{"id":"https://openalex.org/W2059731980","doi":"https://doi.org/10.1109/isda.2010.5687030","title":"Image thresholding using neural network","display_name":"Image thresholding using neural network","publication_year":2010,"publication_date":"2010-11-01","ids":{"openalex":"https://openalex.org/W2059731980","doi":"https://doi.org/10.1109/isda.2010.5687030","mag":"2059731980"},"language":"en","primary_location":{"id":"doi:10.1109/isda.2010.5687030","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isda.2010.5687030","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 10th International Conference on Intelligent Systems Design and Applications","raw_type":"proceedings-article"},"type":"conference-paper","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/A5108746163","display_name":"Ahmed A. Othman","orcid":null},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Ahmed A. Othman","raw_affiliation_strings":["Systems Design Engineering Department, University of Waterloo, Waterloo, ONT, Canada","Systems Design Engineering Dept., University of Waterloo, Waterloo, Ontario, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Systems Design Engineering Department, University of Waterloo, Waterloo, ONT, Canada","institution_ids":["https://openalex.org/I151746483"]},{"raw_affiliation_string":"Systems Design Engineering Dept., University of Waterloo, Waterloo, Ontario, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038566332","display_name":"Hamid R. Tizhoosh","orcid":"https://orcid.org/0000-0001-5488-601X"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Hamid R. Tizhoosh","raw_affiliation_strings":["Systems Design Engineering Department, University of Waterloo, Waterloo, ONT, Canada","Systems Design Engineering Dept., University of Waterloo, Waterloo, Ontario, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Systems Design Engineering Department, University of Waterloo, Waterloo, ONT, Canada","institution_ids":["https://openalex.org/I151746483"]},{"raw_affiliation_string":"Systems Design Engineering Dept., University of Waterloo, Waterloo, Ontario, Canada","institution_ids":["https://openalex.org/I151746483"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I151746483"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"16","issue":null,"first_page":"1159","last_page":"1164"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9970999956130981,"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":0.996999979019165,"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/thresholding","display_name":"Thresholding","score":0.9322776794433594},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.8282553553581238},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7278566360473633},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.676358163356781},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6233260631561279},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.61812824010849},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5791389346122742},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5591503977775574},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5197277069091797},{"id":"https://openalex.org/keywords/balanced-histogram-thresholding","display_name":"Balanced histogram thresholding","score":0.5084227919578552},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5032677054405212},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.47832560539245605},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.43255722522735596},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.42086362838745117},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3504430949687958},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17257168889045715}],"concepts":[{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.9322776794433594},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8282553553581238},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7278566360473633},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.676358163356781},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6233260631561279},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.61812824010849},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5791389346122742},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5591503977775574},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5197277069091797},{"id":"https://openalex.org/C202577368","wikidata":"https://www.wikidata.org/wiki/Q2576067","display_name":"Balanced histogram thresholding","level":5,"score":0.5084227919578552},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5032677054405212},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.47832560539245605},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.43255722522735596},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.42086362838745117},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3504430949687958},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17257168889045715},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C136943445","wikidata":"https://www.wikidata.org/wiki/Q1970240","display_name":"Histogram equalization","level":4,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isda.2010.5687030","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isda.2010.5687030","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 10th International Conference on Intelligent Systems Design and Applications","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":18,"referenced_works":["https://openalex.org/W1964873321","https://openalex.org/W1974960770","https://openalex.org/W2023207665","https://openalex.org/W2030415656","https://openalex.org/W2033527797","https://openalex.org/W2033973976","https://openalex.org/W2034045389","https://openalex.org/W2057762983","https://openalex.org/W2062413904","https://openalex.org/W2071825450","https://openalex.org/W2085177796","https://openalex.org/W2091327364","https://openalex.org/W2112373205","https://openalex.org/W2133003941","https://openalex.org/W2133059825","https://openalex.org/W2134092095","https://openalex.org/W2166270529","https://openalex.org/W6680096826"],"related_works":["https://openalex.org/W1990592446","https://openalex.org/W2032558130","https://openalex.org/W2353864504","https://openalex.org/W2356573839","https://openalex.org/W4237142086","https://openalex.org/W2327601824","https://openalex.org/W2356903262","https://openalex.org/W2106833984","https://openalex.org/W2111883783","https://openalex.org/W2009028679"],"abstract_inverted_index":{"Image":[0],"thresholding":[1,23,35,59],"is":[2,32,65,70,97,114],"a":[3,27,62,73,84],"very":[4,28],"important":[5],"phase":[6],"in":[7],"the":[8,19,91,103,107],"image":[9,120],"analysis":[10],"process.":[11],"However,":[12],"different":[13,16],"images":[14,43,80],"have":[15],"characteristics":[17],"making":[18],"traditional":[20],"process":[21,96],"of":[22,75,106,111],"by":[24,60,116],"one":[25],"algorithm":[26],"challenging":[29],"task.":[30],"That":[31],"because":[33],"any":[34],"method":[36],"may":[37],"be":[38,50],"perform":[39],"well":[40],"for":[41,45,52],"some":[42],"but":[44],"sure":[46],"it":[47],"will":[48],"not":[49],"suitable":[51],"all":[53],"images.":[54,94],"In":[55],"this":[56],"paper,":[57],"intelligent":[58],"training":[61],"neural":[63,68],"network":[64,69],"proposed.":[66],"The":[67,109],"trained":[71],"using":[72,90],"set":[74,86],"features":[76],"extracted":[77],"from":[78],"medical":[79,93],"randomly":[81],"selected":[82],"form":[83],"sample":[85],"and":[87],"then":[88],"tested":[89],"remaining":[92],"This":[95],"repeated":[98],"multiple":[99],"times":[100],"to":[101],"verify":[102],"generalization":[104],"ability":[105],"network.":[108],"average":[110],"segmentation":[112],"accuracy":[113],"calculated":[115],"comparing":[117],"every":[118],"segmented":[119],"with":[121],"its":[122],"gold":[123],"standard":[124],"image.":[125]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
