{"id":"https://openalex.org/W1967214898","doi":"https://doi.org/10.1117/1.2076968","title":"Multiscale corner detection of contour images using wavelet transform","display_name":"Multiscale corner detection of contour images using wavelet transform","publication_year":2005,"publication_date":"2005-10-01","ids":{"openalex":"https://openalex.org/W1967214898","doi":"https://doi.org/10.1117/1.2076968","mag":"1967214898"},"language":"en","primary_location":{"id":"doi:10.1117/1.2076968","is_oa":true,"landing_page_url":"https://doi.org/10.1117/1.2076968","pdf_url":"https://www.spiedigitallibrary.org/journals/journal-of-electronic-imaging/volume-14/issue-4/040502/Multiscale-corner-detection-of-contour-images-using-wavelet-transform/10.1117/1.2076968.pdf","source":{"id":"https://openalex.org/S158511090","display_name":"Journal of Electronic Imaging","issn_l":"1017-9909","issn":["1017-9909","1560-229X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Electronic Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://www.spiedigitallibrary.org/journals/journal-of-electronic-imaging/volume-14/issue-4/040502/Multiscale-corner-detection-of-contour-images-using-wavelet-transform/10.1117/1.2076968.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100892447","display_name":"Xinting Gao","orcid":null},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Xinting Gao","raw_affiliation_strings":["Nanyang Technological Univ. (Singapore)","Nanyang Technological University, School of Electrical and Electronic Engineering, Nanyang Avenue Singapore 639798"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanyang Technological Univ. (Singapore)","institution_ids":["https://openalex.org/I172675005"]},{"raw_affiliation_string":"Nanyang Technological University, School of Electrical and Electronic Engineering, Nanyang Avenue Singapore 639798","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100892447"],"corresponding_institution_ids":["https://openalex.org/I172675005"],"apc_list":null,"apc_paid":null,"fwci":0.2944,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.57943097,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"14","issue":"4","first_page":"040502","last_page":"040502"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9980999827384949,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9980999827384949,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9962000250816345,"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/wavelet-transform","display_name":"Wavelet transform","score":0.7035003304481506},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6915602087974548},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5969768166542053},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5796476602554321},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5559136867523193},{"id":"https://openalex.org/keywords/continuous-wavelet-transform","display_name":"Continuous wavelet transform","score":0.4905630946159363},{"id":"https://openalex.org/keywords/maxima-and-minima","display_name":"Maxima and minima","score":0.49046847224235535},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4807169735431671},{"id":"https://openalex.org/keywords/corner-detection","display_name":"Corner detection","score":0.4743824303150177},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.4365992844104767},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.42862457036972046},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.4153730571269989},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.39064109325408936},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3413770794868469},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.2848205268383026},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.1326594352722168},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.1293584406375885}],"concepts":[{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.7035003304481506},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6915602087974548},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5969768166542053},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5796476602554321},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5559136867523193},{"id":"https://openalex.org/C95722684","wikidata":"https://www.wikidata.org/wiki/Q2622756","display_name":"Continuous wavelet transform","level":5,"score":0.4905630946159363},{"id":"https://openalex.org/C186633575","wikidata":"https://www.wikidata.org/wiki/Q845060","display_name":"Maxima and minima","level":2,"score":0.49046847224235535},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4807169735431671},{"id":"https://openalex.org/C39499422","wikidata":"https://www.wikidata.org/wiki/Q697320","display_name":"Corner detection","level":3,"score":0.4743824303150177},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.4365992844104767},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.42862457036972046},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.4153730571269989},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.39064109325408936},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3413770794868469},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.2848205268383026},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.1326594352722168},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.1293584406375885},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/1.2076968","is_oa":true,"landing_page_url":"https://doi.org/10.1117/1.2076968","pdf_url":"https://www.spiedigitallibrary.org/journals/journal-of-electronic-imaging/volume-14/issue-4/040502/Multiscale-corner-detection-of-contour-images-using-wavelet-transform/10.1117/1.2076968.pdf","source":{"id":"https://openalex.org/S158511090","display_name":"Journal of Electronic Imaging","issn_l":"1017-9909","issn":["1017-9909","1560-229X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Electronic Imaging","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1117/1.2076968","is_oa":true,"landing_page_url":"https://doi.org/10.1117/1.2076968","pdf_url":"https://www.spiedigitallibrary.org/journals/journal-of-electronic-imaging/volume-14/issue-4/040502/Multiscale-corner-detection-of-contour-images-using-wavelet-transform/10.1117/1.2076968.pdf","source":{"id":"https://openalex.org/S158511090","display_name":"Journal of Electronic Imaging","issn_l":"1017-9909","issn":["1017-9909","1560-229X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Electronic Imaging","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2003292635","https://openalex.org/W2038691774","https://openalex.org/W2112328181","https://openalex.org/W2114785422","https://openalex.org/W2115755118","https://openalex.org/W2123630097","https://openalex.org/W2172263315","https://openalex.org/W3021986761"],"related_works":["https://openalex.org/W2373349805","https://openalex.org/W2077021924","https://openalex.org/W4309182840","https://openalex.org/W2611150080","https://openalex.org/W3197430789","https://openalex.org/W2375973715","https://openalex.org/W2129884646","https://openalex.org/W1966422709","https://openalex.org/W2094847008","https://openalex.org/W1969393996"],"abstract_inverted_index":{"A":[0],"new":[1],"multiscale":[2],"corner":[3,45,62,66,143],"detection":[4],"method":[5],"is":[6,29,80],"proposed":[7,99,142],"based":[8],"on":[9],"dyadic":[10,27],"wavelet":[11,51],"transform":[12,52],"(WT)":[13],"of":[14,18,25,70,85,90,97,105,111,140],"the":[15,23,26,37,68,71,77,86,91,95,98,103,112,117,122,141,147],"orientation":[16],"function":[17],"a":[19],"contour":[20,118],"image.":[21],"As":[22],"decomposition":[24,109],"WT":[28,113],"complete":[30,92],"and":[31,129,134],"its":[32],"scales":[33,38,43,58,79,110],"are":[34,39,50,59,114],"sparse,":[35],"all":[36,76],"defined":[40],"as":[41,61,82],"natural":[42,78],"for":[44,125],"detection.":[46],"The":[47,88,108],"points":[48],"that":[49],"modulus":[53],"maxima":[54],"(WTMM)":[55],"at":[56,75],"different":[57],"taken":[60],"candidates.":[63],"For":[64],"each":[65],"candidate,":[67],"sum":[69],"corresponding":[72],"normalized":[73],"WTMM":[74],"used":[81],"significance":[83],"measure":[84],"\"cornerness\".":[87],"utilization":[89],"information":[93],"makes":[94,121],"performance":[96,139],"detector":[100,144],"independent":[101],"to":[102,146],"type":[104],"input":[106],"images.":[107],"restricted":[115],"by":[116],"length,":[119],"which":[120],"algorithm":[123],"adaptable":[124],"both":[126],"long":[127],"contours":[128],"short":[130],"contours.":[131],"Both":[132],"subjective":[133],"objective":[135],"evaluation":[136],"illustrate":[137],"better":[138],"compared":[145],"conventional":[148],"methods.":[149]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-05-19T21:40:30.786675","created_date":"2025-10-10T00:00:00"}
