{"id":"https://openalex.org/W2793037920","doi":"https://doi.org/10.1109/cisp-bmei.2017.8302060","title":"Harris corner detection based leaf image segmentation for ancient Chinese books","display_name":"Harris corner detection based leaf image segmentation for ancient Chinese books","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2793037920","doi":"https://doi.org/10.1109/cisp-bmei.2017.8302060","mag":"2793037920"},"language":"en","primary_location":{"id":"doi:10.1109/cisp-bmei.2017.8302060","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei.2017.8302060","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","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/A5100755924","display_name":"Jingjing Zhang","orcid":"https://orcid.org/0000-0002-3364-2582"},"institutions":[{"id":"https://openalex.org/I75689368","display_name":"Communication University of China","ror":"https://ror.org/04facbs33","country_code":"CN","type":"education","lineage":["https://openalex.org/I75689368"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jingjing Zhang","raw_affiliation_strings":["Beijing Key Laboratory of Modern Entertainment Technology","Faculty of science and technology, Communication University of China, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Modern Entertainment Technology","institution_ids":[]},{"raw_affiliation_string":"Faculty of science and technology, Communication University of China, Beijing, China","institution_ids":["https://openalex.org/I75689368"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044005178","display_name":"Yuan Cai","orcid":null},"institutions":[{"id":"https://openalex.org/I75689368","display_name":"Communication University of China","ror":"https://ror.org/04facbs33","country_code":"CN","type":"education","lineage":["https://openalex.org/I75689368"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Cai","raw_affiliation_strings":["Beijing Key Laboratory of Modern Entertainment Technology","Faculty of science and technology, Communication University of China, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Modern Entertainment Technology","institution_ids":[]},{"raw_affiliation_string":"Faculty of science and technology, Communication University of China, Beijing, China","institution_ids":["https://openalex.org/I75689368"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002942261","display_name":"Wei Jiang","orcid":"https://orcid.org/0000-0002-9240-5851"},"institutions":[{"id":"https://openalex.org/I75689368","display_name":"Communication University of China","ror":"https://ror.org/04facbs33","country_code":"CN","type":"education","lineage":["https://openalex.org/I75689368"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Jiang","raw_affiliation_strings":["Beijing Key Laboratory of Modern Entertainment Technology","Faculty of science and technology, Communication University of China, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Modern Entertainment Technology","institution_ids":[]},{"raw_affiliation_string":"Faculty of science and technology, Communication University of China, Beijing, China","institution_ids":["https://openalex.org/I75689368"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089890856","display_name":"Chuanyu Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I75689368","display_name":"Communication University of China","ror":"https://ror.org/04facbs33","country_code":"CN","type":"education","lineage":["https://openalex.org/I75689368"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuanyu Wang","raw_affiliation_strings":["Beijing Key Laboratory of Modern Entertainment Technology","Faculty of science and technology, Communication University of China, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Modern Entertainment Technology","institution_ids":[]},{"raw_affiliation_string":"Faculty of science and technology, Communication University of China, Beijing, China","institution_ids":["https://openalex.org/I75689368"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100755924"],"corresponding_institution_ids":["https://openalex.org/I75689368"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.22481955,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"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":0.9966999888420105,"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":0.9966999888420105,"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/T12707","display_name":"Vehicle License Plate Recognition","score":0.9876000285148621,"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/T13579","display_name":"Image and Video Stabilization","score":0.9764000177383423,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7718313932418823},{"id":"https://openalex.org/keywords/rectangle","display_name":"Rectangle","score":0.6888493299484253},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6882048845291138},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6580958962440491},{"id":"https://openalex.org/keywords/bounding-overwatch","display_name":"Bounding overwatch","score":0.639348030090332},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6362714767456055},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5691540241241455},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.5530692338943481},{"id":"https://openalex.org/keywords/corner-detection","display_name":"Corner detection","score":0.5408071279525757},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4531739354133606},{"id":"https://openalex.org/keywords/digitization","display_name":"Digitization","score":0.4415298104286194},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.42838263511657715},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4283020496368408},{"id":"https://openalex.org/keywords/range-segmentation","display_name":"Range segmentation","score":0.4277758002281189},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4151741564273834},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.39730316400527954},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.362844854593277},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.3167768120765686},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3034334182739258},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.07473796606063843}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7718313932418823},{"id":"https://openalex.org/C2781302577","wikidata":"https://www.wikidata.org/wiki/Q209","display_name":"Rectangle","level":2,"score":0.6888493299484253},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6882048845291138},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6580958962440491},{"id":"https://openalex.org/C63584917","wikidata":"https://www.wikidata.org/wiki/Q333286","display_name":"Bounding overwatch","level":2,"score":0.639348030090332},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6362714767456055},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5691540241241455},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.5530692338943481},{"id":"https://openalex.org/C39499422","wikidata":"https://www.wikidata.org/wiki/Q697320","display_name":"Corner detection","level":3,"score":0.5408071279525757},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4531739354133606},{"id":"https://openalex.org/C2779308522","wikidata":"https://www.wikidata.org/wiki/Q843958","display_name":"Digitization","level":2,"score":0.4415298104286194},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.42838263511657715},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4283020496368408},{"id":"https://openalex.org/C67561299","wikidata":"https://www.wikidata.org/wiki/Q7292710","display_name":"Range segmentation","level":5,"score":0.4277758002281189},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4151741564273834},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.39730316400527954},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.362844854593277},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.3167768120765686},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3034334182739258},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.07473796606063843},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cisp-bmei.2017.8302060","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei.2017.8302060","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.6600000262260437}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W2011519938","https://openalex.org/W2014335504","https://openalex.org/W2111308925","https://openalex.org/W2325717680","https://openalex.org/W2622633142","https://openalex.org/W6948090776"],"related_works":["https://openalex.org/W3149143116","https://openalex.org/W2992309895","https://openalex.org/W3146011161","https://openalex.org/W1975810241","https://openalex.org/W2143549796","https://openalex.org/W2148144797","https://openalex.org/W4391423722","https://openalex.org/W2135797233","https://openalex.org/W2785294226","https://openalex.org/W326224813"],"abstract_inverted_index":{"In":[0,73],"the":[1,15,18,23,27,47,54,58,65,77,80,84,88,97,102,115,124],"image":[2,20,49,135],"digitization":[3],"process":[4],"of":[5,79,104,133],"ancient":[6],"Chinese":[7],"books,":[8],"sometimes":[9],"it":[10],"is":[11,50,62,71,117],"needed":[12],"to":[13,42,52,75],"extract":[14],"leaf":[16,34,107,111,134],"from":[17],"original":[19,48],"and":[21,26,57,91,108,114],"separate":[22],"left":[24,105],"half":[25,106,110],"right":[28,109],"half.":[29],"This":[30],"paper":[31],"proposes":[32],"a":[33,131],"segmentation":[35,116],"method":[36,126],"based":[37],"on":[38],"Harris":[39,68],"corner":[40,69,85],"detection":[41,70],"solve":[43],"this":[44],"problem.":[45],"Firstly,":[46],"preprocessed":[51],"recognize":[53,76],"contour":[55],"information,":[56],"minimum":[59],"bounding":[60],"rectangle":[61],"determined":[63],"by":[64],"contour.":[66],"Then,":[67],"used.":[72],"order":[74],"edge":[78],"leaf,":[81],"we":[82],"traverse":[83],"points":[86,94],"in":[87,130],"special":[89],"area":[90],"save":[92],"those":[93],"which":[95],"meet":[96],"threshold":[98],"requirement.":[99],"At":[100],"last,":[101],"edges":[103],"are":[112],"determined,":[113],"completed.":[118],"The":[119],"experimental":[120],"results":[121],"show":[122],"that":[123],"proposed":[125],"achieves":[127],"good":[128],"performance":[129],"class":[132],"segmentation.":[136]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}