{"id":"https://openalex.org/W2912214394","doi":"https://doi.org/10.1186/s13640-018-0404-5","title":"Establishment of cellular automata image model and its application in image dimension measurement","display_name":"Establishment of cellular automata image model and its application in image dimension measurement","publication_year":2019,"publication_date":"2019-01-15","ids":{"openalex":"https://openalex.org/W2912214394","doi":"https://doi.org/10.1186/s13640-018-0404-5","mag":"2912214394"},"language":"en","primary_location":{"id":"doi:10.1186/s13640-018-0404-5","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13640-018-0404-5","pdf_url":"https://jivp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13640-018-0404-5","source":{"id":"https://openalex.org/S153767265","display_name":"EURASIP Journal on Image and Video Processing","issn_l":"1687-5176","issn":["1687-5176","1687-5281"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Image and Video Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://jivp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13640-018-0404-5","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5049120636","display_name":"Fei Peng","orcid":"https://orcid.org/0000-0001-8053-4587"},"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":"Fei Peng","raw_affiliation_strings":["School of Traffic and Transportation, Beijing Jiaotong University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Traffic and Transportation, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082547911","display_name":"Shuqiang Wang","orcid":"https://orcid.org/0000-0003-1119-320X"},"institutions":[{"id":"https://openalex.org/I106079672","display_name":"Hebei University of Engineering","ror":"https://ror.org/036h65h05","country_code":"CN","type":"education","lineage":["https://openalex.org/I106079672"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shuqiang Wang","raw_affiliation_strings":["School of Information and Electricity Engineering, Hebei University of Engineering, Handan, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Electricity Engineering, Hebei University of Engineering, Handan, China","institution_ids":["https://openalex.org/I106079672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108942441","display_name":"Shuo Liang","orcid":null},"institutions":[{"id":"https://openalex.org/I113389987","display_name":"Handan College","ror":"https://ror.org/03fkpw052","country_code":"CN","type":"education","lineage":["https://openalex.org/I113389987"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuo Liang","raw_affiliation_strings":["School of Information Engineering, Handan College, Handan, China"],"affiliations":[{"raw_affiliation_string":"School of Information Engineering, Handan College, Handan, China","institution_ids":["https://openalex.org/I113389987"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5082547911"],"corresponding_institution_ids":["https://openalex.org/I106079672"],"apc_list":{"value":1140,"currency":"GBP","value_usd":1398},"apc_paid":{"value":1140,"currency":"GBP","value_usd":1398},"fwci":0.2044,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.51412537,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2019","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12923","display_name":"Digital Image Processing Techniques","score":0.9945999979972839,"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/T12923","display_name":"Digital Image Processing Techniques","score":0.9945999979972839,"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":0.9883000254631042,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9846000075340271,"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/biometrics","display_name":"Biometrics","score":0.7771898508071899},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.6451589465141296},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.6277869939804077},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5911427140235901},{"id":"https://openalex.org/keywords/cellular-automaton","display_name":"Cellular automaton","score":0.5763072371482849},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.546916127204895},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5359804034233093},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4799771308898926},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2428375780582428}],"concepts":[{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.7771898508071899},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.6451589465141296},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.6277869939804077},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5911427140235901},{"id":"https://openalex.org/C35527583","wikidata":"https://www.wikidata.org/wiki/Q189156","display_name":"Cellular automaton","level":2,"score":0.5763072371482849},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.546916127204895},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5359804034233093},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4799771308898926},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2428375780582428},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/s13640-018-0404-5","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13640-018-0404-5","pdf_url":"https://jivp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13640-018-0404-5","source":{"id":"https://openalex.org/S153767265","display_name":"EURASIP Journal on Image and Video Processing","issn_l":"1687-5176","issn":["1687-5176","1687-5281"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Image and Video Processing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:bad38ea03c1b4c75b431c387891a9506","is_oa":true,"landing_page_url":"https://doaj.org/article/bad38ea03c1b4c75b431c387891a9506","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"EURASIP Journal on Image and Video Processing, Vol 2019, Iss 1, Pp 1-11 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s13640-018-0404-5","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13640-018-0404-5","pdf_url":"https://jivp-eurasipjournals.springeropen.com/track/pdf/10.1186/s13640-018-0404-5","source":{"id":"https://openalex.org/S153767265","display_name":"EURASIP Journal on Image and Video Processing","issn_l":"1687-5176","issn":["1687-5176","1687-5281"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURASIP Journal on Image and Video Processing","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.4300000071525574,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2912214394.pdf","grobid_xml":"https://content.openalex.org/works/W2912214394.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W91674653","https://openalex.org/W1581809140","https://openalex.org/W1786014649","https://openalex.org/W1964836883","https://openalex.org/W1965050251","https://openalex.org/W1999478155","https://openalex.org/W2006144161","https://openalex.org/W2017787659","https://openalex.org/W2021995757","https://openalex.org/W2031177719","https://openalex.org/W2036424138","https://openalex.org/W2050944596","https://openalex.org/W2056263358","https://openalex.org/W2091868829","https://openalex.org/W2091955381","https://openalex.org/W2112543979","https://openalex.org/W2117366580","https://openalex.org/W2121947440","https://openalex.org/W2125637308","https://openalex.org/W2141039988","https://openalex.org/W2142395397","https://openalex.org/W2143967388","https://openalex.org/W2169813102","https://openalex.org/W2171276577","https://openalex.org/W2224091840","https://openalex.org/W2362997569","https://openalex.org/W2495930550","https://openalex.org/W3169507310","https://openalex.org/W4229606827"],"related_works":["https://openalex.org/W2164619678","https://openalex.org/W2076845124","https://openalex.org/W1669105318","https://openalex.org/W2183964146","https://openalex.org/W2113544496","https://openalex.org/W2360313292","https://openalex.org/W2062586268","https://openalex.org/W2379932303","https://openalex.org/W9202957","https://openalex.org/W2067777412"],"abstract_inverted_index":{"Aiming":[0],"at":[1],"how":[2],"to":[3,50,96,101],"improve":[4],"the":[5,38,48,52,56,61,65,70,74,81,85,88,92,97,105,112,120],"efficiency":[6],"of":[7,55,64,73,84],"image":[8,12,57,66,75,106],"edge":[9,13,114],"detection,":[10],"an":[11],"detection":[14,115,125],"method":[15],"based":[16,36],"on":[17,37],"least":[18],"squares":[19],"support":[20],"vector":[21],"machine":[22],"(LSSVM)":[23],"and":[24,43,69,103,119,129],"cellular":[25,89],"automata":[26,90],"is":[27,34,67,76,117],"proposed.":[28],"Firstly,":[29],"a":[30],"new":[31,121],"kernel":[32,42],"function":[33],"constructed":[35],"Gauss":[39],"radial":[40],"basis":[41],"polynomial":[44],"kernel,":[45],"which":[46],"enables":[47],"LSSVM":[49],"fit":[51],"gray":[53,82],"values":[54],"pixels":[58],"accurately.":[59],"Then,":[60,87],"gradient":[62,71,93],"operator":[63],"deduced,":[68],"value":[72,83,94],"obtained":[77],"by":[78],"convolution":[79],"with":[80],"image.":[86],"evolves":[91],"according":[95],"designed":[98],"local":[99],"rules":[100],"locate":[102],"detect":[104],"edge.":[107],"Simulation":[108],"results":[109],"show":[110],"that":[111],"proposed":[113],"algorithm":[116,122],"effective,":[118],"has":[123],"higher":[124],"performance":[126],"than":[127],"Sobel":[128],"Canny":[130],"algorithms.":[131]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}