{"id":"https://openalex.org/W2099259574","doi":"https://doi.org/10.1109/indin.2009.5195878","title":"Feature extraction using coordinate logic filters and Artificial Neural Networks","display_name":"Feature extraction using coordinate logic filters and Artificial Neural Networks","publication_year":2009,"publication_date":"2009-06-01","ids":{"openalex":"https://openalex.org/W2099259574","doi":"https://doi.org/10.1109/indin.2009.5195878","mag":"2099259574"},"language":"en","primary_location":{"id":"doi:10.1109/indin.2009.5195878","is_oa":false,"landing_page_url":"https://doi.org/10.1109/indin.2009.5195878","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 7th IEEE International Conference on Industrial Informatics","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/A5051960674","display_name":"J. Quintanilla-Dom\u00ednguez","orcid":"https://orcid.org/0000-0003-2442-2032"},"institutions":[{"id":"https://openalex.org/I88060688","display_name":"Universidad Polit\u00e9cnica de Madrid","ror":"https://ror.org/03n6nwv02","country_code":"ES","type":"education","lineage":["https://openalex.org/I88060688"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"J. Quintanilla-Dominguez","raw_affiliation_strings":["Grupo de Automatizaci\u00f3n de Se\u00f1al y Comunicaciones, Universidad Polit\u00e9cnica de Madrid, Madrid, Spain","Grupo de Automatizacion de Se\u00f1al y Comunicaciones, Universidad Polit\u00e9cnica de Madrid, Spain"],"affiliations":[{"raw_affiliation_string":"Grupo de Automatizaci\u00f3n de Se\u00f1al y Comunicaciones, Universidad Polit\u00e9cnica de Madrid, Madrid, Spain","institution_ids":["https://openalex.org/I88060688"]},{"raw_affiliation_string":"Grupo de Automatizacion de Se\u00f1al y Comunicaciones, Universidad Polit\u00e9cnica de Madrid, Spain","institution_ids":["https://openalex.org/I88060688"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054757447","display_name":"Melani Sanchez-Garcia","orcid":"https://orcid.org/0000-0002-5656-1582"},"institutions":[{"id":"https://openalex.org/I129858807","display_name":"Universidad de Guanajuato","ror":"https://ror.org/058cjye32","country_code":"MX","type":"education","lineage":["https://openalex.org/I129858807"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"M. Sanchez-Garcia","raw_affiliation_strings":["Laboratorio de Inteligencia Computacional, Universidad de Guanajuato, Guanajuato, Mexico","Laboratorio de Inteligencia Computacional, Universidad de Guanajuato, M\u00e9xico#TAB#"],"affiliations":[{"raw_affiliation_string":"Laboratorio de Inteligencia Computacional, Universidad de Guanajuato, Guanajuato, Mexico","institution_ids":["https://openalex.org/I129858807"]},{"raw_affiliation_string":"Laboratorio de Inteligencia Computacional, Universidad de Guanajuato, M\u00e9xico#TAB#","institution_ids":["https://openalex.org/I129858807"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010303928","display_name":"M. Gozalez-Romo","orcid":null},"institutions":[{"id":"https://openalex.org/I129858807","display_name":"Universidad de Guanajuato","ror":"https://ror.org/058cjye32","country_code":"MX","type":"education","lineage":["https://openalex.org/I129858807"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"M. Gozalez-Romo","raw_affiliation_strings":["Laboratorio de Inteligencia Computacional, Universidad de Guanajuato, Guanajuato, Mexico","Laboratorio de Inteligencia Computacional, Universidad de Guanajuato, M\u00e9xico#TAB#"],"affiliations":[{"raw_affiliation_string":"Laboratorio de Inteligencia Computacional, Universidad de Guanajuato, Guanajuato, Mexico","institution_ids":["https://openalex.org/I129858807"]},{"raw_affiliation_string":"Laboratorio de Inteligencia Computacional, Universidad de Guanajuato, M\u00e9xico#TAB#","institution_ids":["https://openalex.org/I129858807"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059407484","display_name":"A. Vega-Corona","orcid":null},"institutions":[{"id":"https://openalex.org/I129858807","display_name":"Universidad de Guanajuato","ror":"https://ror.org/058cjye32","country_code":"MX","type":"education","lineage":["https://openalex.org/I129858807"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"A. Vega-Corona","raw_affiliation_strings":["Laboratorio de Inteligencia Computacional, Universidad de Guanajuato, Guanajuato, Mexico","Laboratorio de Inteligencia Computacional, Universidad de Guanajuato, M\u00e9xico#TAB#"],"affiliations":[{"raw_affiliation_string":"Laboratorio de Inteligencia Computacional, Universidad de Guanajuato, Guanajuato, Mexico","institution_ids":["https://openalex.org/I129858807"]},{"raw_affiliation_string":"Laboratorio de Inteligencia Computacional, Universidad de Guanajuato, M\u00e9xico#TAB#","institution_ids":["https://openalex.org/I129858807"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007955803","display_name":"Diego Andina","orcid":"https://orcid.org/0000-0001-7036-2646"},"institutions":[{"id":"https://openalex.org/I88060688","display_name":"Universidad Polit\u00e9cnica de Madrid","ror":"https://ror.org/03n6nwv02","country_code":"ES","type":"education","lineage":["https://openalex.org/I88060688"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"D. Andina","raw_affiliation_strings":["Grupo de Automatizaci\u00f3n de Se\u00f1al y Comunicaciones, Universidad Polit\u00e9cnica de Madrid, Madrid, Spain","Grupo de Automatizacion de Se\u00f1al y Comunicaciones, Universidad Polit\u00e9cnica de Madrid, Spain"],"affiliations":[{"raw_affiliation_string":"Grupo de Automatizaci\u00f3n de Se\u00f1al y Comunicaciones, Universidad Polit\u00e9cnica de Madrid, Madrid, Spain","institution_ids":["https://openalex.org/I88060688"]},{"raw_affiliation_string":"Grupo de Automatizacion de Se\u00f1al y Comunicaciones, Universidad Polit\u00e9cnica de Madrid, Spain","institution_ids":["https://openalex.org/I88060688"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5051960674"],"corresponding_institution_ids":["https://openalex.org/I88060688"],"apc_list":null,"apc_paid":null,"fwci":3.0532,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.91961994,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"2687","issue":null,"first_page":"644","last_page":"649"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.993399977684021,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10320","display_name":"Neural Networks and Applications","score":0.993399977684021,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9886999726295471,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9789999723434448,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7351450324058533},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7130143642425537},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6710060834884644},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6044541001319885},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.603727400302887},{"id":"https://openalex.org/keywords/histogram-equalization","display_name":"Histogram equalization","score":0.5894805192947388},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.515531063079834},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4935506582260132},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.48294323682785034},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.43252307176589966},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3225155770778656},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.29058024287223816}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7351450324058533},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7130143642425537},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6710060834884644},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6044541001319885},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.603727400302887},{"id":"https://openalex.org/C136943445","wikidata":"https://www.wikidata.org/wiki/Q1970240","display_name":"Histogram equalization","level":4,"score":0.5894805192947388},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.515531063079834},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4935506582260132},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.48294323682785034},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.43252307176589966},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3225155770778656},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.29058024287223816}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/indin.2009.5195878","is_oa":false,"landing_page_url":"https://doi.org/10.1109/indin.2009.5195878","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 7th IEEE International Conference on Industrial Informatics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.6299999952316284}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1496967743","https://openalex.org/W1555773370","https://openalex.org/W1834701464","https://openalex.org/W1866849256","https://openalex.org/W2001466308","https://openalex.org/W2020402396","https://openalex.org/W2028070629","https://openalex.org/W2037920251","https://openalex.org/W2050883594","https://openalex.org/W2064266908","https://openalex.org/W2103763210","https://openalex.org/W2107194725","https://openalex.org/W2109597745","https://openalex.org/W2135397001","https://openalex.org/W2138301942","https://openalex.org/W2140020885","https://openalex.org/W2140546156","https://openalex.org/W2142476243"],"related_works":["https://openalex.org/W2057981026","https://openalex.org/W2256021896","https://openalex.org/W1994424557","https://openalex.org/W2024449420","https://openalex.org/W2181573213","https://openalex.org/W2398368608","https://openalex.org/W2122866860","https://openalex.org/W1990492110","https://openalex.org/W1583737874","https://openalex.org/W2903465195"],"abstract_inverted_index":{"This":[0,83],"paper":[1],"presents":[2],"a":[3,45],"novel":[4],"feature":[5],"extraction":[6,39],"method":[7,28,84,105,115],"using":[8],"the":[9,12,74,103,114],"combination":[10],"of":[11,30,62,93],"Coordinate":[13,54],"Logic":[14,55],"Filters":[15,56],"(CLF)":[16],"and":[17,50,60],"Artificial":[18],"Neural":[19,71,80],"Networks":[20],"(ANN)":[21],"applied":[22,77],"to":[23,87],"2D":[24],"signals":[25],"(Images).":[26],"The":[27,98],"consists":[29],"image":[31],"enhancement":[32],"by":[33,40,53,66],"histogram":[34],"adaptive":[35,47],"equalization":[36],"technique,":[37],"features":[38,64],"modifying":[41],"gray":[42],"levels":[43],"applying":[44],"nonlinear":[46],"transformation":[48],"function":[49],"edge":[51],"detection":[52,75],"(CLF),":[57],"generation,":[58],"clustering":[59],"labelling":[61],"suboptimal":[63],"vectors":[65],"Self":[67],"Organizing":[68],"Map":[69],"(SOM)":[70],"Network.":[72],"For":[73],"we":[76],"Back":[78],"Propagation":[79],"Network":[81],"(BPNN).":[82],"is":[85],"tested":[86],"detect":[88],"Microcalcifications":[89],"(MCs)":[90],"in":[91,109,119],"Regions":[92],"Interest":[94],"(ROI)":[95],"from":[96],"mammograms.":[97],"experiment":[99],"results":[100],"show":[101],"that":[102],"proposed":[104],"can":[106],"locate":[107],"MCs":[108],"an":[110],"efficient":[111],"way,":[112],"moreover":[113],"promise":[116],"interesting":[117],"advances":[118],"Medical":[120],"Industry.":[121]},"counts_by_year":[{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}