{"id":"https://openalex.org/W2131541007","doi":"https://doi.org/10.1109/83.605408","title":"Local orientation analysis in images by means of the Hermite transform","display_name":"Local orientation analysis in images by means of the Hermite transform","publication_year":1997,"publication_date":"1997-08-01","ids":{"openalex":"https://openalex.org/W2131541007","doi":"https://doi.org/10.1109/83.605408","mag":"2131541007","pmid":"https://pubmed.ncbi.nlm.nih.gov/18283000"},"language":"en","primary_location":{"id":"doi:10.1109/83.605408","doi":"https://doi.org/10.1109/83.605408","is_oa":false,"landing_page_url":"https://doi.org/10.1109/83.605408","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","ccf-a","cwts-core","dongbi-a","doyens","jufo-3","ki-jl-2","medline","norway-2","poland-200","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","pubmed"],"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/A5113686175","display_name":"J. B. O. S. Martens","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"J.-B. Martens","raw_affiliation_strings":["Inst. for Perception Res., Eindhoven","Inst. for Perception Res., Eindhoven, Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inst. for Perception Res., Eindhoven","institution_ids":[]},{"raw_affiliation_string":"Inst. for Perception Res., Eindhoven, Netherlands","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5113686175"],"corresponding_institution_ids":[],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":2.6168,"has_fulltext":false,"cited_by_count":73,"citation_normalized_percentile":{"value":0.90178446,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":88,"max":97},"biblio":{"volume":"6","issue":"8","first_page":"1103","last_page":"1116"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9028000235557556,"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":0.9028000235557556,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.045099999755620956,"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/T11210","display_name":"Mathematical Analysis and Transform Methods","score":0.021199999377131462,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hermite-transform","display_name":"Hermite transform","score":0.9919999837875366},{"id":"https://openalex.org/keywords/local-orientation","display_name":"local orientation","score":0.796999990940094},{"id":"https://openalex.org/keywords/image-compression","display_name":"image compression","score":0.5139999985694885},{"id":"https://openalex.org/keywords/adaptive-image-processing","display_name":"adaptive image processing","score":0.8429999947547913},{"id":"https://openalex.org/keywords/adaptive-noise-reduction","display_name":"adaptive noise reduction","score":0.9459999799728394}],"concepts":[{"id":"https://openalex.org/C201362023","wikidata":"https://www.wikidata.org/wiki/Q658574","display_name":"Hermite polynomials","level":2,"score":0.7175408005714417},{"id":"https://openalex.org/C169805256","wikidata":"https://www.wikidata.org/wiki/Q1361381","display_name":"Transform coding","level":4,"score":0.5258046984672546},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.516456127166748},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.4994313716888428},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49925971031188965},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.48559778928756714},{"id":"https://openalex.org/C99234102","wikidata":"https://www.wikidata.org/wiki/Q7395403","display_name":"S transform","level":5,"score":0.4626873731613159},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43854355812072754},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.43031707406044006},{"id":"https://openalex.org/C84607441","wikidata":"https://www.wikidata.org/wiki/Q1537263","display_name":"Cubic Hermite spline","level":5,"score":0.42992061376571655},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4254952073097229},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3959518373012543},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3081532418727875},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.29153838753700256},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.10879024863243103},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.09696066379547119},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.0},{"id":"https://openalex.org/C207214200","wikidata":"https://www.wikidata.org/wiki/Q4202129","display_name":"Nearest-neighbor interpolation","level":4,"score":0.0},{"id":"https://openalex.org/C155777637","wikidata":"https://www.wikidata.org/wiki/Q2736187","display_name":"Wavelet packet decomposition","level":4,"score":0.0},{"id":"https://openalex.org/C171836373","wikidata":"https://www.wikidata.org/wiki/Q2266329","display_name":"Linear interpolation","level":3,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":7,"locations":[{"id":"doi:10.1109/83.605408","doi":"https://doi.org/10.1109/83.605408","is_oa":false,"landing_page_url":"https://doi.org/10.1109/83.605408","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","ccf-a","cwts-core","dongbi-a","doyens","jufo-3","ki-jl-2","medline","norway-2","poland-200","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:18283000","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/18283000","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":"Journal Article"},{"id":"pmh:oai:pure.tue.nl:openaire_cris_publications/5d21b97b-0303-4abb-95ac-0dcc3e4975e8","doi":null,"is_oa":false,"landing_page_url":"https://research.tue.nl/en/publications/5d21b97b-0303-4abb-95ac-0dcc3e4975e8","pdf_url":null,"source":{"id":"https://openalex.org/S4406922641","display_name":"TU/e Research Portal","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Martens, J B 1997, 'Local orientation analysis in images by means of the Hermite transform', IEEE Transactions on Image Processing, vol. 6, no. 8, pp. 1103-1116. https://doi.org/10.1109/83.605408","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:745998","doi":null,"is_oa":false,"landing_page_url":"http://library.tue.nl/csp/dare/LinkToRepository.csp?recordnumber=745998","pdf_url":null,"source":{"id":"https://openalex.org/S4406922641","display_name":"TU/e Research Portal","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISSN:1057-7149","raw_type":"Article / Letter to the editor"},{"id":"pmh:oai:library.tue.nl:745998","doi":null,"is_oa":false,"landing_page_url":"http://repository.tue.nl/745998","pdf_url":null,"source":{"id":"https://openalex.org/S4406922641","display_name":"TU/e Research Portal","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISSN:1057-7149","raw_type":"Article / Letter to the editor"},{"id":"pmh:tue:oai:library.tue.nl:745998","doi":null,"is_oa":false,"landing_page_url":"http://repository.tue.nl/745998","pdf_url":null,"source":{"id":"https://openalex.org/S4406922641","display_name":"TU/e Research Portal","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Image Processing, 6(8), 1103","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:tue:oai:pure.tue.nl:publications/5d21b97b-0303-4abb-95ac-0dcc3e4975e8","doi":null,"is_oa":false,"landing_page_url":"https://research.tue.nl/nl/publications/5d21b97b-0303-4abb-95ac-0dcc3e4975e8","pdf_url":null,"source":{"id":"https://openalex.org/S4406922641","display_name":"TU/e Research Portal","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Image Processing, 6(8), 1103 - 1116. Institute of Electrical and Electronics Engineers","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1530949933","https://openalex.org/W1595049743","https://openalex.org/W1985814307","https://openalex.org/W1986564090","https://openalex.org/W1991605728","https://openalex.org/W2007200136","https://openalex.org/W2018208713","https://openalex.org/W2020759522","https://openalex.org/W2022735534","https://openalex.org/W2039432243","https://openalex.org/W2040479363","https://openalex.org/W2055339315","https://openalex.org/W2062024414","https://openalex.org/W2092184224","https://openalex.org/W2094503065","https://openalex.org/W2095817904","https://openalex.org/W2112328181","https://openalex.org/W2120062331","https://openalex.org/W2123222407","https://openalex.org/W2145246767","https://openalex.org/W2164287278","https://openalex.org/W2166982406","https://openalex.org/W2591262154","https://openalex.org/W4255272544","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W6997155427","https://openalex.org/W2164287278","https://openalex.org/W2098704194","https://openalex.org/W1841303196","https://openalex.org/W2123222407","https://openalex.org/W2110525641","https://openalex.org/W1982918919","https://openalex.org/W2145246767","https://openalex.org/W2585116358","https://openalex.org/W2600276425"],"abstract_inverted_index":{"We":[0],"introduce":[1],"new":[2],"theoretical":[3],"results":[4],"on":[5,71],"how":[6],"the":[7,23,30,49,58,62,86,105],"local":[8,59],"differential":[9],"structure":[10],"in":[11,61,104],"images":[12],"can":[13,33],"be":[14,93],"described,":[15],"processed,":[16],"and":[17,64,100],"coded":[18],"efficiently":[19],"by":[20,113],"means":[21],"of":[22,39,48,56,107,115],"Hermite":[24,31,50,88],"transform.":[25],"It":[26],"is":[27,90,111],"shown":[28,91],"that":[29],"transform":[32,51],"take":[34],"many":[35],"alternative":[36,80],"forms,":[37],"all":[38],"which":[40],"have":[41],"their":[42],"specific":[43,83],"advantages.":[44],"The":[45],"various":[46],"forms":[47],"correspond":[52],"to":[53,92],"different":[54],"ways":[55],"coding":[57],"orientation":[60],"image,":[63],"we":[65],"describe":[66],"a":[67],"systematic":[68],"theory,":[69],"based":[70],"well-known":[72],"principles":[73],"from":[74],"vector":[75],"spaces,":[76],"for":[77,96],"deriving":[78],"such":[79],"forms.":[81],"One":[82],"case,":[84],"called":[85],"sampled":[87],"transform,":[89],"especially":[94],"interesting":[95],"adaptive":[97,108],"image":[98],"processing":[99],"coding.":[101],"An":[102],"application":[103],"field":[106],"noise":[109],"reduction":[110],"included":[112],"way":[114],"illustration.":[116]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":3},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":1}],"updated_date":"2026-10-28T10:33:24.094632","created_date":"2016-06-24T00:00:00"}
