{"id":"https://openalex.org/W2231121995","doi":"https://doi.org/10.3233/978-1-61499-320-9-115","title":"Closed Contour Shape Descriptors with High Compression Properties Based on the Discrete Hartley Transform","display_name":"Closed Contour Shape Descriptors with High Compression Properties Based on the Discrete Hartley Transform","publication_year":2013,"publication_date":"2013-01-01","ids":{"openalex":"https://openalex.org/W2231121995","doi":"https://doi.org/10.3233/978-1-61499-320-9-115","mag":"2231121995"},"language":"en","primary_location":{"id":"doi:10.3233/978-1-61499-320-9-115","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-61499-320-9-115","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","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/A5091906595","display_name":"Pere Mart\u00ed-Puig","orcid":"https://orcid.org/0000-0001-6582-4551"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Marti-Puig Pere","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Reig-Bolaño Ramon","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Reig-Bolaño Ramon","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5116358523","display_name":"Danes Jaume","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Danes Jaume","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4403,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.62936747,"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":"115","last_page":"124"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9943000078201294,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9943000078201294,"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":0.9905999898910522,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9890000224113464,"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/discrete-hartley-transform","display_name":"Discrete Hartley transform","score":0.6503015756607056},{"id":"https://openalex.org/keywords/hartley-transform","display_name":"Hartley transform","score":0.6205214262008667},{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.4977307617664337},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4705878794193268},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.46965208649635315},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4111332893371582},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.408475399017334},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3809588849544525},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.2502800524234772},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.23216068744659424},{"id":"https://openalex.org/keywords/composite-material","display_name":"Composite material","score":0.2053385078907013},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.18148675560951233},{"id":"https://openalex.org/keywords/fractional-fourier-transform","display_name":"Fractional Fourier transform","score":0.1049439013004303}],"concepts":[{"id":"https://openalex.org/C192853989","wikidata":"https://www.wikidata.org/wiki/Q1006531","display_name":"Discrete Hartley transform","level":5,"score":0.6503015756607056},{"id":"https://openalex.org/C67757890","wikidata":"https://www.wikidata.org/wiki/Q1567607","display_name":"Hartley transform","level":5,"score":0.6205214262008667},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.4977307617664337},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4705878794193268},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46965208649635315},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4111332893371582},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.408475399017334},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3809588849544525},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.2502800524234772},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.23216068744659424},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.2053385078907013},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.18148675560951233},{"id":"https://openalex.org/C76563020","wikidata":"https://www.wikidata.org/wiki/Q4817582","display_name":"Fractional Fourier transform","level":4,"score":0.1049439013004303},{"id":"https://openalex.org/C203024314","wikidata":"https://www.wikidata.org/wiki/Q1365258","display_name":"Fourier analysis","level":3,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3233/978-1-61499-320-9-115","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-61499-320-9-115","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},{"id":"pmh:oai:dspace.uvic.cat:10854/2797","is_oa":false,"landing_page_url":"http://hdl.handle.net/10854/2797","pdf_url":null,"source":{"id":"https://openalex.org/S7407055356","display_name":"RIUVic","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/bookPart"},{"id":"mag:2231121995","is_oa":false,"landing_page_url":"http://dspace.uvic.cat/xmlui/handle/10854/2797","pdf_url":null,"source":{"id":"https://openalex.org/S4306505786","display_name":"CCIA","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"CCIA","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4300000071525574,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2006724675","https://openalex.org/W4251047325","https://openalex.org/W2097561720","https://openalex.org/W2004809679","https://openalex.org/W1992001668","https://openalex.org/W2188879807","https://openalex.org/W2161459641","https://openalex.org/W2004439830","https://openalex.org/W1646899800","https://openalex.org/W2053968045"],"abstract_inverted_index":{"The":[0,19,99,124],"quantitative":[1],"analysis":[2],"of":[3,21,84,108,120,131,152],"shapes":[4],"is":[5,32],"required":[6,87],"in":[7],"some":[8],"research":[9],"fields,":[10,52],"such":[11],"as":[12,30,117],"taxonomy,":[13],"agronomy,":[14],"ecology,":[15],"medicine,":[16],"among":[17],"others.":[18],"quantification":[20],"an":[22,105],"object":[23],"shape,":[24],"or":[25],"a":[26,69,92,149],"biological":[27],"entity":[28],"shape":[29,122,147],"extension,":[31],"usually":[33],"performed":[34],"on":[35,74],"its":[36],"closed":[37,42,101,132],"contour":[38,56,71,93,102,109],"data.":[39],"Normally,":[40],"the":[41,53,59,75,85,138,142,145,160],"contours":[43],"are":[44,58],"automatically":[45],"extracted":[46],"from":[47,148],"digital":[48],"images.":[49],"In":[50,64],"these":[51],"most":[54],"used":[55],"descriptors":[57,103],"Elliptical":[60],"Fourier":[61],"Descriptors":[62],"(EFD).":[63],"this":[65],"paper":[66],"we":[67],"propose":[68],"new":[70],"descriptor":[72],"based":[73],"Discrete":[76,162],"Hartley":[77,163],"Transform":[78,164],"(DHT)":[79,165],"that":[80,140],"uses":[81],"only":[82],"half":[83],"coefficients":[86],"by":[88,159],"EFD":[89],"to":[90,114],"obtain":[91],"approximation":[94],"with":[95],"similar":[96],"error":[97],"measure.":[98],"proposed":[100,125],"provide":[104],"excellent":[106],"capability":[107],"information":[110],"compression":[111],"being":[112],"suitable":[113],"be":[115,155],"applied":[116],"input":[118],"parameters":[119],"any":[121],"classifier.":[123],"parameterization":[126,143],"can":[127,154],"represent":[128],"all":[129],"kinds":[130],"curves":[133],"and":[134,144],"also":[135],"it":[136],"has":[137],"advantage":[139],"both":[141],"reconstructed":[146],"reduced":[150],"amount":[151],"them":[153],"computed":[156],"very":[157],"efficiently":[158],"fast":[161],"algorithm.":[166]},"counts_by_year":[{"year":2015,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}