{"id":"https://openalex.org/W2784285657","doi":"https://doi.org/10.1109/icsai.2017.8248480","title":"Rapid detection algorithms for log diameter classes based on stereo vision","display_name":"Rapid detection algorithms for log diameter classes based on stereo vision","publication_year":2017,"publication_date":"2017-11-01","ids":{"openalex":"https://openalex.org/W2784285657","doi":"https://doi.org/10.1109/icsai.2017.8248480","mag":"2784285657"},"language":"en","primary_location":{"id":"doi:10.1109/icsai.2017.8248480","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsai.2017.8248480","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 4th International Conference on Systems and Informatics (ICSAI)","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/A5101415454","display_name":"Guanghua Chen","orcid":"https://orcid.org/0000-0003-2386-0815"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guanghua Chen","raw_affiliation_strings":["School of Mechanical, Beijing Jiaotong University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100381855","display_name":"Qiang Zhang","orcid":"https://orcid.org/0000-0001-6615-1336"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Zhang","raw_affiliation_strings":["School of Mechanical, Beijing Jiaotong University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026897753","display_name":"Meiqian Chen","orcid":"https://orcid.org/0000-0001-6070-6281"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meiqian Chen","raw_affiliation_strings":["School of Mechanical, Beijing Jiaotong University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026350231","display_name":"Huaiyong Yin","orcid":null},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huaiyong Yin","raw_affiliation_strings":["School of Mechanical, Beijing Jiaotong University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101415454"],"corresponding_institution_ids":["https://openalex.org/I21193070"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.28279617,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"13","issue":null,"first_page":"1266","last_page":"1271"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9907000064849854,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9907000064849854,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T10531","display_name":"Advanced Vision and Imaging","score":0.9879000186920166,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9846000075340271,"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":0.7589055299758911},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7266226410865784},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6197879314422607},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.613355278968811},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6037774085998535},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5541549921035767},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5493658185005188},{"id":"https://openalex.org/keywords/stereopsis","display_name":"Stereopsis","score":0.538048267364502},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.49111315608024597},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4886761009693146},{"id":"https://openalex.org/keywords/feature-detection","display_name":"Feature detection (computer vision)","score":0.45487815141677856},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.44916021823883057},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.43765005469322205},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.42494139075279236},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.41371747851371765},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.3665609657764435}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7589055299758911},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7266226410865784},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6197879314422607},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.613355278968811},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6037774085998535},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5541549921035767},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5493658185005188},{"id":"https://openalex.org/C68537008","wikidata":"https://www.wikidata.org/wiki/Q247932","display_name":"Stereopsis","level":2,"score":0.538048267364502},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.49111315608024597},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4886761009693146},{"id":"https://openalex.org/C126422989","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature detection (computer vision)","level":4,"score":0.45487815141677856},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.44916021823883057},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.43765005469322205},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.42494139075279236},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.41371747851371765},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3665609657764435},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsai.2017.8248480","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsai.2017.8248480","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 4th International Conference on Systems and Informatics (ICSAI)","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":14,"referenced_works":["https://openalex.org/W2044810049","https://openalex.org/W2087247938","https://openalex.org/W2352611118","https://openalex.org/W2355207335","https://openalex.org/W2362966774","https://openalex.org/W2365409081","https://openalex.org/W2372768607","https://openalex.org/W2393634607","https://openalex.org/W3005172668","https://openalex.org/W3006749187","https://openalex.org/W6672295862","https://openalex.org/W6999892696","https://openalex.org/W7004913036","https://openalex.org/W7025073545"],"related_works":["https://openalex.org/W1970299273","https://openalex.org/W4234766120","https://openalex.org/W4205368567","https://openalex.org/W2106863381","https://openalex.org/W2153517464","https://openalex.org/W2951798667","https://openalex.org/W3037821027","https://openalex.org/W2790935876","https://openalex.org/W2040965063","https://openalex.org/W2406766797"],"abstract_inverted_index":{"The":[0],"following":[1],"topics":[2],"are":[3],"dealt":[4],"with:":[5],"feature":[6],"extraction;":[7],"learning":[8],"(artificial":[9],"intelligence);":[10],"neural":[11],"nets;":[12],"pattern":[13],"classification;":[14,18],"object":[15],"detection;":[16],"image":[17,22],"probability;":[19],"power":[20],"grids;":[21],"segmentation;":[23],"text":[24],"analysis.":[25]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
