{"id":"https://openalex.org/W2135901230","doi":"https://doi.org/10.1109/fskd.2013.6816197","title":"A fuzzy approach to texture suppression by combining edge length analysis with surround suppression","display_name":"A fuzzy approach to texture suppression by combining edge length analysis with surround suppression","publication_year":2013,"publication_date":"2013-07-01","ids":{"openalex":"https://openalex.org/W2135901230","doi":"https://doi.org/10.1109/fskd.2013.6816197","mag":"2135901230"},"language":"en","primary_location":{"id":"doi:10.1109/fskd.2013.6816197","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2013.6816197","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 10th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","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/A5005571749","display_name":"Shaobin Chen","orcid":"https://orcid.org/0000-0002-2306-1856"},"institutions":[{"id":"https://openalex.org/I74525822","display_name":"Hubei University of Technology","ror":"https://ror.org/02d3fj342","country_code":"CN","type":"education","lineage":["https://openalex.org/I74525822"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shaobin Chen","raw_affiliation_strings":["Computer School, HuBei University of Technology, Wuhan, China","[Comput. Sch., Hubei Univ. of Technol., Wuhan, China]"],"affiliations":[{"raw_affiliation_string":"Computer School, HuBei University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I74525822"]},{"raw_affiliation_string":"[Comput. Sch., Hubei Univ. of Technol., Wuhan, China]","institution_ids":["https://openalex.org/I74525822"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100551966","display_name":"Caiquan Xiong","orcid":null},"institutions":[{"id":"https://openalex.org/I74525822","display_name":"Hubei University of Technology","ror":"https://ror.org/02d3fj342","country_code":"CN","type":"education","lineage":["https://openalex.org/I74525822"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Caiquan Xiong","raw_affiliation_strings":["Computer School, HuBei University of Technology, Wuhan, China","[Comput. Sch., Hubei Univ. of Technol., Wuhan, China]"],"affiliations":[{"raw_affiliation_string":"Computer School, HuBei University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I74525822"]},{"raw_affiliation_string":"[Comput. Sch., Hubei Univ. of Technol., Wuhan, China]","institution_ids":["https://openalex.org/I74525822"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080063231","display_name":"Cailin Li","orcid":"https://orcid.org/0000-0001-6275-9475"},"institutions":[{"id":"https://openalex.org/I74525822","display_name":"Hubei University of Technology","ror":"https://ror.org/02d3fj342","country_code":"CN","type":"education","lineage":["https://openalex.org/I74525822"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cailin Li","raw_affiliation_strings":["Computer School, HuBei University of Technology, Wuhan, China","[Comput. Sch., Hubei Univ. of Technol., Wuhan, China]"],"affiliations":[{"raw_affiliation_string":"Computer School, HuBei University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I74525822"]},{"raw_affiliation_string":"[Comput. Sch., Hubei Univ. of Technol., Wuhan, China]","institution_ids":["https://openalex.org/I74525822"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5005571749"],"corresponding_institution_ids":["https://openalex.org/I74525822"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.22011816,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"86","issue":null,"first_page":"224","last_page":"228"},"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":0.9958000183105469,"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":0.9958000183105469,"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/T11666","display_name":"Color Science and Applications","score":0.994700014591217,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9937000274658203,"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":0.7401165962219238},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.72914719581604},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.693433403968811},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6411907076835632},{"id":"https://openalex.org/keywords/texture-filtering","display_name":"Texture filtering","score":0.5640093684196472},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5460259914398193},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5456295013427734},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.5239481925964355},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5136660933494568},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.455204039812088},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3359243869781494},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2538597583770752},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.20223462581634521},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.1891760528087616}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7401165962219238},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.72914719581604},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.693433403968811},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6411907076835632},{"id":"https://openalex.org/C144743038","wikidata":"https://www.wikidata.org/wiki/Q3267765","display_name":"Texture filtering","level":5,"score":0.5640093684196472},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5460259914398193},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5456295013427734},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.5239481925964355},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5136660933494568},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.455204039812088},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3359243869781494},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2538597583770752},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.20223462581634521},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.1891760528087616}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fskd.2013.6816197","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2013.6816197","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 10th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7300000190734863,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1912382666","https://openalex.org/W2104491490","https://openalex.org/W2109854212","https://openalex.org/W2142440858","https://openalex.org/W2169962589","https://openalex.org/W6685192430"],"related_works":["https://openalex.org/W2612164513","https://openalex.org/W2165772202","https://openalex.org/W1975273303","https://openalex.org/W2154859065","https://openalex.org/W1980033651","https://openalex.org/W4230530180","https://openalex.org/W2044270176","https://openalex.org/W2388733570","https://openalex.org/W2374828682","https://openalex.org/W2153116791"],"abstract_inverted_index":{"In":[0,46],"object":[1],"recognition,":[2],"texture":[3,10,44,58],"suppression":[4,84],"is":[5,35,51,74],"often":[6],"required":[7],"to":[8,29,56],"suppress":[9],"edges":[11,17,24,81],"while":[12],"retaining":[13],"contour":[14,23,61],"edges.":[15],"Texture":[16],"are":[18,25],"usually":[19],"mutually":[20],"close":[21],"and":[22,82],"relatively":[26],"isolated.":[27],"According":[28],"this":[30,47],"characteristic,":[31],"surround":[32,68,102],"suppression,":[33,69],"which":[34,76,99],"a":[36,70],"mechanism":[37],"of":[38],"human":[39],"visual":[40],"cells,":[41],"can":[42,92],"achieve":[43],"suppression.":[45,103],"paper,":[48],"edge":[49,59,64],"length":[50,65],"considered":[52],"as":[53],"another":[54],"characteristic":[55],"discriminate":[57],"from":[60],"edge.":[62],"Combining":[63],"analysis":[66],"with":[67],"novel":[71],"fuzzy":[72],"approach":[73,91,98],"proposed":[75,90],"defines":[77],"membership":[78],"function":[79],"for":[80],"computes":[83],"intensity":[85],"accordingly.":[86],"Experiments":[87],"demonstrate":[88],"the":[89,97],"acquire":[93],"better":[94],"results":[95],"than":[96],"only":[100],"uses":[101]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
