{"id":"https://openalex.org/W2126350759","doi":"https://doi.org/10.1109/conielecomp.2010.5440784","title":"An expanded histogram approach for multilevel image thresholding","display_name":"An expanded histogram approach for multilevel image thresholding","publication_year":2010,"publication_date":"2010-02-01","ids":{"openalex":"https://openalex.org/W2126350759","doi":"https://doi.org/10.1109/conielecomp.2010.5440784","mag":"2126350759"},"language":"en","primary_location":{"id":"doi:10.1109/conielecomp.2010.5440784","is_oa":false,"landing_page_url":"https://doi.org/10.1109/conielecomp.2010.5440784","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 20th International Conference on Electronics Communications and Computers (CONIELECOMP)","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/A5110225491","display_name":"MK Quweider","orcid":null},"institutions":[{"id":"https://openalex.org/I4210120822","display_name":"Brownsville Public Library","ror":"https://ror.org/02vr4se61","country_code":"US","type":"archive","lineage":["https://openalex.org/I4210120822"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"MK Quweider","raw_affiliation_strings":["CIS Department, University of Texas, Brownsville, Brownsville, TX, USA","CIS Department, University of Texas, Brownsville, 78520, USA"],"affiliations":[{"raw_affiliation_string":"CIS Department, University of Texas, Brownsville, Brownsville, TX, USA","institution_ids":["https://openalex.org/I4210120822"]},{"raw_affiliation_string":"CIS Department, University of Texas, Brownsville, 78520, USA","institution_ids":["https://openalex.org/I4210120822"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5110225491"],"corresponding_institution_ids":["https://openalex.org/I4210120822"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18778804,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":null,"first_page":"109","last_page":"113"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9988999962806702,"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":0.9988999962806702,"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":0.9975000023841858,"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/T11438","display_name":"Retinal Imaging and Analysis","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/balanced-histogram-thresholding","display_name":"Balanced histogram thresholding","score":0.9237686395645142},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.832369327545166},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.8248381614685059},{"id":"https://openalex.org/keywords/image-histogram","display_name":"Image histogram","score":0.7526810169219971},{"id":"https://openalex.org/keywords/adaptive-histogram-equalization","display_name":"Adaptive histogram equalization","score":0.7372093200683594},{"id":"https://openalex.org/keywords/histogram-matching","display_name":"Histogram matching","score":0.7033873200416565},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6404419541358948},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5495842099189758},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5400339961051941},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.4945544898509979},{"id":"https://openalex.org/keywords/histogram-equalization","display_name":"Histogram equalization","score":0.4859684705734253},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.47997188568115234},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.44912341237068176},{"id":"https://openalex.org/keywords/region-growing","display_name":"Region growing","score":0.4109905958175659},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3916299641132355},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.37128177285194397},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.1858421266078949}],"concepts":[{"id":"https://openalex.org/C202577368","wikidata":"https://www.wikidata.org/wiki/Q2576067","display_name":"Balanced histogram thresholding","level":5,"score":0.9237686395645142},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.832369327545166},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.8248381614685059},{"id":"https://openalex.org/C62725073","wikidata":"https://www.wikidata.org/wiki/Q1771663","display_name":"Image histogram","level":5,"score":0.7526810169219971},{"id":"https://openalex.org/C30387639","wikidata":"https://www.wikidata.org/wiki/Q4680744","display_name":"Adaptive histogram equalization","level":5,"score":0.7372093200683594},{"id":"https://openalex.org/C127449775","wikidata":"https://www.wikidata.org/wiki/Q3785871","display_name":"Histogram matching","level":4,"score":0.7033873200416565},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6404419541358948},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5495842099189758},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5400339961051941},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.4945544898509979},{"id":"https://openalex.org/C136943445","wikidata":"https://www.wikidata.org/wiki/Q1970240","display_name":"Histogram equalization","level":4,"score":0.4859684705734253},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.47997188568115234},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.44912341237068176},{"id":"https://openalex.org/C206824153","wikidata":"https://www.wikidata.org/wiki/Q1169834","display_name":"Region growing","level":5,"score":0.4109905958175659},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3916299641132355},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37128177285194397},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.1858421266078949},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/conielecomp.2010.5440784","is_oa":false,"landing_page_url":"https://doi.org/10.1109/conielecomp.2010.5440784","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 20th International Conference on Electronics Communications and Computers (CONIELECOMP)","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":13,"referenced_works":["https://openalex.org/W34996584","https://openalex.org/W1588565784","https://openalex.org/W1970800786","https://openalex.org/W1972544340","https://openalex.org/W1987087490","https://openalex.org/W1995875735","https://openalex.org/W2036729800","https://openalex.org/W2097880821","https://openalex.org/W2133003941","https://openalex.org/W2139435229","https://openalex.org/W2146642421","https://openalex.org/W2341171179","https://openalex.org/W3098618426"],"related_works":["https://openalex.org/W2162593906","https://openalex.org/W2015245117","https://openalex.org/W2739372068","https://openalex.org/W2562776962","https://openalex.org/W1979012573","https://openalex.org/W2612807965","https://openalex.org/W2521033063","https://openalex.org/W2376822833","https://openalex.org/W2280104560","https://openalex.org/W1994424557"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"a":[3,26,48,77],"new":[4],"image":[5,17],"thresholding":[6,49],"technique":[7],"is":[8,89],"proposed":[9],"based":[10,52],"on":[11,53,76],"expanding":[12],"the":[13,16,23,35,42,55,87,93],"histogram":[14,39],"of":[15,25,29,79,86,95],"to":[18,97],"accommodate":[19],"spatial-related":[20],"information":[21],"in":[22,34,58,92],"form":[24],"variance":[27,43],"map":[28],"every":[30],"gray":[31],"level":[32],"present":[33],"image.":[36],"The":[37,84],"expanded":[38],"along":[40],"with":[41,65,71],"levels":[44],"are":[45],"fed":[46],"into":[47],"finding":[50],"algorithm":[51,88],"partitioning":[54],"interval":[56],"(histogram)":[57],"an":[59,66],"optimal":[60],"way":[61],"using":[62],"dynamic":[63],"programming":[64],"entropy-based":[67],"cost":[68],"function.":[69],"Compared":[70],"many":[72],"existing":[73],"methods,":[74],"simulations":[75],"range":[78],"images":[80],"show":[81],"good":[82],"results.":[83],"effectiveness":[85],"shown":[90],"even":[91],"presence":[94],"low":[96],"moderate":[98],"additive":[99],"Gaussian":[100],"noise":[101],"levels.":[102]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
