{"id":"https://openalex.org/W7152643659","doi":"https://doi.org/10.1109/icecet63943.2025.11472529","title":"Image Blur as an Informative Parameter in Solving Object Recognition Problems","display_name":"Image Blur as an Informative Parameter in Solving Object Recognition Problems","publication_year":2025,"publication_date":"2025-07-03","ids":{"openalex":"https://openalex.org/W7152643659","doi":"https://doi.org/10.1109/icecet63943.2025.11472529"},"language":null,"primary_location":{"id":"doi:10.1109/icecet63943.2025.11472529","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icecet63943.2025.11472529","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 5th International Conference on Electrical, Computer and Energy Technologies (ICECET)","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/A5039719654","display_name":"Daniil Loktev","orcid":"https://orcid.org/0000-0001-9923-1201"},"institutions":[{"id":"https://openalex.org/I177537411","display_name":"Bauman Moscow State Technical University","ror":"https://ror.org/00pb8h375","country_code":"RU","type":"education","lineage":["https://openalex.org/I177537411"]}],"countries":["RU"],"is_corresponding":true,"raw_author_name":"Daniil Loktev","raw_affiliation_strings":["Bauman Moscow State Technical University,Department of Information Systems and Telecommunications,Moscow,Russia"],"affiliations":[{"raw_affiliation_string":"Bauman Moscow State Technical University,Department of Information Systems and Telecommunications,Moscow,Russia","institution_ids":["https://openalex.org/I177537411"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080349609","display_name":"Alexey Loktev","orcid":"https://orcid.org/0000-0002-8375-9914"},"institutions":[{"id":"https://openalex.org/I134694890","display_name":"Russian University of Transport","ror":"https://ror.org/05gba0366","country_code":"RU","type":"education","lineage":["https://openalex.org/I134694890"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Alexey Loktev","raw_affiliation_strings":["Russian University of Transport,Department of Transportation Engineering,Moscow,Russia"],"affiliations":[{"raw_affiliation_string":"Russian University of Transport,Department of Transportation Engineering,Moscow,Russia","institution_ids":["https://openalex.org/I134694890"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5039719654"],"corresponding_institution_ids":["https://openalex.org/I177537411"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.87687144,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"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/T13608","display_name":"Advanced Computational Techniques in Science and Engineering","score":0.22310000658035278,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T13608","display_name":"Advanced Computational Techniques in Science and Engineering","score":0.22310000658035278,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T14438","display_name":"Advanced Scientific Research Methods","score":0.029400000348687172,"subfield":{"id":"https://openalex.org/subfields/1106","display_name":"Food Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12710","display_name":"Engineering and Agricultural Innovations","score":0.02630000002682209,"subfield":{"id":"https://openalex.org/subfields/1104","display_name":"Aquatic Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5167999863624573},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4819999933242798},{"id":"https://openalex.org/keywords/cognitive-neuroscience-of-visual-object-recognition","display_name":"Cognitive neuroscience of visual object recognition","score":0.4399000108242035},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41130000352859497},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.34630000591278076},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.3441999852657318},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.34369999170303345}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7229999899864197},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6470999717712402},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5946999788284302},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5167999863624573},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4819999933242798},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.4399000108242035},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41130000352859497},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.34630000591278076},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.3441999852657318},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.34369999170303345},{"id":"https://openalex.org/C117623542","wikidata":"https://www.wikidata.org/wiki/Q621974","display_name":"Automatic target recognition","level":3,"score":0.290800005197525},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.28929999470710754},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.2770000100135803},{"id":"https://openalex.org/C14551309","wikidata":"https://www.wikidata.org/wiki/Q4636325","display_name":"3D single-object recognition","level":4,"score":0.26809999346733093},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.26759999990463257},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.26499998569488525}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icecet63943.2025.11472529","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icecet63943.2025.11472529","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 5th International Conference on Electrical, Computer and Energy Technologies (ICECET)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4680711328983307,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2046155154","https://openalex.org/W2071841170","https://openalex.org/W2097558986","https://openalex.org/W2133665775","https://openalex.org/W2324511914","https://openalex.org/W2399961746","https://openalex.org/W2578884451","https://openalex.org/W2621158546","https://openalex.org/W3208927845","https://openalex.org/W4229061861","https://openalex.org/W4312714692","https://openalex.org/W4366145102","https://openalex.org/W4366145481","https://openalex.org/W4366145490","https://openalex.org/W4366146399","https://openalex.org/W4366146764","https://openalex.org/W4380490712","https://openalex.org/W4386430868","https://openalex.org/W4393141912","https://openalex.org/W4394625042","https://openalex.org/W4394625052"],"related_works":[],"abstract_inverted_index":{"This":[0],"paper":[1],"considers":[2],"image":[3,31,57,64,78,104],"blur":[4,65,79,90,105,136,168,182],"as":[5,17,71,116],"one":[6],"of":[7,22,27,52,77,94,97,103,126,128,165,173,180],"the":[8,30,46,62,72,84,88,95,101,111,152,156,163,171,177,181,186],"informative":[9,54],"parameters":[10,55],"in":[11,29,40],"solving":[12],"such":[13],"computer":[14],"vision":[15],"problems":[16],"detection,":[18],"segmentation":[19],"and":[20,37,61,108,134,143],"recognition":[21,99],"objects.":[23],"The":[24,92],"main":[25,73],"features":[26],"objects":[28,130,145],"are":[32,106],"considered,":[33],"describing":[34],"its":[35],"state":[36],"behavior,":[38],"which":[39],"turn":[41],"can":[42],"be":[43,69],"represented":[44],"through":[45],"dependence":[47],"on":[48,83,100,155],"blur.":[49],"A":[50,75],"description":[51],"various":[53],"characterizing":[56],"quality":[58],"is":[59,66,80],"given,":[60],"object":[63,98,140,174],"proposed":[67],"to":[68],"used":[70],"parameter.":[74],"model":[76],"presented":[81],"based":[82],"factors":[85],"that":[86,162],"influence":[87],"final":[89],"value.":[91,188],"dependences":[93],"accuracy":[96,172,187],"amount":[102],"obtained":[107],"investigated":[109],"using":[110],"YOLO":[112],"neural":[113],"network":[114],"algorithm":[115],"an":[117],"example.":[118],"To":[119],"do":[120],"this,":[121],"we":[122],"considered":[123],"a":[124,138,166],"series":[125],"images":[127],"four":[129],"with":[131],"different":[132,149],"characteristics":[133],"varying":[135],"\u2013":[137],"static":[139],"moving":[141,146],"slowly":[142],"two":[144],"fast":[147],"at":[148],"distances":[150],"from":[151],"camera.":[153],"Based":[154],"experiments":[157],"conducted,":[158],"it":[159],"was":[160],"found":[161],"use":[164],"small":[167],"allows":[169],"improving":[170],"recognition,":[175],"while":[176],"complete":[178],"elimination":[179],"does":[183],"not":[184],"maximize":[185]},"counts_by_year":[],"updated_date":"2026-04-11T06:13:24.991567","created_date":"2026-04-10T00:00:00"}
