{"id":"https://openalex.org/W4294673001","doi":"https://doi.org/10.1109/rcar54675.2022.9872210","title":"Image Segmentation Based on An Improved Pulse Coupled Neural Network for Atomic Force Microscopy","display_name":"Image Segmentation Based on An Improved Pulse Coupled Neural Network for Atomic Force Microscopy","publication_year":2022,"publication_date":"2022-07-17","ids":{"openalex":"https://openalex.org/W4294673001","doi":"https://doi.org/10.1109/rcar54675.2022.9872210"},"language":"en","primary_location":{"id":"doi:10.1109/rcar54675.2022.9872210","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rcar54675.2022.9872210","pdf_url":null,"source":{"id":"https://openalex.org/S4363608312","display_name":"2022 IEEE International Conference on Real-time Computing and Robotics (RCAR)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Real-time Computing and Robotics (RCAR)","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/A5059159398","display_name":"Yingao Chang","orcid":"https://orcid.org/0009-0007-4307-9635"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingao Chang","raw_affiliation_strings":["Nankai University,Institute of Robotics and Automatic Information System and the Tianjin Key Laboratory of Intelligent Robotics, College of Artificial Intelligence,Tianjin,China,300350"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nankai University,Institute of Robotics and Automatic Information System and the Tianjin Key Laboratory of Intelligent Robotics, College of Artificial Intelligence,Tianjin,China,300350","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037837250","display_name":"Yinan Wu","orcid":"https://orcid.org/0000-0002-0026-5987"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yinan Wu","raw_affiliation_strings":["Nankai University,Institute of Robotics and Automatic Information System and the Tianjin Key Laboratory of Intelligent Robotics, College of Artificial Intelligence,Tianjin,China,300350"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nankai University,Institute of Robotics and Automatic Information System and the Tianjin Key Laboratory of Intelligent Robotics, College of Artificial Intelligence,Tianjin,China,300350","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058644546","display_name":"Yongchun Fang","orcid":"https://orcid.org/0000-0002-3061-2708"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongchun Fang","raw_affiliation_strings":["Nankai University,Institute of Robotics and Automatic Information System and the Tianjin Key Laboratory of Intelligent Robotics, College of Artificial Intelligence,Tianjin,China,300350"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nankai University,Institute of Robotics and Automatic Information System and the Tianjin Key Laboratory of Intelligent Robotics, College of Artificial Intelligence,Tianjin,China,300350","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077024249","display_name":"Zhi Fan","orcid":"https://orcid.org/0000-0002-5176-9712"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhi Fan","raw_affiliation_strings":["Nankai University,Institute of Robotics and Automatic Information System and the Tianjin Key Laboratory of Intelligent Robotics, College of Artificial Intelligence,Tianjin,China,300350"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nankai University,Institute of Robotics and Automatic Information System and the Tianjin Key Laboratory of Intelligent Robotics, College of Artificial Intelligence,Tianjin,China,300350","institution_ids":["https://openalex.org/I205237279"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I205237279"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.24139756,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"505","last_page":"510"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10923","display_name":"Force Microscopy Techniques and Applications","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10923","display_name":"Force Microscopy Techniques and Applications","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11324","display_name":"Spectroscopy Techniques in Biomedical and Chemical Research","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.994700014591217,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7587737441062927},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6991709470748901},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6981441378593445},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6525396108627319},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6482223868370056},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6299900412559509},{"id":"https://openalex.org/keywords/atomic-force-microscopy","display_name":"Atomic force microscopy","score":0.623725175857544},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6187376976013184},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.46945756673812866},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46187305450439453},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.41144686937332153},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.23935717344284058},{"id":"https://openalex.org/keywords/nanotechnology","display_name":"Nanotechnology","score":0.09928807616233826},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.0918809175491333}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7587737441062927},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6991709470748901},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6981441378593445},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6525396108627319},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6482223868370056},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6299900412559509},{"id":"https://openalex.org/C102951782","wikidata":"https://www.wikidata.org/wiki/Q49295","display_name":"Atomic force microscopy","level":2,"score":0.623725175857544},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6187376976013184},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.46945756673812866},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46187305450439453},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.41144686937332153},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.23935717344284058},{"id":"https://openalex.org/C171250308","wikidata":"https://www.wikidata.org/wiki/Q11468","display_name":"Nanotechnology","level":1,"score":0.09928807616233826},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0918809175491333},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/rcar54675.2022.9872210","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rcar54675.2022.9872210","pdf_url":null,"source":{"id":"https://openalex.org/S4363608312","display_name":"2022 IEEE International Conference on Real-time Computing and Robotics (RCAR)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Real-time Computing and Robotics (RCAR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1969861836","https://openalex.org/W2088382221","https://openalex.org/W2109701261","https://openalex.org/W2414774309","https://openalex.org/W2904585114","https://openalex.org/W2905475002","https://openalex.org/W2943039810","https://openalex.org/W3015985621","https://openalex.org/W3021661016","https://openalex.org/W3045589407","https://openalex.org/W3155035131","https://openalex.org/W3179500390","https://openalex.org/W3185655855","https://openalex.org/W3203480234","https://openalex.org/W6798772432"],"related_works":["https://openalex.org/W1986655823","https://openalex.org/W2185902295","https://openalex.org/W2103507220","https://openalex.org/W3144569342","https://openalex.org/W3011384228","https://openalex.org/W2945274617","https://openalex.org/W4313052709","https://openalex.org/W4298131179","https://openalex.org/W2375430703","https://openalex.org/W3199300986"],"abstract_inverted_index":{"In":[0,74],"this":[1],"study,":[2],"a":[3],"novel":[4],"method":[5,32,82,89,99],"combining":[6],"pulse":[7],"coupled":[8],"neural":[9],"network":[10,14],"(PCNN)":[11],"and":[12,40,90,109],"social":[13],"search":[15,44],"(SNS)":[16],"is":[17,83],"proposed":[18,31,81,98],"to":[19,48],"achieve":[20],"accurate":[21],"image":[22,61,105],"segmentation":[23,62],"for":[24],"an":[25,71],"atomic":[26],"force":[27],"microscopy":[28],"(AFM).":[29],"The":[30],"utilizes":[33],"the":[34,41,50,57,75,77,80,86,91,97,103],"biological":[35],"visual":[36],"characteristics":[37],"of":[38,46,59,68,79],"PCNN":[39,88],"solution":[42],"space":[43],"ability":[45],"SNS":[47],"determine":[49],"optimal":[51],"key":[52],"parameters,":[53],"which":[54,94],"can":[55,100],"address":[56],"issue":[58],"incorrect":[60],"caused":[63],"by":[64],"different":[65],"topographic":[66],"heights":[67],"specimens":[69],"in":[70],"AFM":[72,104],"image.":[73],"tests,":[76],"performance":[78],"compared":[84],"with":[85,106],"traditional":[87],"Otsu":[92],"method,":[93],"demonstrates":[95],"that":[96],"automatically":[101],"segment":[102],"higher":[107],"accuracy":[108],"robustness.":[110]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}