48055222630500793},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4772481918334961},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.4454428553581238},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.44065871834754944},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3754112720489502},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.37195098400115967},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.326138973236084},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28524070978164673},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/jimaging4060074","is_oa":true,"landing_page_url":"https://doi.org/10.3390/jimaging4060074","pdf_url":"https://www.mdpi.com/2313-433X/4/6/74/pdf?version=1527947963","source":{"id":"https://openalex.org/S2736465063","display_name":"Journal of Imaging","issn_l":"2313-433X","issn":["2313-433X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Imaging","raw_type":"journal-article"},{"id":"pmh:oai:HAL:hal-01945912v1","is_oa":false,"landing_page_url":"https://hal.science/hal-01945912","pdf_url":null,"source":{"id":"https://openalex.org/S4406922466","display_name":"SPIRE - Sciences Po Institutional REpository","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Imaging, 2018, 4 (6), pp.74. &#x27E8;10.3390/jimaging4060074&#x27E9;","raw_type":"Journal articles"},{"id":"pmh:oai:doaj.org/article:d3e89faa0dc34282b7149ec5530e281c","is_oa":true,"landing_page_url":"https://doaj.org/article/d3e89faa0dc34282b7149ec5530e281c","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Imaging, Vol 4, Iss 6, p 74 (2018)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2313-433X/4/6/74/","is_oa":true,"landing_page_url":"http://doi.org/10.3390/jimaging4060074","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Imaging","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/jimaging4060074","is_oa":true,"landing_page_url":"https://doi.org/10.3390/jimaging4060074","pdf_url":"https://www.mdpi.com/2313-433X/4/6/74/pdf?version=1527947963","source":{"id":"https://openalex.org/S2736465063","display_name":"Journal of Imaging","issn_l":"2313-433X","issn":["2313-433X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Imaging","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.7599999904632568}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2805909403.pdf","grobid_xml":"https://content.openalex.org/works/W2805909403.grobid-xml"},"referenced_works_count":79,"referenced_works":["https://openalex.org/W1499677203","https://openalex.org/W1534362971","https://openalex.org/W1547836497","https://openalex.org/W1608746480","https://openalex.org/W1629427644","https://openalex.org/W1819990927","https://openalex.org/W1820172502","https://openalex.org/W1963833398","https://openalex.org/W1966861145","https://openalex.org/W1966992150","https://openalex.org/W1968161371","https://openalex.org/W1975559841","https://openalex.org/W1976526581","https://openalex.org/W1980281912","https://openalex.org/W1984784972","https://openalex.org/W1985439959","https://openalex.org/W1987260875","https://openalex.org/W1987869189","https://openalex.org/W1989157921","https://openalex.org/W1990773344","https://openalex.org/W1991605728","https://openalex.org/W1996070955","https://openalex.org/W2003370853","https://openalex.org/W2003505259","https://openalex.org/W2003513369","https://openalex.org/W2018392995","https://openalex.org/W2024168391","https://openalex.org/W2030332758","https://openalex.org/W2031117414","https://openalex.org/W2031236760","https://openalex.org/W2061882508","https://openalex.org/W2068016897","https://openalex.org/W2069562432","https://openalex.org/W2081063051","https://openalex.org/W2103304264","https://openalex.org/W2104635202","https://openalex.org/W2105503847","https://openalex.org/W2107105977","https://openalex.org/W2109854212","https://openalex.org/W2110158442","https://openalex.org/W2115434498","https://openalex.org/W2119823327","https://openalex.org/W2121927366","https://openalex.org/W2124592837","https://openalex.org/W2125820559","https://openalex.org/W2133003941","https://openalex.org/W2145023731","https://openalex.org/W2151459975","https://openalex.org/W2151821220","https://openalex.org/W2153394113","https://openalex.org/W2156206330","https://openalex.org/W2164507445","https://openalex.org/W2239224477","https://openalex.org/W2344635834","https://openalex.org/W2414273378","https://openalex.org/W2551680979","https://openalex.org/W2753766022","https://openalex.org/W2756398854","https://openalex.org/W2779007286","https://openalex.org/W2810260224","https://openalex.org/W3126800624","https://openalex.org/W3138771162","https://openalex.org/W3175909335","https://openalex.org/W4231277110","https://openalex.org/W4360601543","https://openalex.org/W6629644485","https://openalex.org/W6651155528","https://openalex.org/W6651285836","https://openalex.org/W6656636824","https://openalex.org/W6658331582","https://openalex.org/W6658533811","https://openalex.org/W6676108343","https://openalex.org/W6676404703","https://openalex.org/W6677453604","https://openalex.org/W6683549824","https://openalex.org/W6744235192","https://openalex.org/W6745062194","https://openalex.org/W6792221166","https://openalex.org/W6806421124"],"related_works":["https://openalex.org/W1557094818","https://openalex.org/W2183246718","https://openalex.org/W4292605373","https://openalex.org/W1973412793","https://openalex.org/W4226316650","https://openalex.org/W2099261052","https://openalex.org/W2951146195","https://openalex.org/W3123215897","https://openalex.org/W2153600354","https://openalex.org/W4243739114"],"abstract_inverted_index":{"Useful":[0],"for":[1],"human":[2],"visual":[3,32],"perception,":[4],"edge":[5,41,74,98,111,119,188,207,331,344,362,385,398,412,428,434],"detection":[6,24,42,112,189,386,429],"remains":[7],"a":[8,56,64,72,77,81,88,92,95,101,107,116,128,159,163,179,204,224,369,383,396,405,420],"crucial":[9],"stage":[10],"in":[11,22,55,375],"numerous":[12],"image":[13],"processing":[14],"applications.":[15],"One":[16],"of":[17,109,138,186,220,223,233,242,251,271,283,299,312,324,356,371,382,419,426],"the":[18,136,173,176,221,231,240,249,269,281,294,309,313,321,325,329,335,357,372,376,392,410,416,424,433,441,450],"most":[19],"challenging":[20],"goals":[21],"contour":[23,180,225],"is":[25,44,211,290,437],"to":[26,48,63,68,126,328,334,415,440],"operate":[27],"algorithms":[28],"that":[29,39,346,449],"can":[30,278],"process":[31,67],"information":[33],"as":[34,368],"humans":[35],"require.":[36],"To":[37,84],"ensure":[38],"an":[40,217,284,287,427],"technique":[43],"reliable,":[45],"it":[46],"needs":[47],"be":[49,183,193,401],"rigorously":[50],"assessed":[51],"before":[52],"being":[53],"used":[54],"computer":[57],"vision":[58],"tool.":[59],"This":[60,104],"assessment":[61,190,289],"corresponds":[62,327],"supervised":[65,89,110,206],"evaluation":[66,90,113,219,430,460],"quantify":[69],"differences":[70],"between":[71,94],"reference":[73],"map":[75,99,208,226,413,435],"and":[76,100,236,239,246,360,366,395],"candidate,":[78],"computed":[79],"by":[80,227,292,303,307,317],"performance":[82],"measure/criterion.":[83],"achieve":[85],"this":[86,202],"task,":[87],"computes":[91],"score":[93,323,418],"ground":[96,117,336,442],"truth":[97,118,443],"candidate":[102],"image.":[103,378],"paper":[105],"presents":[106],"survey":[108],"methods.":[114],"Considering":[115],"map,":[120,332],"various":[121],"methods":[122,150,191],"have":[123],"been":[124],"developed":[125],"assess":[127],"desired":[129,272,451],"contour.":[130],"Several":[131],"techniques":[132],"are":[133,157,340,347,364,453],"based":[134],"on":[135,162,297],"number":[137,232],"false":[139,141,166,234,237,253,258,263,275],"positive,":[140],"negative,":[142],"true":[143,146,164],"positive":[144,259],"and/or":[145],"negative":[147,254,276],"points.":[148],"Other":[149],"strongly":[151],"penalize":[152],"misplaced":[153],"points":[154,255,264,277],"when":[155],"they":[156],"outside":[158],"window":[160],"centered":[161],"or":[165,349,444],"point.":[167],"In":[168,201,408],"addition,":[169,409],"many":[170],"approaches":[171],"compute":[172],"distance":[174],"from":[175],"position":[177],"where":[178],"point":[181],"should":[182],"located.":[184],"Most":[185],"these":[187],"will":[192],"detailed,":[194],"highlighting":[195],"their":[196],"drawbacks":[197],"using":[198,342,458],"several":[199],"examples.":[200],"study,":[203],"new":[205,214],"quality":[209,222],"measure":[210,215,326,387,422,431],"proposed.":[212],"The":[213,354,379],"provides":[216],"overall":[218],"taking":[228],"into":[229],"account":[230],"positives":[235],"negatives,":[238],"degrees":[241],"shifting.":[243],"Numerous":[244],"examples":[245],"experiments":[247,447],"show":[248],"importance":[250],"penalizing":[252],"differently":[256],"than":[257,404],"pixels":[260],"because":[261],"some":[262],"may":[265],"not":[266,350,454],"necessarily":[267],"disturb":[268],"visibility":[270],"objects,":[273],"whereas":[274],"significantly":[279],"change":[280],"aspect":[282],"object.":[285],"Finally,":[286],"objective":[288],"performed":[291],"varying":[293,308],"hysteresis":[295,310],"thresholds":[296,311],"contours":[298],"real":[300],"images":[301],"obtained":[302,316,411,436],"filtering":[304,318],"techniques.":[305],"Theoretically,":[306],"thin":[314],"edges":[315],"gradient":[319],"computations,":[320],"minimum":[322,417],"best":[330],"compared":[333,341],"truth.":[337],"Twenty-eight":[338],"measures":[339,359],"different":[343,358,361],"detectors":[345,363],"robust":[348,351],"regarding":[352],"noise.":[353],"scores":[355],"recorded":[365],"plotted":[367,380],"function":[370],"noise":[373,393],"level":[374,394],"original":[377],"curve":[381],"reliable":[384,397],"must":[388,400],"increase":[389],"monotonously":[390],"with":[391],"detector":[399],"less":[402],"penalized":[403],"poor":[406],"detector.":[407],"tied":[414],"considered":[421],"exposes":[423],"reliability":[425],"if":[432],"visually":[438],"closer":[439],"not.":[445],"Hence,":[446],"illustrate":[448],"objects":[452],"always":[455],"completely":[456],"visible":[457],"ill-suited":[459],"measure.":[461]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
