{"id":"https://openalex.org/W4399373986","doi":"https://doi.org/10.1109/icit58233.2024.10540799","title":"Image Matching Method based on Harris Wavelet Algorithm and Sift Algorithm","display_name":"Image Matching Method based on Harris Wavelet Algorithm and Sift Algorithm","publication_year":2024,"publication_date":"2024-03-25","ids":{"openalex":"https://openalex.org/W4399373986","doi":"https://doi.org/10.1109/icit58233.2024.10540799"},"language":"en","primary_location":{"id":"doi:10.1109/icit58233.2024.10540799","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icit58233.2024.10540799","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Industrial Technology (ICIT)","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/A5103168286","display_name":"Lu Guo","orcid":"https://orcid.org/0000-0003-3507-2277"},"institutions":[{"id":"https://openalex.org/I4210123599","display_name":"Liaoning Jianzhu Vocational University","ror":"https://ror.org/03wtdg769","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210123599"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lu Guo","raw_affiliation_strings":["School of Digital Information Liaoning Economy Vocational and Technical College,Shenyang,China","School of Digital Information Liaoning Economy Vocational and Technical College, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"School of Digital Information Liaoning Economy Vocational and Technical College,Shenyang,China","institution_ids":["https://openalex.org/I4210123599"]},{"raw_affiliation_string":"School of Digital Information Liaoning Economy Vocational and Technical College, Shenyang, China","institution_ids":["https://openalex.org/I4210123599"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101503875","display_name":"Ying Wei","orcid":"https://orcid.org/0000-0002-5352-9675"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ying Wei","raw_affiliation_strings":["School of Information and Control Shenyang Institute of Technology,Fushun,China","School of Information and Control Shenyang Institute of Technology, Fushun, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Control Shenyang Institute of Technology,Fushun,China","institution_ids":[]},{"raw_affiliation_string":"School of Information and Control Shenyang Institute of Technology, Fushun, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5103168286"],"corresponding_institution_ids":["https://openalex.org/I4210123599"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07255744,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2019","issue":null,"first_page":"1","last_page":"7"},"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":0.9990000128746033,"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":0.9990000128746033,"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/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.97079998254776,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9696000218391418,"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/scale-invariant-feature-transform","display_name":"Scale-invariant feature transform","score":0.8724715113639832},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6446022987365723},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6170388460159302},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6025550365447998},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5170886516571045},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5120008587837219},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.5047036409378052},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.47712206840515137},{"id":"https://openalex.org/keywords/blossom-algorithm","display_name":"Blossom algorithm","score":0.47170257568359375},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.47020870447158813},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4427242577075958},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.40747153759002686},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.37574586272239685},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3731086254119873}],"concepts":[{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.8724715113639832},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6446022987365723},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6170388460159302},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6025550365447998},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5170886516571045},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5120008587837219},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.5047036409378052},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.47712206840515137},{"id":"https://openalex.org/C61455927","wikidata":"https://www.wikidata.org/wiki/Q1030529","display_name":"Blossom algorithm","level":3,"score":0.47170257568359375},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.47020870447158813},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4427242577075958},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.40747153759002686},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.37574586272239685},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3731086254119873},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icit58233.2024.10540799","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icit58233.2024.10540799","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Industrial Technology (ICIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2326146002","https://openalex.org/W2559317281","https://openalex.org/W2747629414","https://openalex.org/W2758126011","https://openalex.org/W2759228394"],"related_works":["https://openalex.org/W2077021924","https://openalex.org/W2364339999","https://openalex.org/W2072576907","https://openalex.org/W2074979281","https://openalex.org/W2372924262","https://openalex.org/W1967883376","https://openalex.org/W4295786246","https://openalex.org/W2388389322","https://openalex.org/W2375508226","https://openalex.org/W2368163588"],"abstract_inverted_index":{"In":[0],"order":[1],"to":[2,83,127],"solve":[3,33],"the":[4,34,70,77,85,101,114,130,140],"problem":[5,35],"of":[6,72,94,116,144],"image":[7,22,52,58,102,145],"self":[8],"similarity":[9],"or":[10],"symmetry":[11],"sift":[12],"matching":[13,23,59,123,146,160],"stability":[14],"is":[15,66,125],"not":[16],"high,":[17],"this":[18],"paper":[19],"proposes":[20],"an":[21],"method":[24,60,115],"combining":[25,156],"SIFT":[26,37,74],"algorithm":[27,78],"with":[28,97,157],"Harris":[29,63,80],"Wavelet":[30],"algorithm.":[31],"To":[32],"that":[36,139],"features":[38],"extract":[39],"more":[40],"pseudo":[41],"points":[42,45,96,154],"and":[43,50,89,108,120,142,155],"unstable":[44],"from":[46],"rich":[47],"texture":[48],"images":[49],"affect":[51],"matching,":[53],"a":[54,91,158],"local":[55],"invariant":[56,75,87,117],"feature":[57,95,111,118,133,153],"based":[61],"on":[62],"threshold":[64,81],"criterion":[65,82],"proposed":[67],"Algorithm.":[68],"On":[69],"basis":[71],"extracting":[73],"features,":[76,88],"uses":[79],"select":[84],"extracted":[86,131],"eliminates":[90],"large":[92],"number":[93],"poor":[98],"distinguishability":[99],"in":[100],"region,":[103],"thus":[104],"obtaining":[105,151],"relatively":[106],"stable":[107,132,152],"better":[109],"distinguishable":[110],"points.":[112,134],"Secondly,":[113],"vector":[119],"graph":[121],"transformation":[122],"(GTM)":[124],"used":[126],"accurately":[128],"match":[129],"The":[135],"experimental":[136],"results":[137],"show":[138],"efficiency":[141],"robustness":[143],"can":[147],"be":[148],"enhanced":[149],"by":[150],"good":[159],"strategy.":[161]},"counts_by_year":[],"updated_date":"2025-12-23T23:11:35.936235","created_date":"2025-10-10T00:00:00"}