{"id":"https://openalex.org/W2000373594","doi":"https://doi.org/10.1109/icip.2014.7025802","title":"Binarization of noisy microscopy images through signal reconstruction using iterative detection network","display_name":"Binarization of noisy microscopy images through signal reconstruction using iterative detection network","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W2000373594","doi":"https://doi.org/10.1109/icip.2014.7025802","mag":"2000373594"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2014.7025802","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2014.7025802","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Image Processing (ICIP)","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/A5103710616","display_name":"Tom\u00e1\u0161 Luke\u0161","orcid":null},"institutions":[{"id":"https://openalex.org/I44504214","display_name":"Czech Technical University in Prague","ror":"https://ror.org/03kqpb082","country_code":"CZ","type":"education","lineage":["https://openalex.org/I44504214"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Tomas Lukes","raw_affiliation_strings":["Department of Radioelectronics, Czech Technical University in Prague, Czech Republic","Department of Radioelectronics, Faculty of Electrical Engineering, Czech Technical University in Prague, Czech Republic"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radioelectronics, Czech Technical University in Prague, Czech Republic","institution_ids":["https://openalex.org/I44504214"]},{"raw_affiliation_string":"Department of Radioelectronics, Faculty of Electrical Engineering, Czech Technical University in Prague, Czech Republic","institution_ids":["https://openalex.org/I44504214"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086176718","display_name":"Daniel Kehrt","orcid":null},"institutions":[{"id":"https://openalex.org/I44504214","display_name":"Czech Technical University in Prague","ror":"https://ror.org/03kqpb082","country_code":"CZ","type":"education","lineage":["https://openalex.org/I44504214"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Daniel Kehrt","raw_affiliation_strings":["Ceske Vysoke Uceni Technicke v Praze, Praha, CZ","Department of Radioelectronics, Faculty of Electrical Engineering, Czech Technical University in Prague, Czech Republic"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ceske Vysoke Uceni Technicke v Praze, Praha, CZ","institution_ids":["https://openalex.org/I44504214"]},{"raw_affiliation_string":"Department of Radioelectronics, Faculty of Electrical Engineering, Czech Technical University in Prague, Czech Republic","institution_ids":["https://openalex.org/I44504214"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071173925","display_name":"Karel Fliegel","orcid":"https://orcid.org/0000-0001-5737-6736"},"institutions":[{"id":"https://openalex.org/I44504214","display_name":"Czech Technical University in Prague","ror":"https://ror.org/03kqpb082","country_code":"CZ","type":"education","lineage":["https://openalex.org/I44504214"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Karel Fliegel","raw_affiliation_strings":["Department of Radioelectronics, Czech Technical University in Prague, Czech Republic","Department of Radioelectronics, Faculty of Electrical Engineering, Czech Technical University in Prague, Czech Republic"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radioelectronics, Czech Technical University in Prague, Czech Republic","institution_ids":["https://openalex.org/I44504214"]},{"raw_affiliation_string":"Department of Radioelectronics, Faculty of Electrical Engineering, Czech Technical University in Prague, Czech Republic","institution_ids":["https://openalex.org/I44504214"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076116616","display_name":"Milo\u0161 Kl\u00edma","orcid":"https://orcid.org/0009-0004-5890-2493"},"institutions":[{"id":"https://openalex.org/I44504214","display_name":"Czech Technical University in Prague","ror":"https://ror.org/03kqpb082","country_code":"CZ","type":"education","lineage":["https://openalex.org/I44504214"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Milos Klima","raw_affiliation_strings":["Department of Radioelectronics, Czech Technical University in Prague, Czech Republic","Department of Radioelectronics, Faculty of Electrical Engineering, Czech Technical University in Prague, Czech Republic"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radioelectronics, Czech Technical University in Prague, Czech Republic","institution_ids":["https://openalex.org/I44504214"]},{"raw_affiliation_string":"Department of Radioelectronics, Faculty of Electrical Engineering, Czech Technical University in Prague, Czech Republic","institution_ids":["https://openalex.org/I44504214"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.12293937,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"9","issue":null,"first_page":"3949","last_page":"3952"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9997000098228455,"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":0.9997000098228455,"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/T12549","display_name":"Image and Object Detection 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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9966999888420105,"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/deconvolution","display_name":"Deconvolution","score":0.8561283349990845},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7022638916969299},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6861306428909302},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.6615968942642212},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6259633898735046},{"id":"https://openalex.org/keywords/point-spread-function","display_name":"Point spread function","score":0.6184244751930237},{"id":"https://openalex.org/keywords/iterative-reconstruction","display_name":"Iterative reconstruction","score":0.58150315284729},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5792869925498962},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.5396686792373657},{"id":"https://openalex.org/keywords/image-restoration","display_name":"Image restoration","score":0.4828077554702759},{"id":"https://openalex.org/keywords/maximum-a-posteriori-estimation","display_name":"Maximum a posteriori estimation","score":0.4810243248939514},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4662284851074219},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4442760944366455},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3701753616333008},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.32272210717201233},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3206528127193451},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21272802352905273},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.12801635265350342}],"concepts":[{"id":"https://openalex.org/C174576160","wikidata":"https://www.wikidata.org/wiki/Q1183700","display_name":"Deconvolution","level":2,"score":0.8561283349990845},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7022638916969299},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6861306428909302},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.6615968942642212},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6259633898735046},{"id":"https://openalex.org/C69179731","wikidata":"https://www.wikidata.org/wiki/Q510427","display_name":"Point spread function","level":2,"score":0.6184244751930237},{"id":"https://openalex.org/C141379421","wikidata":"https://www.wikidata.org/wiki/Q6094427","display_name":"Iterative reconstruction","level":2,"score":0.58150315284729},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5792869925498962},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.5396686792373657},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.4828077554702759},{"id":"https://openalex.org/C9810830","wikidata":"https://www.wikidata.org/wiki/Q635384","display_name":"Maximum a posteriori estimation","level":3,"score":0.4810243248939514},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4662284851074219},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4442760944366455},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3701753616333008},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.32272210717201233},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3206528127193451},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21272802352905273},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.12801635265350342},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2014.7025802","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2014.7025802","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321006","display_name":"Grantov\u00e1 Agentura \u010cesk\u00e9 Republiky","ror":"https://ror.org/01pv73b02"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W652942047","https://openalex.org/W1491319300","https://openalex.org/W1600276254","https://openalex.org/W2035426128","https://openalex.org/W2041270422","https://openalex.org/W2087214217","https://openalex.org/W2092950853","https://openalex.org/W2133003941","https://openalex.org/W2133059825","https://openalex.org/W2146404768","https://openalex.org/W2170472910","https://openalex.org/W2540296490","https://openalex.org/W4252676889","https://openalex.org/W6635900570"],"related_works":["https://openalex.org/W2091984142","https://openalex.org/W2151175808","https://openalex.org/W2082564995","https://openalex.org/W2016902129","https://openalex.org/W2990086811","https://openalex.org/W2364399933","https://openalex.org/W4387314726","https://openalex.org/W2790267366","https://openalex.org/W2001137152","https://openalex.org/W2769862828"],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2,8,27,60],"novel":[3],"binarization":[4],"method":[5,65,78,105],"based":[6,54],"on":[7,55],"signal":[9],"reconstruction":[10],"using":[11],"an":[12],"iterative":[13,51],"detection":[14,52,112],"network.":[15],"The":[16,39,63],"algorithm":[17],"simulates":[18],"the":[19,32,56,76,81,103],"whole":[20],"image":[21,43],"acquisition":[22],"process":[23],"taking":[24],"into":[25],"account":[26],"point":[28],"spread":[29],"function":[30],"of":[31,42,58,115],"imaging":[33],"system":[34],"and":[35,45,84,113],"its":[36],"noise":[37,46,82],"characteristics.":[38],"negative":[40],"influence":[41],"blur":[44],"is":[47],"effectively":[48],"suppressed":[49],"by":[50,102],"network":[53],"criterion":[57],"maximum":[59],"posteriori":[61],"probability.":[62],"proposed":[64,77,104],"was":[66],"successfully":[67],"applied":[68],"to":[69,80,95],"noisy":[70,89],"microscopy":[71],"images.":[72],"Experiments":[73],"show":[74],"that":[75],"due":[79],"suppression":[83],"deconvolution":[85],"properties":[86],"provides":[87],"for":[88,110],"images":[90,100],"significantly":[91],"better":[92],"results":[93],"compared":[94],"common":[96],"thresholding":[97],"techniques.":[98],"Binarized":[99],"obtained":[101],"can":[106],"be":[107],"particularly":[108],"useful":[109],"particle":[111],"analysis":[114],"cell":[116],"samples.":[117]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
