{"id":"https://openalex.org/W1968645143","doi":"https://doi.org/10.1109/icsmc.2012.6378117","title":"A 3-D bilateral filter for speckle reduction in 3-D ultrasound images for cattle follicle segmentation","display_name":"A 3-D bilateral filter for speckle reduction in 3-D ultrasound images for cattle follicle segmentation","publication_year":2012,"publication_date":"2012-10-01","ids":{"openalex":"https://openalex.org/W1968645143","doi":"https://doi.org/10.1109/icsmc.2012.6378117","mag":"1968645143"},"language":"en","primary_location":{"id":"doi:10.1109/icsmc.2012.6378117","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2012.6378117","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","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/A5000177737","display_name":"Jinshan Tang","orcid":"https://orcid.org/0000-0001-7266-8534"},"institutions":[{"id":"https://openalex.org/I11957088","display_name":"Michigan Technological University","ror":"https://ror.org/0036rpn28","country_code":"US","type":"education","lineage":["https://openalex.org/I11957088"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jinshan Tang","raw_affiliation_strings":["School of Technology, Michigan Technological University, Houghton, MI, USA","School of Technology, Michigan Technological University acceptable, Houghton, USA"],"affiliations":[{"raw_affiliation_string":"School of Technology, Michigan Technological University, Houghton, MI, USA","institution_ids":["https://openalex.org/I11957088"]},{"raw_affiliation_string":"School of Technology, Michigan Technological University acceptable, Houghton, USA","institution_ids":["https://openalex.org/I11957088"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100511515","display_name":"Shengwen Guo","orcid":null},"institutions":[{"id":"https://openalex.org/I57298602","display_name":"Alcorn State University","ror":"https://ror.org/00dr54257","country_code":"US","type":"education","lineage":["https://openalex.org/I4210141039","https://openalex.org/I57298602"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shengwen Guo","raw_affiliation_strings":["Department of Advanced Technology, Alcorn State University, MS, USA","Dept. of Advanced Technology, Alcorn State University, MS, 39096, USA"],"affiliations":[{"raw_affiliation_string":"Department of Advanced Technology, Alcorn State University, MS, USA","institution_ids":["https://openalex.org/I57298602"]},{"raw_affiliation_string":"Dept. of Advanced Technology, Alcorn State University, MS, 39096, USA","institution_ids":["https://openalex.org/I57298602"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5000177737"],"corresponding_institution_ids":["https://openalex.org/I11957088"],"apc_list":null,"apc_paid":null,"fwci":0.2783,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.54192711,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"2485","last_page":"2488"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.98580002784729,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.98580002784729,"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":0.9768000245094299,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9685999751091003,"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/speckle-pattern","display_name":"Speckle pattern","score":0.7931422591209412},{"id":"https://openalex.org/keywords/bilateral-filter","display_name":"Bilateral filter","score":0.7067973613739014},{"id":"https://openalex.org/keywords/speckle-noise","display_name":"Speckle noise","score":0.6443533897399902},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.6137885451316833},{"id":"https://openalex.org/keywords/ultrasound","display_name":"Ultrasound","score":0.5531623363494873},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5498521327972412},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5096971988677979},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4887397289276123},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4789036810398102},{"id":"https://openalex.org/keywords/gaussian-filter","display_name":"Gaussian filter","score":0.4747900366783142},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.43897050619125366},{"id":"https://openalex.org/keywords/3d-ultrasound","display_name":"3D ultrasound","score":0.43402621150016785},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26743918657302856},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.2158326506614685},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1733900010585785},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.14297720789909363},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.11808744072914124}],"concepts":[{"id":"https://openalex.org/C102290492","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle pattern","level":2,"score":0.7931422591209412},{"id":"https://openalex.org/C156140930","wikidata":"https://www.wikidata.org/wiki/Q860417","display_name":"Bilateral filter","level":3,"score":0.7067973613739014},{"id":"https://openalex.org/C180940675","wikidata":"https://www.wikidata.org/wiki/Q7575045","display_name":"Speckle noise","level":3,"score":0.6443533897399902},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.6137885451316833},{"id":"https://openalex.org/C143753070","wikidata":"https://www.wikidata.org/wiki/Q162564","display_name":"Ultrasound","level":2,"score":0.5531623363494873},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5498521327972412},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5096971988677979},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4887397289276123},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4789036810398102},{"id":"https://openalex.org/C65892221","wikidata":"https://www.wikidata.org/wiki/Q1113935","display_name":"Gaussian filter","level":3,"score":0.4747900366783142},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.43897050619125366},{"id":"https://openalex.org/C2780170424","wikidata":"https://www.wikidata.org/wiki/Q229399","display_name":"3D ultrasound","level":3,"score":0.43402621150016785},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26743918657302856},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.2158326506614685},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1733900010585785},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.14297720789909363},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.11808744072914124},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icsmc.2012.6378117","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2012.6378117","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"},{"id":"pmh:oai:digitalcommons.mtu.edu:michigantech-p-29912","is_oa":false,"landing_page_url":"https://digitalcommons.mtu.edu/michigantech-p/10610","pdf_url":null,"source":{"id":"https://openalex.org/S4377196391","display_name":"Digital Commons - Michigan Tech (Michigan Technological University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I11957088","host_organization_name":"Michigan Technological University","host_organization_lineage":["https://openalex.org/I11957088"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Michigan Tech Publications, Part 1","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W1967935750","https://openalex.org/W2083913720","https://openalex.org/W2084470145","https://openalex.org/W2099244020","https://openalex.org/W2111595891","https://openalex.org/W2147985697","https://openalex.org/W2158930838","https://openalex.org/W2160752412","https://openalex.org/W2165263628","https://openalex.org/W2168896212","https://openalex.org/W2744626287"],"related_works":["https://openalex.org/W2133290590","https://openalex.org/W2042914788","https://openalex.org/W2182190754","https://openalex.org/W4321264664","https://openalex.org/W2009383287","https://openalex.org/W2121688719","https://openalex.org/W2016481886","https://openalex.org/W2055824452","https://openalex.org/W2727313114","https://openalex.org/W1989852278"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"investigate":[4],"the":[5,33,36,42,48,70,73],"reduction":[6],"of":[7,72],"speckles":[8,34],"in":[9,35],"3-D":[10,15,26,44,50,54,59],"ultrasound":[11,37,65],"images":[12,38,62],"using":[13,57],"a":[14],"bilateral":[16,27,45,51],"filter":[17,28,46,52,56],"for":[18],"cattle":[19],"follicle":[20],"segmentation":[21],"and":[22,53,63],"volume":[23],"estimation.":[24],"Adaptive":[25],"is":[29],"developed":[30],"to":[31],"reduce":[32],"effectively.":[39],"We":[40],"compared":[41],"proposed":[43,74],"with":[47],"conventional":[49],"Gaussian":[55],"both":[58],"synthetic":[60],"speckled":[61],"real":[64],"images.":[66],"Quantitative":[67],"analysis":[68],"verified":[69],"effectiveness":[71],"method.":[75]},"counts_by_year":[{"year":2015,"cited_by_count":1}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}