{"id":"https://openalex.org/W4406308233","doi":"https://doi.org/10.3390/jimaging11010023","title":"An Infrared and Visible Image Alignment Method Based on Gradient Distribution Properties and Scale-Invariant Features in Electric Power Scenes","display_name":"An Infrared and Visible Image Alignment Method Based on Gradient Distribution Properties and Scale-Invariant Features in Electric Power Scenes","publication_year":2025,"publication_date":"2025-01-13","ids":{"openalex":"https://openalex.org/W4406308233","doi":"https://doi.org/10.3390/jimaging11010023","pmid":"https://pubmed.ncbi.nlm.nih.gov/39852336"},"language":"en","primary_location":{"id":"doi:10.3390/jimaging11010023","is_oa":true,"landing_page_url":"https://doi.org/10.3390/jimaging11010023","pdf_url":"https://www.mdpi.com/2313-433X/11/1/23/pdf?version=1736845317","source":{"id":"https://openalex.org/S2736465063","display_name":"Journal of Imaging","issn_l":"2313-433X","issn":["2313-433X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2313-433X/11/1/23/pdf?version=1736845317","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101727060","display_name":"Lin Zhu","orcid":"https://orcid.org/0000-0001-6487-0441"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Zhu","raw_affiliation_strings":["State Key Laboratory of Power Transmission Equipment Technology, School of Electrical Engineering, Chongqing University, Chongqing 400044, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Power Transmission Equipment Technology, School of Electrical Engineering, Chongqing University, Chongqing 400044, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103199187","display_name":"Yuxing Mao","orcid":"https://orcid.org/0000-0002-9413-2180"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuxing Mao","raw_affiliation_strings":["State Key Laboratory of Power Transmission Equipment Technology, School of Electrical Engineering, Chongqing University, Chongqing 400044, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Power Transmission Equipment Technology, School of Electrical Engineering, Chongqing University, Chongqing 400044, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022370608","display_name":"Chunxu Chen","orcid":"https://orcid.org/0000-0003-3870-9413"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunxu Chen","raw_affiliation_strings":["State Key Laboratory of Power Transmission Equipment Technology, School of Electrical Engineering, Chongqing University, Chongqing 400044, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Power Transmission Equipment Technology, School of Electrical Engineering, Chongqing University, Chongqing 400044, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"last","author":{"id":null,"display_name":"Lanjia Ning","orcid":null},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lanjia Ning","raw_affiliation_strings":["State Key Laboratory of Power Transmission Equipment Technology, School of Electrical Engineering, Chongqing University, Chongqing 400044, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Power Transmission Equipment Technology, School of Electrical Engineering, Chongqing University, Chongqing 400044, China","institution_ids":["https://openalex.org/I158842170"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5103199187"],"corresponding_institution_ids":["https://openalex.org/I158842170"],"apc_list":{"value":1600,"currency":"CHF","value_usd":1782},"apc_paid":{"value":1600,"currency":"CHF","value_usd":1782},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.00408741,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"11","issue":"1","first_page":"23","last_page":"23"},"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":0.9988999962806702,"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":0.9988999962806702,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9934999942779541,"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":0.9860000014305115,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7924628257751465},{"id":"https://openalex.org/keywords/scale-invariant-feature-transform","display_name":"Scale-invariant feature transform","score":0.7480924725532532},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6853011250495911},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.6219766736030579},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.6186926960945129},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6086010932922363},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5727565884590149},{"id":"https://openalex.org/keywords/sobel-operator","display_name":"Sobel operator","score":0.5610236525535583},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5059446692466736},{"id":"https://openalex.org/keywords/histogram-of-oriented-gradients","display_name":"Histogram of oriented gradients","score":0.45201265811920166},{"id":"https://openalex.org/keywords/scale-space","display_name":"Scale space","score":0.4458765983581543},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.42018434405326843},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.36887603998184204},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.3587777018547058},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.2601674795150757},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.19579026103019714}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7924628257751465},{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.7480924725532532},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6853011250495911},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.6219766736030579},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.6186926960945129},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6086010932922363},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5727565884590149},{"id":"https://openalex.org/C30703548","wikidata":"https://www.wikidata.org/wiki/Q1757673","display_name":"Sobel operator","level":5,"score":0.5610236525535583},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5059446692466736},{"id":"https://openalex.org/C17426736","wikidata":"https://www.wikidata.org/wiki/Q419918","display_name":"Histogram of oriented gradients","level":4,"score":0.45201265811920166},{"id":"https://openalex.org/C99102927","wikidata":"https://www.wikidata.org/wiki/Q3058184","display_name":"Scale space","level":4,"score":0.4458765983581543},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.42018434405326843},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.36887603998184204},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.3587777018547058},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2601674795150757},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.19579026103019714},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/jimaging11010023","is_oa":true,"landing_page_url":"https://doi.org/10.3390/jimaging11010023","pdf_url":"https://www.mdpi.com/2313-433X/11/1/23/pdf?version=1736845317","source":{"id":"https://openalex.org/S2736465063","display_name":"Journal of Imaging","issn_l":"2313-433X","issn":["2313-433X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Imaging","raw_type":"journal-article"},{"id":"pmid:39852336","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/39852336","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,"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":"Journal of imaging","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:11765852","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11765852","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11765852/pdf/jimaging-11-00023.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"J Imaging","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:3a48a5ef58d8475cacb8c4682628e6cd","is_oa":true,"landing_page_url":"https://doaj.org/article/3a48a5ef58d8475cacb8c4682628e6cd","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Imaging, Vol 11, Iss 1, p 23 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/jimaging11010023","is_oa":true,"landing_page_url":"https://doi.org/10.3390/jimaging11010023","pdf_url":"https://www.mdpi.com/2313-433X/11/1/23/pdf?version=1736845317","source":{"id":"https://openalex.org/S2736465063","display_name":"Journal of Imaging","issn_l":"2313-433X","issn":["2313-433X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Imaging","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1713076616","display_name":null,"funder_award_id":"2024TIAD-STX0031","funder_id":"https://openalex.org/F4320321550","funder_display_name":"Chongqing Science and Technology Commission"}],"funders":[{"id":"https://openalex.org/F4320321550","display_name":"Chongqing Science and Technology Commission","ror":"https://ror.org/05w9erc61"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4406308233.pdf","grobid_xml":"https://content.openalex.org/works/W4406308233.grobid-xml"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W2044326269","https://openalex.org/W2048925956","https://openalex.org/W2119605622","https://openalex.org/W2131931246","https://openalex.org/W2146807548","https://openalex.org/W2151103935","https://openalex.org/W2273269588","https://openalex.org/W2558850922","https://openalex.org/W2559871160","https://openalex.org/W2561726557","https://openalex.org/W2758117027","https://openalex.org/W2898488184","https://openalex.org/W2967064050","https://openalex.org/W3009305739","https://openalex.org/W3020889904","https://openalex.org/W3045585143","https://openalex.org/W3047057232","https://openalex.org/W3133849452","https://openalex.org/W3162700790","https://openalex.org/W3168585118","https://openalex.org/W3174328187","https://openalex.org/W3178880767","https://openalex.org/W4223650564","https://openalex.org/W4224248396","https://openalex.org/W4240533956","https://openalex.org/W4295222526","https://openalex.org/W4296743092","https://openalex.org/W4312312150","https://openalex.org/W4313576996","https://openalex.org/W4320002692","https://openalex.org/W4321015996","https://openalex.org/W4366264325","https://openalex.org/W4385241030","https://openalex.org/W4394843133","https://openalex.org/W6676770471","https://openalex.org/W6796621104"],"related_works":["https://openalex.org/W4388400392","https://openalex.org/W2383455043","https://openalex.org/W2343079405","https://openalex.org/W2269083758","https://openalex.org/W1974517722","https://openalex.org/W2367735169","https://openalex.org/W4225576506","https://openalex.org/W3134757346","https://openalex.org/W2545393398","https://openalex.org/W2378692644"],"abstract_inverted_index":{"In":[0],"grid":[1],"intelligent":[2],"inspection":[3],"systems,":[4],"automatic":[5],"registration":[6],"of":[7,49,76,100,111,161],"infrared":[8,32,51],"and":[9,31,52,133,146,167,170],"visible":[10,30,53],"light":[11,54],"images":[12],"in":[13,26,62,84],"power":[14],"scenes":[15],"is":[16,36,60,104],"a":[17,90],"crucial":[18],"research":[19],"technology.":[20],"Since":[21],"there":[22],"are":[23,87,116,136],"obvious":[24],"differences":[25],"key":[27],"attributes":[28],"between":[29],"images,":[33,55],"direct":[34],"alignment":[35,58],"often":[37],"difficult":[38],"to":[39,71,126],"achieve":[40],"the":[41,46,68,73,77,81,85,98,107,112,119,139,158],"expected":[42],"results.":[43,174],"To":[44],"overcome":[45],"high":[47],"difficulty":[48],"aligning":[50],"an":[56],"image":[57,78,162],"method":[59,145,154],"proposed":[61],"this":[63,153],"paper.":[64],"First,":[65],"we":[66],"use":[67],"Sobel":[69],"operator":[70],"extract":[72],"edge":[74],"information":[75],"pair.":[79],"Second,":[80],"feature":[82,113,128,159],"points":[83,160],"edges":[86],"recognised":[88],"by":[89,138],"curvature":[91],"scale":[92],"space":[93],"(CSS)":[94],"corner":[95],"detector.":[96],"Third,":[97],"Histogram":[99],"Orientation":[101],"Gradients":[102],"(HOG)":[103],"extracted":[105],"as":[106],"gradient":[108],"distribution":[109],"characteristics":[110],"points,":[114],"which":[115],"normalised":[117],"with":[118],"Scale":[120],"Invariant":[121],"Feature":[122],"Transform":[123],"(SIFT)":[124],"algorithm":[125],"form":[127],"descriptors.":[129],"Finally,":[130],"initial":[131],"matching":[132,135,144,173],"accurate":[134],"achieved":[137],"improved":[140],"fast":[141],"approximate":[142],"nearest-neighbour":[143],"adaptive":[147],"thresholding,":[148],"respectively.":[149],"Experiments":[150],"show":[151],"that":[152],"can":[155],"robustly":[156],"match":[157],"pairs":[163],"under":[164],"rotation,":[165],"scale,":[166],"viewpoint":[168],"differences,":[169],"achieves":[171],"excellent":[172]},"counts_by_year":[],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}