{"id":"https://openalex.org/W1502117332","doi":"https://doi.org/10.1109/iscas.2006.1693517","title":"Detecting Filopodia with Wavelets","display_name":"Detecting Filopodia with Wavelets","publication_year":2006,"publication_date":"2006-09-22","ids":{"openalex":"https://openalex.org/W1502117332","doi":"https://doi.org/10.1109/iscas.2006.1693517","mag":"1502117332"},"language":"en","primary_location":{"id":"doi:10.1109/iscas.2006.1693517","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2006.1693517","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2006 IEEE International Symposium on Circuits and Systems","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/A5025348246","display_name":"Evelyn Brannock","orcid":"https://orcid.org/0009-0007-6021-3066"},"institutions":[{"id":"https://openalex.org/I181565077","display_name":"Georgia State University","ror":"https://ror.org/03qt6ba18","country_code":"US","type":"education","lineage":["https://openalex.org/I181565077"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"E. Brannock","raw_affiliation_strings":["Computer Science Department, Georgia State University, Atlanta, GA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, Georgia State University, Atlanta, GA, USA","institution_ids":["https://openalex.org/I181565077"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049549744","display_name":"Michael Weeks","orcid":"https://orcid.org/0000-0002-6262-0358"},"institutions":[{"id":"https://openalex.org/I181565077","display_name":"Georgia State University","ror":"https://ror.org/03qt6ba18","country_code":"US","type":"education","lineage":["https://openalex.org/I181565077"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"M. Weeks","raw_affiliation_strings":["Computer Science Department, Georgia State University, Atlanta, GA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, Georgia State University, Atlanta, GA, USA","institution_ids":["https://openalex.org/I181565077"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055101607","display_name":"V. Rehder","orcid":null},"institutions":[{"id":"https://openalex.org/I181565077","display_name":"Georgia State University","ror":"https://ror.org/03qt6ba18","country_code":"US","type":"education","lineage":["https://openalex.org/I181565077"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"V. Rehder","raw_affiliation_strings":["Biology Department, Georgia State University, Atlanta, GA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Biology Department, Georgia State University, Atlanta, GA, USA","institution_ids":["https://openalex.org/I181565077"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3808,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.5814719,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"3","issue":null,"first_page":"4046","last_page":"4049"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10379","display_name":"Cellular Mechanics and Interactions","score":0.9726999998092651,"subfield":{"id":"https://openalex.org/subfields/1307","display_name":"Cell Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10379","display_name":"Cellular Mechanics and Interactions","score":0.9726999998092651,"subfield":{"id":"https://openalex.org/subfields/1307","display_name":"Cell Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T14510","display_name":"Medical Imaging and Analysis","score":0.9695000052452087,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"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/T11245","display_name":"Advanced Numerical Analysis Techniques","score":0.965399980545044,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/filopodia","display_name":"Filopodia","score":0.9507335424423218},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.6500808000564575},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6201843023300171},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5941026210784912},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.5928061008453369},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5653371810913086},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.554625928401947},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5225776433944702},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.4605428874492645},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.4555273652076721},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35006415843963623},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2746286392211914},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2128259241580963},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.12571999430656433}],"concepts":[{"id":"https://openalex.org/C90301020","wikidata":"https://www.wikidata.org/wiki/Q14859810","display_name":"Filopodia","level":3,"score":0.9507335424423218},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.6500808000564575},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6201843023300171},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5941026210784912},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.5928061008453369},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5653371810913086},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.554625928401947},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5225776433944702},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.4605428874492645},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.4555273652076721},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35006415843963623},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2746286392211914},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2128259241580963},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.12571999430656433},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C125705527","wikidata":"https://www.wikidata.org/wiki/Q185269","display_name":"Actin","level":2,"score":0.0},{"id":"https://openalex.org/C95444343","wikidata":"https://www.wikidata.org/wiki/Q7141","display_name":"Cell biology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscas.2006.1693517","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas.2006.1693517","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2006 IEEE International Symposium on Circuits and Systems","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":10,"referenced_works":["https://openalex.org/W1533162639","https://openalex.org/W1575739010","https://openalex.org/W1995127905","https://openalex.org/W2003370853","https://openalex.org/W2105542305","https://openalex.org/W2124870639","https://openalex.org/W2132984323","https://openalex.org/W2145023731","https://openalex.org/W2166982406","https://openalex.org/W4245060668"],"related_works":["https://openalex.org/W183670115","https://openalex.org/W1501179639","https://openalex.org/W3199035354","https://openalex.org/W2085792030","https://openalex.org/W1807354010","https://openalex.org/W3143644526","https://openalex.org/W598225674","https://openalex.org/W2734230146","https://openalex.org/W1588899229","https://openalex.org/W2077021924"],"abstract_inverted_index":{"Our":[0],"problem":[1],"is":[2,57],"to":[3,42,92],"automatically":[4],"detect":[5],"and":[6,12,34,65,89],"measure":[7],"from":[8,20,46],"images":[9,61],"the":[10,21,44,47,54,79,84],"length":[11],"number":[13],"of":[14,23,29,83],"microscopic":[15],"hair-like":[16],"structures":[17],"(filopodia)":[18],"emanating":[19],"tip":[22],"growing":[24],"nerve":[25],"processes.":[26],"The":[27],"objects":[28],"interest":[30],"are":[31],"relatively":[32],"long":[33],"thin,":[35],"so":[36],"a":[37,50],"good":[38],"edge-detection":[39,95],"algorithm":[40],"helps":[41],"separate":[43],"filopodia":[45,98],"background.":[48],"Since":[49],"common":[51,94],"claim":[52],"about":[53],"wavelet":[55,87],"transform":[56],"that":[58],"it":[59,72,91],"splits":[60],"into":[62],"an":[63],"approximation":[64],"details,":[66],"which":[67],"contain":[68],"edges,":[69],"we":[70],"use":[71],"in":[73],"our":[74],"experiments.":[75],"This":[76],"paper":[77],"studies":[78],"edge":[80],"detecting":[81],"characteristics":[82],"2D":[85],"discrete":[86],"transform,":[88],"compares":[90],"other":[93],"methods":[96],"for":[97],"detection.":[99]},"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}