{"id":"https://openalex.org/W4296911032","doi":"https://doi.org/10.1109/enc56672.2022.9882944","title":"Nanoparticles diameter characterization using image analysis methodology","display_name":"Nanoparticles diameter characterization using image analysis methodology","publication_year":2022,"publication_date":"2022-08-24","ids":{"openalex":"https://openalex.org/W4296911032","doi":"https://doi.org/10.1109/enc56672.2022.9882944"},"language":"en","primary_location":{"id":"doi:10.1109/enc56672.2022.9882944","is_oa":false,"landing_page_url":"https://doi.org/10.1109/enc56672.2022.9882944","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE Mexican International Conference on Computer Science (ENC)","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/A5087526611","display_name":"Luis A. Jara-Lugo","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Luis A. Jara-Lugo","raw_affiliation_strings":["Instituto de Ingeniería, Universidad Autónoma de Baja California,Mexicali,México"],"affiliations":[{"raw_affiliation_string":"Instituto de Ingeniería, Universidad Autónoma de Baja California,Mexicali,México","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063594077","display_name":"Jesus Caro-Gutierrcz","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jesus Caro-Gutierrcz","raw_affiliation_strings":["Instituto de Ingeniería, Universidad Autónoma de Baja California,Mexicali,México"],"affiliations":[{"raw_affiliation_string":"Instituto de Ingeniería, Universidad Autónoma de Baja California,Mexicali,México","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070899220","display_name":"F\u00e9lix F. Gonz\u00e1lez-Navarro","orcid":"https://orcid.org/0000-0002-9627-676X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Felix F. Gonzalez-Navarro","raw_affiliation_strings":["Instituto de Ingeniería, Universidad Autónoma de Baja California,Mexicali,México"],"affiliations":[{"raw_affiliation_string":"Instituto de Ingeniería, Universidad Autónoma de Baja California,Mexicali,México","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022976340","display_name":"Mario Curiel","orcid":"https://orcid.org/0000-0002-4141-1020"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mario A. Curiel-Alvarez","raw_affiliation_strings":["Instituto de Ingeniería, Universidad Autónoma de Baja California,Mexicali,México"],"affiliations":[{"raw_affiliation_string":"Instituto de Ingeniería, Universidad Autónoma de Baja California,Mexicali,México","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057392931","display_name":"Oscar Perez\u2010Landeros","orcid":"https://orcid.org/0000-0001-9027-8820"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Oscar M. Perez-Landeros","raw_affiliation_strings":["Instituto de Ingeniería, Universidad Autónoma de Baja California,Mexicali,México"],"affiliations":[{"raw_affiliation_string":"Instituto de Ingeniería, Universidad Autónoma de Baja California,Mexicali,México","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065919951","display_name":"N. Nedev","orcid":"https://orcid.org/0000-0003-3391-010X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nicola Radnev-Nedev","raw_affiliation_strings":["Instituto de Ingeniería, Universidad Autónoma de Baja California,Mexicali,México"],"affiliations":[{"raw_affiliation_string":"Instituto de Ingeniería, Universidad Autónoma de Baja California,Mexicali,México","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5087526611"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05877354,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"11","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9936000108718872,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.9936000108718872,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.9918000102043152,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9896000027656555,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.674314022064209},{"id":"https://openalex.org/keywords/adaptive-histogram-equalization","display_name":"Adaptive histogram equalization","score":0.6451884508132935},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6175330877304077},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.6013075709342957},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4749745726585388},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.45350363850593567},{"id":"https://openalex.org/keywords/k-means-clustering","display_name":"k-means clustering","score":0.44444844126701355},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.43703004717826843},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.43535006046295166},{"id":"https://openalex.org/keywords/nanoparticle","display_name":"Nanoparticle","score":0.42717477679252625},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.41584721207618713},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4105760455131531},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37067845463752747},{"id":"https://openalex.org/keywords/histogram-equalization","display_name":"Histogram equalization","score":0.3065049648284912},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.29239004850387573},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.20409297943115234},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1822507679462433},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08843928575515747},{"id":"https://openalex.org/keywords/nanotechnology","display_name":"Nanotechnology","score":0.07706817984580994}],"concepts":[{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.674314022064209},{"id":"https://openalex.org/C30387639","wikidata":"https://www.wikidata.org/wiki/Q4680744","display_name":"Adaptive histogram equalization","level":5,"score":0.6451884508132935},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6175330877304077},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.6013075709342957},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4749745726585388},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.45350363850593567},{"id":"https://openalex.org/C207968372","wikidata":"https://www.wikidata.org/wiki/Q310401","display_name":"k-means clustering","level":3,"score":0.44444844126701355},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.43703004717826843},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.43535006046295166},{"id":"https://openalex.org/C155672457","wikidata":"https://www.wikidata.org/wiki/Q61231","display_name":"Nanoparticle","level":2,"score":0.42717477679252625},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.41584721207618713},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4105760455131531},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37067845463752747},{"id":"https://openalex.org/C136943445","wikidata":"https://www.wikidata.org/wiki/Q1970240","display_name":"Histogram equalization","level":4,"score":0.3065049648284912},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.29239004850387573},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.20409297943115234},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1822507679462433},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08843928575515747},{"id":"https://openalex.org/C171250308","wikidata":"https://www.wikidata.org/wiki/Q11468","display_name":"Nanotechnology","level":1,"score":0.07706817984580994}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/enc56672.2022.9882944","is_oa":false,"landing_page_url":"https://doi.org/10.1109/enc56672.2022.9882944","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE Mexican International Conference on Computer Science (ENC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W332248215","https://openalex.org/W2057691802","https://openalex.org/W2072561351","https://openalex.org/W2099540110","https://openalex.org/W2138825607","https://openalex.org/W2154385335","https://openalex.org/W2319269561","https://openalex.org/W2323367450","https://openalex.org/W2779376965","https://openalex.org/W2917196829","https://openalex.org/W2976642235","https://openalex.org/W3081706073","https://openalex.org/W4247663104","https://openalex.org/W6680497045"],"related_works":["https://openalex.org/W2057981026","https://openalex.org/W2256021896","https://openalex.org/W2122866860","https://openalex.org/W2165297163","https://openalex.org/W2134986978","https://openalex.org/W2398368608","https://openalex.org/W1583737874","https://openalex.org/W1994424557","https://openalex.org/W2024449420","https://openalex.org/W3084145657"],"abstract_inverted_index":{"Methods":[0],"for":[1,21,31],"automatic":[2,32],"nanoparticles":[3,33,40],"detection,":[4],"shape":[5],"analysis":[6],"and":[7,59,81,101],"size":[8],"estimation":[9],"have":[10],"obtained":[11,44,63],"importance":[12],"to":[13,78],"provide":[14],"quantitative":[15],"support":[16],"that":[17,112],"gives":[18],"significant":[19],"information":[20],"evaluation":[22],"in":[23,51],"Materials":[24],"Science.":[25],"This":[26],"paper":[27],"presents":[28],"a":[29,119],"methodology":[30],"diameter":[34],"characterization":[35],"by":[36,45],"image":[37],"analysis.":[38],"A":[39],"images":[41,61],"database":[42],"was":[43,75],"means":[46],"of":[47,55,128],"an":[48,69],"electron":[49],"microscope":[50],"the":[52],"Autonomous":[53],"University":[54],"Baja":[56],"California":[57],"(UABC)":[58],"other":[60],"were":[62,96],"from":[64],"nanoComposix":[65],"web":[66],"page.":[67],"Firstly,":[68],"adaptive":[70],"Wiener":[71],"Filtering":[72],"Method":[73,87],"(AWF)":[74],"carried":[76],"out":[77],"remove":[79],"noise":[80],"Contrast":[82],"Limited":[83],"Adaptive":[84,102],"Histogram":[85],"Equalization":[86],"(CLAHE)":[88],"as":[89],"enhancement":[90],"step.":[91],"Later":[92],"two":[93],"segmentation":[94],"methods":[95],"compared:":[97],"K-means":[98],"Clustering":[99],"(KMC)":[100],"Thresholding":[103],"(AT),":[104],"both":[105],"with":[106],"MATLAB":[107],"programming":[108],"environment.":[109],"Results":[110],"showed":[111],"KMC":[113,120],"performed":[114],"better":[115],"than":[116],"AT":[117,126],"i.e.,":[118],"mean":[121],"square":[122],"error":[123],"41.98":[124],"vs":[125],"MSE":[127],"172.11.":[129]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}