{"id":"https://openalex.org/W2909501094","doi":"https://doi.org/10.1109/ipta.2018.8608151","title":"Image Registration Algorithm Based on Super pixel Segmentation and SURF Feature Points","display_name":"Image Registration Algorithm Based on Super pixel Segmentation and SURF Feature Points","publication_year":2018,"publication_date":"2018-11-01","ids":{"openalex":"https://openalex.org/W2909501094","doi":"https://doi.org/10.1109/ipta.2018.8608151","mag":"2909501094"},"language":"en","primary_location":{"id":"doi:10.1109/ipta.2018.8608151","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipta.2018.8608151","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Eighth International Conference on Image Processing Theory, Tools and Applications (IPTA)","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/A5108045376","display_name":"Weiyi Wei","orcid":"https://orcid.org/0000-0002-6179-7346"},"institutions":[{"id":"https://openalex.org/I68986083","display_name":"Northwest Normal University","ror":"https://ror.org/00gx3j908","country_code":"CN","type":"education","lineage":["https://openalex.org/I68986083"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Weiyi Wei","raw_affiliation_strings":["College of Computer Science and Engineering, Northwest Normal University, Lanzhou, Gansu, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Engineering, Northwest Normal University, Lanzhou, Gansu, China","institution_ids":["https://openalex.org/I68986083"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063780849","display_name":"A Chengfeng","orcid":null},"institutions":[{"id":"https://openalex.org/I68986083","display_name":"Northwest Normal University","ror":"https://ror.org/00gx3j908","country_code":"CN","type":"education","lineage":["https://openalex.org/I68986083"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chengfeng A.","raw_affiliation_strings":["Northwest Normal University, Lanzhou, Gansu, CN"],"affiliations":[{"raw_affiliation_string":"Northwest Normal University, Lanzhou, Gansu, CN","institution_ids":["https://openalex.org/I68986083"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030295776","display_name":"Yufei Zhao","orcid":"https://orcid.org/0000-0002-5919-7595"},"institutions":[{"id":"https://openalex.org/I68986083","display_name":"Northwest Normal University","ror":"https://ror.org/00gx3j908","country_code":"CN","type":"education","lineage":["https://openalex.org/I68986083"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yufei Zhao","raw_affiliation_strings":["College of Computer Science and Engineering, Northwest Normal University, Lanzhou, Gansu, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Engineering, Northwest Normal University, Lanzhou, Gansu, China","institution_ids":["https://openalex.org/I68986083"]}]},{"author_position":"last","author":{"id":null,"display_name":"Guicang Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I68986083","display_name":"Northwest Normal University","ror":"https://ror.org/00gx3j908","country_code":"CN","type":"education","lineage":["https://openalex.org/I68986083"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guicang Zhang","raw_affiliation_strings":["College of Mathematics and Statistics, Northwest Normal University, Lanzhou, Gansu, China"],"affiliations":[{"raw_affiliation_string":"College of Mathematics and Statistics, Northwest Normal University, Lanzhou, Gansu, China","institution_ids":["https://openalex.org/I68986083"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5108045376"],"corresponding_institution_ids":["https://openalex.org/I68986083"],"apc_list":null,"apc_paid":null,"fwci":0.2125,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.58488949,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"110","issue":null,"first_page":"1","last_page":"5"},"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":0.9983000159263611,"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":0.9983000159263611,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9886000156402588,"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":0.9879999756813049,"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":0.7187478542327881},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.7024132013320923},{"id":"https://openalex.org/keywords/image-registration","display_name":"Image registration","score":0.6512316465377808},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6058106422424316},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6052874326705933},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5828894376754761},{"id":"https://openalex.org/keywords/feature-detection","display_name":"Feature detection (computer vision)","score":0.5671882629394531},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5652757883071899},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5204241871833801},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4909503757953644},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.44867539405822754},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.42672935128211975},{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.41272640228271484},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.3804064393043518},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3699268102645874},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.32263144850730896},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2653629779815674}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7187478542327881},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.7024132013320923},{"id":"https://openalex.org/C166704113","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image registration","level":3,"score":0.6512316465377808},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6058106422424316},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6052874326705933},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5828894376754761},{"id":"https://openalex.org/C126422989","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature detection (computer vision)","level":4,"score":0.5671882629394531},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5652757883071899},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5204241871833801},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4909503757953644},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.44867539405822754},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.42672935128211975},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.41272640228271484},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.3804064393043518},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3699268102645874},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.32263144850730896},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2653629779815674},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"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},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ipta.2018.8608151","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ipta.2018.8608151","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 Eighth International Conference on Image Processing Theory, Tools and Applications (IPTA)","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":9,"referenced_works":["https://openalex.org/W1677409904","https://openalex.org/W1968048419","https://openalex.org/W1981202789","https://openalex.org/W2085261163","https://openalex.org/W2118246710","https://openalex.org/W2119300483","https://openalex.org/W2119605622","https://openalex.org/W2130017587","https://openalex.org/W2735563939"],"related_works":["https://openalex.org/W2426195296","https://openalex.org/W1970834875","https://openalex.org/W2367847708","https://openalex.org/W2135643201","https://openalex.org/W2370810807","https://openalex.org/W2368895820","https://openalex.org/W2156531368","https://openalex.org/W2387425358","https://openalex.org/W2542788974","https://openalex.org/W2112223184"],"abstract_inverted_index":{"In":[0],"the":[1,18,43,50,69,77,85,96,101,111],"current":[2],"image":[3,29,32,44,55,104],"registration":[4,33],"technology,":[5],"feature":[6,11,22,38,63,88,105],"points":[7,12,39,61,64,89],"detection":[8,24],"and":[9,25,49,84,108],"matching":[10],"have":[13],"lower":[14],"accuracy.":[15],"Based":[16],"on":[17,36],"analysis":[19],"of":[20,53,71,87,103,113],"SURF":[21,37,78],"point":[23,106],"information":[26,51,72],"entropy":[27,52],"for":[28],"registration,":[30],"an":[31],"algorithm":[34,98],"based":[35],"is":[40,45,57,82,90],"proposed.":[41],"Firstly,":[42],"divided":[46],"into":[47],"super-pixels,":[48],"each":[54],"area":[56],"calculated.":[58],"The":[59,74],"redundant":[60],"in":[62],"are":[65],"eliminated":[66],"by":[67],"using":[68],"value":[70],"quantity.":[73],"problem":[75],"that":[76,95],"operator":[79],"distributes":[80],"densely":[81],"improved":[83,97],"number":[86],"reduced.":[91],"Experimental":[92],"results":[93],"show":[94],"can":[99],"improve":[100,110],"accuracy":[102],"pairs,":[107],"effectively":[109],"quality":[112],"registration.":[114]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}