{"id":"https://openalex.org/W2902379669","doi":"https://doi.org/10.1109/icpr.2018.8545348","title":"Texture Segmentation using Siamese Network and Hierarchical Region Merging","display_name":"Texture Segmentation using Siamese Network and Hierarchical Region Merging","publication_year":2018,"publication_date":"2018-08-01","ids":{"openalex":"https://openalex.org/W2902379669","doi":"https://doi.org/10.1109/icpr.2018.8545348","mag":"2902379669"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2018.8545348","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2018.8545348","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 24th International Conference on Pattern Recognition (ICPR)","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/A5061730474","display_name":"Ryusuke Yamada","orcid":null},"institutions":[{"id":"https://openalex.org/I113306721","display_name":"Hiroshima University","ror":"https://ror.org/03t78wx29","country_code":"JP","type":"education","lineage":["https://openalex.org/I113306721"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Ryusuke Yamada","raw_affiliation_strings":["Department of Information Engineering, Hiroshima University"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, Hiroshima University","institution_ids":["https://openalex.org/I113306721"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112297823","display_name":"Hidenori Ide","orcid":null},"institutions":[{"id":"https://openalex.org/I113306721","display_name":"Hiroshima University","ror":"https://ror.org/03t78wx29","country_code":"JP","type":"education","lineage":["https://openalex.org/I113306721"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hidenori Ide","raw_affiliation_strings":["Department of Information Engineering, Hiroshima University"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, Hiroshima University","institution_ids":["https://openalex.org/I113306721"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001428236","display_name":"Novanto Yudistira","orcid":"https://orcid.org/0000-0001-5330-5930"},"institutions":[{"id":"https://openalex.org/I113306721","display_name":"Hiroshima University","ror":"https://ror.org/03t78wx29","country_code":"JP","type":"education","lineage":["https://openalex.org/I113306721"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Novanto Yudistira","raw_affiliation_strings":["Department of Information Engineering, Hiroshima University"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, Hiroshima University","institution_ids":["https://openalex.org/I113306721"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086456461","display_name":"Takio Kurita","orcid":"https://orcid.org/0000-0003-3982-6750"},"institutions":[{"id":"https://openalex.org/I113306721","display_name":"Hiroshima University","ror":"https://ror.org/03t78wx29","country_code":"JP","type":"education","lineage":["https://openalex.org/I113306721"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takio Kurita","raw_affiliation_strings":["Department of Information Engineering, Hiroshima University"],"affiliations":[{"raw_affiliation_string":"Department of Information Engineering, Hiroshima University","institution_ids":["https://openalex.org/I113306721"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5061730474"],"corresponding_institution_ids":["https://openalex.org/I113306721"],"apc_list":null,"apc_paid":null,"fwci":0.3134,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.63284874,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"78 d","issue":null,"first_page":"2735","last_page":"2740"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9959999918937683,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9959999918937683,"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":0.9947999715805054,"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.9926999807357788,"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":0.7842801809310913},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7269107103347778},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7233814001083374},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.6899588108062744},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6821489334106445},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.6749578714370728},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6301169395446777},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.623958170413971},{"id":"https://openalex.org/keywords/texture-compression","display_name":"Texture compression","score":0.5960580110549927},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5948185920715332},{"id":"https://openalex.org/keywords/texture-filtering","display_name":"Texture filtering","score":0.532925546169281},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4941432774066925},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.45919549465179443},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4506648778915405},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4359249770641327},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4156442880630493},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.35047370195388794}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7842801809310913},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7269107103347778},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7233814001083374},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.6899588108062744},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6821489334106445},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.6749578714370728},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6301169395446777},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.623958170413971},{"id":"https://openalex.org/C54243161","wikidata":"https://www.wikidata.org/wiki/Q39333","display_name":"Texture compression","level":5,"score":0.5960580110549927},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5948185920715332},{"id":"https://openalex.org/C144743038","wikidata":"https://www.wikidata.org/wiki/Q3267765","display_name":"Texture filtering","level":5,"score":0.532925546169281},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4941432774066925},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.45919549465179443},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4506648778915405},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4359249770641327},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4156442880630493},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.35047370195388794},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr.2018.8545348","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2018.8545348","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 24th International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W10379479","https://openalex.org/W259989452","https://openalex.org/W819977924","https://openalex.org/W1522301498","https://openalex.org/W1523554224","https://openalex.org/W1603679155","https://openalex.org/W1745334888","https://openalex.org/W1901129140","https://openalex.org/W1903029394","https://openalex.org/W1948751323","https://openalex.org/W1972885239","https://openalex.org/W1975517671","https://openalex.org/W1999478155","https://openalex.org/W2016381774","https://openalex.org/W2044465660","https://openalex.org/W2096733369","https://openalex.org/W2114407479","https://openalex.org/W2121947440","https://openalex.org/W2125186487","https://openalex.org/W2157364932","https://openalex.org/W2162253476","https://openalex.org/W2163605009","https://openalex.org/W2403161956","https://openalex.org/W2533800772","https://openalex.org/W2769502140","https://openalex.org/W2963073614","https://openalex.org/W2963934397","https://openalex.org/W3099206234","https://openalex.org/W4251147723","https://openalex.org/W4299325367","https://openalex.org/W6609768401","https://openalex.org/W6631190155","https://openalex.org/W6637573526","https://openalex.org/W6639824700","https://openalex.org/W6684191040"],"related_works":["https://openalex.org/W2165772202","https://openalex.org/W2166724105","https://openalex.org/W2612164513","https://openalex.org/W2154859065","https://openalex.org/W1983661653","https://openalex.org/W2093957690","https://openalex.org/W1980033651","https://openalex.org/W4230530180","https://openalex.org/W2388733570","https://openalex.org/W2153116791"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"an":[3,20],"texture":[4,10,79,82,97,107],"segmentation":[5,11,56,98],"algorithm.":[6],"In":[7],"the":[8,13,27,33,39,49,54,69,72,78,86,90,95,105],"proposed":[9,73,96],"algorithm,":[12],"feature":[14],"vectors":[15],"at":[16],"each":[17],"pixel":[18],"of":[19,48,89,94],"input":[21,47],"image":[22],"are":[23,44,66],"extracted":[24],"by":[25,103,112],"using":[26,104],"deep":[28,34],"neural":[29],"networks":[30],"such":[31,57],"as":[32,46,58],"convolutional":[35],"network":[36,61],"(CNN)":[37],"or":[38,63],"Siamese":[40],"Network.":[41],"Then":[42],"they":[43],"used":[45],"hierarchical":[50],"region":[51],"merging.":[52],"Unlike":[53],"semantic":[55],"fully":[59],"connected":[60],"(FCN)":[62],"U-Net":[64],"which":[65],"based":[67],"on":[68],"supervised":[70],"learning,":[71],"algorithm":[74,99],"can":[75],"correctly":[76],"segment":[77],"regions":[80],"whose":[81],"is":[83,100],"taken":[84,109],"from":[85,110],"other":[87],"types":[88],"texture.":[91],"The":[92],"effectiveness":[93],"experimentally":[101],"confirmed":[102],"famous":[106],"images":[108],"book":[111],"P.":[113],"Brodatz.":[114]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
