{"id":"https://openalex.org/W4200590587","doi":"https://doi.org/10.1109/clei53233.2021.9639975","title":"Microscopy Mineral Image Enhancement Using Multiscale Top-Hat Transform","display_name":"Microscopy Mineral Image Enhancement Using Multiscale Top-Hat Transform","publication_year":2021,"publication_date":"2021-10-25","ids":{"openalex":"https://openalex.org/W4200590587","doi":"https://doi.org/10.1109/clei53233.2021.9639975"},"language":"en","primary_location":{"id":"doi:10.1109/clei53233.2021.9639975","is_oa":false,"landing_page_url":"https://doi.org/10.1109/clei53233.2021.9639975","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 XLVII Latin American Computing Conference (CLEI)","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/A5017068244","display_name":"Julio C\u00e9sar Mello-Rom\u00e1n","orcid":"https://orcid.org/0000-0002-3698-4043"},"institutions":[{"id":"https://openalex.org/I8379220","display_name":"Universidad Nacional de Asunci\u00f3n","ror":"https://ror.org/03f27y887","country_code":"PY","type":"education","lineage":["https://openalex.org/I8379220"]}],"countries":["PY"],"is_corresponding":false,"raw_author_name":"Julio Cesar Mello-Roman","raw_affiliation_strings":["Universidad Nacional de Asunción,Facultad Politécnica,Asunción,Paraguay"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad Nacional de Asunción,Facultad Politécnica,Asunción,Paraguay","institution_ids":["https://openalex.org/I8379220"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028615417","display_name":"Jos\u00e9 Luis V\u00e1zquez Noguera","orcid":"https://orcid.org/0000-0002-9766-4182"},"institutions":[{"id":"https://openalex.org/I8379220","display_name":"Universidad Nacional de Asunci\u00f3n","ror":"https://ror.org/03f27y887","country_code":"PY","type":"education","lineage":["https://openalex.org/I8379220"]}],"countries":["PY"],"is_corresponding":false,"raw_author_name":"Jose Luis Vazquez Noguera","raw_affiliation_strings":["Universidad Nacional de Asunción,Facultad Politécnica,Asunción,Paraguay"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad Nacional de Asunción,Facultad Politécnica,Asunción,Paraguay","institution_ids":["https://openalex.org/I8379220"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001157444","display_name":"Horacio Legal-Ayala","orcid":"https://orcid.org/0000-0002-1790-2559"},"institutions":[{"id":"https://openalex.org/I8379220","display_name":"Universidad Nacional de Asunci\u00f3n","ror":"https://ror.org/03f27y887","country_code":"PY","type":"education","lineage":["https://openalex.org/I8379220"]}],"countries":["PY"],"is_corresponding":false,"raw_author_name":"Horacio Legal-Ayala","raw_affiliation_strings":["Universidad Nacional de Asunción,Facultad Politécnica,Asunción,Paraguay"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad Nacional de Asunción,Facultad Politécnica,Asunción,Paraguay","institution_ids":["https://openalex.org/I8379220"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027987805","display_name":"Diego P. Pinto-Roa","orcid":"https://orcid.org/0000-0003-2479-9876"},"institutions":[{"id":"https://openalex.org/I8379220","display_name":"Universidad Nacional de Asunci\u00f3n","ror":"https://ror.org/03f27y887","country_code":"PY","type":"education","lineage":["https://openalex.org/I8379220"]}],"countries":["PY"],"is_corresponding":false,"raw_author_name":"Diego P. Pinto-Roa","raw_affiliation_strings":["Universidad Nacional de Asunción,Facultad Politécnica,Asunción,Paraguay"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad Nacional de Asunción,Facultad Politécnica,Asunción,Paraguay","institution_ids":["https://openalex.org/I8379220"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028867834","display_name":"Magna Monteiro","orcid":"https://orcid.org/0000-0002-5078-7214"},"institutions":[{"id":"https://openalex.org/I8379220","display_name":"Universidad Nacional de Asunci\u00f3n","ror":"https://ror.org/03f27y887","country_code":"PY","type":"education","lineage":["https://openalex.org/I8379220"]}],"countries":["PY"],"is_corresponding":false,"raw_author_name":"Magna Maria Monteiro","raw_affiliation_strings":["Universidad Nacional de Asunción,Facultad Politécnica,Asunción,Paraguay"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad Nacional de Asunción,Facultad Politécnica,Asunción,Paraguay","institution_ids":["https://openalex.org/I8379220"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033721595","display_name":"Jes\u00fas C\u00e9sar Ariel L\u00f3pez Colm\u00e1n","orcid":null},"institutions":[{"id":"https://openalex.org/I4210159733","display_name":"Universidad Nacional de Concepci\u00f3n","ror":"https://ror.org/05kw3dt68","country_code":"PY","type":"education","lineage":["https://openalex.org/I4210159733"]}],"countries":["PY"],"is_corresponding":false,"raw_author_name":"Jesus Cesar Ariel Lopez Colman","raw_affiliation_strings":["Universidad Nacional de Concepción,Ingenieria en Informática Empresarial Facultad de Ciencias Económicas y Administrativas,Asunción,Paraguay"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidad Nacional de Concepción,Ingenieria en Informática Empresarial Facultad de Ciencias Económicas y Administrativas,Asunción,Paraguay","institution_ids":["https://openalex.org/I4210159733"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1265,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.52938734,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9993000030517578,"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":0.9993000030517578,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9980000257492065,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9968000054359436,"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/contrast","display_name":"Contrast (vision)","score":0.7016403675079346},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5509013533592224},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5194463133811951},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4781942367553711},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4681399464607239},{"id":"https://openalex.org/keywords/image-contrast","display_name":"Image contrast","score":0.46611979603767395},{"id":"https://openalex.org/keywords/microscopy","display_name":"Microscopy","score":0.46107080578804016},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.45775967836380005},{"id":"https://openalex.org/keywords/contrast-enhancement","display_name":"Contrast enhancement","score":0.45730024576187134},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.4380326569080353},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.42668479681015015},{"id":"https://openalex.org/keywords/top-hat-transform","display_name":"Top-hat transform","score":0.41987723112106323},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40522301197052},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.3987200856208801},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.28847357630729675},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.19931894540786743},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1960873007774353}],"concepts":[{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.7016403675079346},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5509013533592224},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5194463133811951},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4781942367553711},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4681399464607239},{"id":"https://openalex.org/C3018302497","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Image contrast","level":2,"score":0.46611979603767395},{"id":"https://openalex.org/C147080431","wikidata":"https://www.wikidata.org/wiki/Q1074953","display_name":"Microscopy","level":2,"score":0.46107080578804016},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.45775967836380005},{"id":"https://openalex.org/C3018181011","wikidata":"https://www.wikidata.org/wiki/Q6849688","display_name":"Contrast enhancement","level":3,"score":0.45730024576187134},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.4380326569080353},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.42668479681015015},{"id":"https://openalex.org/C180064427","wikidata":"https://www.wikidata.org/wiki/Q2880017","display_name":"Top-hat transform","level":5,"score":0.41987723112106323},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40522301197052},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.3987200856208801},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.28847357630729675},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.19931894540786743},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1960873007774353},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/clei53233.2021.9639975","is_oa":false,"landing_page_url":"https://doi.org/10.1109/clei53233.2021.9639975","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 XLVII Latin American Computing Conference (CLEI)","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":40,"referenced_works":["https://openalex.org/W834939556","https://openalex.org/W1587993577","https://openalex.org/W1956960480","https://openalex.org/W1992722249","https://openalex.org/W2001412060","https://openalex.org/W2015721143","https://openalex.org/W2028035982","https://openalex.org/W2064162616","https://openalex.org/W2076922545","https://openalex.org/W2098563979","https://openalex.org/W2099540110","https://openalex.org/W2110360419","https://openalex.org/W2121495804","https://openalex.org/W2150734623","https://openalex.org/W2467628122","https://openalex.org/W2540164723","https://openalex.org/W2767426010","https://openalex.org/W2783450711","https://openalex.org/W2791099247","https://openalex.org/W2792872587","https://openalex.org/W2891886351","https://openalex.org/W2912345866","https://openalex.org/W2918816987","https://openalex.org/W2931527732","https://openalex.org/W2950899823","https://openalex.org/W2952610069","https://openalex.org/W2954901167","https://openalex.org/W2964074553","https://openalex.org/W2999176684","https://openalex.org/W3043799634","https://openalex.org/W3045034870","https://openalex.org/W3046761903","https://openalex.org/W3096903564","https://openalex.org/W3159369536","https://openalex.org/W4231295697","https://openalex.org/W4249968900","https://openalex.org/W4250969944","https://openalex.org/W4253368012","https://openalex.org/W4376453519","https://openalex.org/W6749516529"],"related_works":["https://openalex.org/W2890853391","https://openalex.org/W1847360884","https://openalex.org/W4289547737","https://openalex.org/W2912022864","https://openalex.org/W3009327912","https://openalex.org/W2376933780","https://openalex.org/W2379111982","https://openalex.org/W2393933564","https://openalex.org/W2390497845","https://openalex.org/W2353582167"],"abstract_inverted_index":{"The":[0],"acquisition":[1],"of":[2,5,17,27,39,46,60,77,106,153,161],"microscopic":[3,25,58,154],"images":[4,26,59,156,175],"minerals":[6,28,61],"with":[7],"good":[8],"contrast":[9,67,127],"is":[10],"critical":[11],"for":[12,125,139],"the":[13,24,34,40,57,71,78,84,97,104,107,114,121,133,140,146,158,165,168,174],"identification":[14],"and":[15,74,91,110,135,170],"analysis":[16],"their":[18],"properties.":[19],"However,":[20],"in":[21,96],"many":[22],"cases,":[23],"obtained":[29,95],"are":[30,81,100,117,129,143],"unclear":[31],"due":[32],"to":[33,55,132],"image":[35,80,134],"environment,":[36],"imperfect":[37],"adjustment":[38,68],"microscopy":[41],"operators":[42],"or":[43],"improper":[44],"collection":[45],"samples.":[47],"In":[48],"this":[49,162],"paper,":[50],"we":[51],"present":[52],"an":[53],"algorithm":[54],"enhance":[56],"by":[62],"multiscale":[63],"Top-Hat":[64],"transform":[65],"using":[66,83],"weights.":[69],"First,":[70],"multiple":[72,108],"dark":[73,92,109,136],"bright":[75,88,111,122],"features":[76,112,123,137],"mineral":[79,155],"extracted":[82],"top-hat":[85],"transform.":[86],"Secondly,":[87],"scale":[89,93],"differences":[90,94],"previous":[98,115],"step":[99],"calculated.":[101],"Third,":[102],"all":[103],"intensities":[105],"from":[113,145],"steps":[116],"summed":[118],"separately.":[119],"Finally,":[120],"adjusted":[124,138],"a":[126],"weight":[128,142],"then":[130],"added":[131],"same":[141],"subtracted":[144],"image.":[147],"Experimental":[148],"results":[149],"on":[150],"various":[151],"kinds":[152],"verified":[157],"effective":[159],"performance":[160],"proposed":[163],"enhancing":[164],"contrast,":[166],"improving":[167],"detail":[169],"spatial":[171],"information":[172],"about":[173]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}