{"id":"https://openalex.org/W2544640455","doi":"https://doi.org/10.1109/icima.2004.1384273","title":"Image salient point detection based on wavelet","display_name":"Image salient point detection based on wavelet","publication_year":2005,"publication_date":"2005-04-06","ids":{"openalex":"https://openalex.org/W2544640455","doi":"https://doi.org/10.1109/icima.2004.1384273","mag":"2544640455"},"language":"en","primary_location":{"id":"doi:10.1109/icima.2004.1384273","doi":"https://doi.org/10.1109/icima.2004.1384273","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icima.2004.1384273","pdf_url":null,"source":{"id":"https://openalex.org/S4306419667","display_name":"International Conference on Mechatronics and Automation","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 International Conference on Intelligent Mechatronics and Automation, 2004. Proceedings.","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","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/A5100298039","display_name":"Yanling Hao","orcid":"https://orcid.org/0000-0003-4052-8523","observed_orcids":["https://orcid.org/0000-0003-4052-8523"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yanling Hao","raw_affiliation_strings":["Automation College, Harbin Engineering of Technology, Harbin, Heilongjiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Automation College, Harbin Engineering of Technology, Harbin, Heilongjiang, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039441874","display_name":"Donghui Shen","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Donghui Shen","raw_affiliation_strings":["Automation College, Harbin Engineering of Technology, Harbin, Heilongjiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Automation College, Harbin Engineering of Technology, Harbin, Heilongjiang, China","institution_ids":[]}]},{"author_position":"last","author":{"id":null,"display_name":"Bing Gong","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bing Gong","raw_affiliation_strings":["Automation College, Harbin Engineering of Technology, Harbin, Heilongjiang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Automation College, Harbin Engineering of Technology, Harbin, Heilongjiang, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2598,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.56007138,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"14","issue":null,"first_page":"638","last_page":"643"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.7275000214576721,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.7275000214576721,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.09449999779462814,"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":0.049400001764297485,"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/salient-point-detection","display_name":"salient point detection","score":0.9120000004768372},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"wavelet transform","score":0.9509999752044678},{"id":"https://openalex.org/keywords/wavelet-coefficients","display_name":"wavelet coefficients","score":0.8040000200271606},{"id":"https://openalex.org/keywords/local-maxima","display_name":"local maxima","score":0.6489999890327454},{"id":"https://openalex.org/keywords/threshold-filtering","display_name":"threshold filtering","score":0.6990000009536743},{"id":"https://openalex.org/keywords/edge-detection","display_name":"edge detection","score":0.5889999866485596},{"id":"https://openalex.org/keywords/multiscale-analysis","display_name":"multiscale analysis","score":0.5910000205039978},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"signal-to-noise ratio","score":0.7760000228881836},{"id":"https://openalex.org/keywords/computational-efficiency","display_name":"computational efficiency","score":0.3059999942779541}],"concepts":[{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.7916668057441711},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.7806746959686279},{"id":"https://openalex.org/C73339587","wikidata":"https://www.wikidata.org/wiki/Q1375942","display_name":"Stationary wavelet transform","level":5,"score":0.6590668559074402},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6586047410964966},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.6361019015312195},{"id":"https://openalex.org/C155777637","wikidata":"https://www.wikidata.org/wiki/Q2736187","display_name":"Wavelet packet decomposition","level":4,"score":0.5862607955932617},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5756028890609741},{"id":"https://openalex.org/C111350171","wikidata":"https://www.wikidata.org/wiki/Q7443700","display_name":"Second-generation wavelet transform","level":5,"score":0.5724298357963562},{"id":"https://openalex.org/C88829872","wikidata":"https://www.wikidata.org/wiki/Q5048176","display_name":"Cascade algorithm","level":5,"score":0.5478038191795349},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.5001540184020996},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4968927204608917},{"id":"https://openalex.org/C1109138","wikidata":"https://www.wikidata.org/wiki/Q3280930","display_name":"Harmonic wavelet transform","level":5,"score":0.4573360085487366},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4556654989719391},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4484163522720337},{"id":"https://openalex.org/C199550912","wikidata":"https://www.wikidata.org/wiki/Q3238415","display_name":"Lifting scheme","level":5,"score":0.4311133027076721},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.38163065910339355},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.06844592094421387}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icima.2004.1384273","doi":"https://doi.org/10.1109/icima.2004.1384273","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icima.2004.1384273","pdf_url":null,"source":{"id":"https://openalex.org/S4306419667","display_name":"International Conference on Mechatronics and Automation","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 International Conference on Intelligent Mechatronics and Automation, 2004. Proceedings.","raw_type":"proceedings-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":7,"referenced_works":["https://openalex.org/W1974803689","https://openalex.org/W2004217976","https://openalex.org/W2070988824","https://openalex.org/W2105542305","https://openalex.org/W2111308925","https://openalex.org/W2115084764","https://openalex.org/W2152328854"],"related_works":["https://openalex.org/W2896534268","https://openalex.org/W2121041078","https://openalex.org/W2094407009","https://openalex.org/W2070988824","https://openalex.org/W2773444422","https://openalex.org/W2372023445","https://openalex.org/W2377558700","https://openalex.org/W2033871706","https://openalex.org/W2139425822","https://openalex.org/W1546889416"],"abstract_inverted_index":{"Form":[0],"the":[1],"theory":[2],"of":[3,7,12,17,22],"image":[4,23,87],"edge":[5],"detection":[6,26],"wavelet":[8,32,37,40,68,91],"transform;":[9],"local":[10,80],"maximum":[11],"wrivelet":[13],"coefficients":[14,69],"represents":[15],"variation":[16],"image.":[18],"The":[19],"new":[20],"methald":[21],"salient":[24,60,74,81,88],"point":[25,61,75,89],"was":[27,62],"put":[28],"forward":[29],"based":[30],"on":[31],"transform.":[33],"For":[34],"a":[35],"given":[36],"coefficient,":[38],"correspond":[39],"coefficient":[41],"could":[42,76],"be":[43,77],"computed":[44,63,78],"at":[45,70],"finer":[46],"scale.":[47,72],"Computer":[48],"velocity":[49],"and":[50],"Signal-to-":[51],"Noise":[52],"Ratio":[53],"were":[54],"improved":[55],"through":[56],"threshold":[57],"filtering.":[58],"Local":[59],"by":[64],"adding":[65],"up":[66],"all":[67],"every":[71],"Global":[73],"from":[79],"point.":[82],"Comparing":[83],"with":[84],"traditional":[85],"method,":[86],"using":[90],"transform":[92],"is":[93],"more":[94],"spread.":[95]},"counts_by_year":[],"updated_date":"2026-10-29T09:56:32.521200","created_date":"2016-11-04T00:00:00"}