{"id":"https://openalex.org/W1614795560","doi":"https://doi.org/10.1109/ijcnn.2015.7280470","title":"ECAS-II: A hybrid algorithm for the construction of multidimensional image segmenters","display_name":"ECAS-II: A hybrid algorithm for the construction of multidimensional image segmenters","publication_year":2015,"publication_date":"2015-07-01","ids":{"openalex":"https://openalex.org/W1614795560","doi":"https://doi.org/10.1109/ijcnn.2015.7280470","mag":"1614795560"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2015.7280470","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2015.7280470","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Joint Conference on Neural Networks (IJCNN)","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/A5053663641","display_name":"Blanca Priego","orcid":"https://orcid.org/0000-0003-1609-0429"},"institutions":[{"id":"https://openalex.org/I11019714","display_name":"Universidade da Coru\u00f1a","ror":"https://ror.org/01qckj285","country_code":"ES","type":"education","lineage":["https://openalex.org/I11019714"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"B. Priego","raw_affiliation_strings":["Integrated Group for Engineering Research, Universidade da Coru\u00f1a, Spain"],"affiliations":[{"raw_affiliation_string":"Integrated Group for Engineering Research, Universidade da Coru\u00f1a, Spain","institution_ids":["https://openalex.org/I11019714"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068360111","display_name":"Francisco Bellas","orcid":"https://orcid.org/0000-0001-6043-1468"},"institutions":[{"id":"https://openalex.org/I11019714","display_name":"Universidade da Coru\u00f1a","ror":"https://ror.org/01qckj285","country_code":"ES","type":"education","lineage":["https://openalex.org/I11019714"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"F. Bellas","raw_affiliation_strings":["Integrated Group for Engineering Research, Universidade da Coru\u00f1a, Spain"],"affiliations":[{"raw_affiliation_string":"Integrated Group for Engineering Research, Universidade da Coru\u00f1a, Spain","institution_ids":["https://openalex.org/I11019714"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036723055","display_name":"Richard J. Duro","orcid":"https://orcid.org/0000-0002-6807-524X"},"institutions":[{"id":"https://openalex.org/I11019714","display_name":"Universidade da Coru\u00f1a","ror":"https://ror.org/01qckj285","country_code":"ES","type":"education","lineage":["https://openalex.org/I11019714"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"R. J. Duro","raw_affiliation_strings":["Integrated Group for Engineering Research, Universidade da Coru\u00f1a, Spain"],"affiliations":[{"raw_affiliation_string":"Integrated Group for Engineering Research, Universidade da Coru\u00f1a, Spain","institution_ids":["https://openalex.org/I11019714"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5053663641"],"corresponding_institution_ids":["https://openalex.org/I11019714"],"apc_list":null,"apc_paid":null,"fwci":1.2628,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.82839027,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"243","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9940999746322632,"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"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9940999746322632,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9812999963760376,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9707000255584717,"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/hyperspectral-imaging","display_name":"Hyperspectral imaging","score":0.7747060656547546},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6855975985527039},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6041503548622131},{"id":"https://openalex.org/keywords/cellular-automaton","display_name":"Cellular automaton","score":0.6024049520492554},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.5982388257980347},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.5875717401504517},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5588581562042236},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5567111968994141},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.541010320186615},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5164363980293274},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5109964609146118},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4596391022205353},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3603287935256958}],"concepts":[{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.7747060656547546},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6855975985527039},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6041503548622131},{"id":"https://openalex.org/C35527583","wikidata":"https://www.wikidata.org/wiki/Q189156","display_name":"Cellular automaton","level":2,"score":0.6024049520492554},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5982388257980347},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.5875717401504517},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5588581562042236},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5567111968994141},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.541010320186615},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5164363980293274},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5109964609146118},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4596391022205353},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3603287935256958},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ijcnn.2015.7280470","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2015.7280470","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai:rodin.uca.es:10498/34700","is_oa":false,"landing_page_url":"http://hdl.handle.net/10498/34700","pdf_url":null,"source":{"id":"https://openalex.org/S4306400506","display_name":"RODIN (Universidad de C\u00e1diz)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I39147953","host_organization_name":"Universidad de C\u00e1diz","host_organization_lineage":["https://openalex.org/I39147953"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"2015 International Joint Conference on Neural Networks (IJCNN). IEEE, 2015. p. 1-8.","raw_type":"info:eu-repo/semantics/acceptedVersion"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1595159159","https://openalex.org/W1997529414","https://openalex.org/W2000072137","https://openalex.org/W2021783069","https://openalex.org/W2052397198","https://openalex.org/W2065491704","https://openalex.org/W2101365302","https://openalex.org/W2112981956","https://openalex.org/W2115451191","https://openalex.org/W2130463078","https://openalex.org/W2131697388","https://openalex.org/W2133349950","https://openalex.org/W2145837601","https://openalex.org/W2149471024","https://openalex.org/W2153635508","https://openalex.org/W2166658286","https://openalex.org/W2177973647","https://openalex.org/W2206927785","https://openalex.org/W2402188521","https://openalex.org/W2535656608","https://openalex.org/W3120421331","https://openalex.org/W6681497849"],"related_works":["https://openalex.org/W2072166414","https://openalex.org/W3209970181","https://openalex.org/W2060875994","https://openalex.org/W3034375524","https://openalex.org/W4230131218","https://openalex.org/W2070598848","https://openalex.org/W2044184146","https://openalex.org/W4313014865","https://openalex.org/W2019190440","https://openalex.org/W1522196789"],"abstract_inverted_index":{"In":[0,57],"this":[1],"paper":[2],"we":[3],"describe":[4],"a":[5,36],"hybrid":[6],"evolutionary-cellular":[7],"automata":[8,28],"based":[9],"algorithm":[10,22,83],"for":[11],"the":[12,26,47,50,69,72,75,79,94,109],"segmentation":[13,95],"of":[14,38,52,61,71,74],"multidimensional":[15],"images,":[16,43],"in":[17,78,108],"particular":[18],"hyperspectral":[19,55,91],"images.":[20,56],"This":[21],"permits":[23],"automatically":[24],"generating":[25],"cellular":[27],"transition":[29],"rule":[30],"set":[31,35],"using":[32],"as":[33],"training":[34,80],"group":[37],"appropriately":[39],"generated":[40],"synthetic":[41,88],"RGB":[42,76],"which":[44],"greatly":[45],"simplifies":[46],"process":[48],"given":[49],"lack":[51],"adequately":[53],"labeled":[54],"addition,":[58],"different":[59],"types":[60],"high":[62],"dimensional":[63],"segmentations":[64],"can":[65],"be":[66],"obtained":[67],"through":[68],"regulation":[70],"parameters":[73],"images":[77,92],"set.":[81],"The":[82],"has":[84],"been":[85],"tested":[86],"over":[87],"and":[89,93],"real":[90],"results":[96],"it":[97],"produces":[98],"are":[99],"very":[100],"competitive":[101],"when":[102],"compared":[103],"to":[104],"other":[105],"approaches":[106],"found":[107],"literature.":[110]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":3}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}