{"id":"https://openalex.org/W2151412227","doi":"https://doi.org/10.1109/icsmc.2007.4414139","title":"Effect of figural perception on contrast detection threshold of colinear gabor patches","display_name":"Effect of figural perception on contrast detection threshold of colinear gabor patches","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W2151412227","doi":"https://doi.org/10.1109/icsmc.2007.4414139","mag":"2151412227"},"language":"en","primary_location":{"id":"doi:10.1109/icsmc.2007.4414139","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2007.4414139","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE International Conference on Systems, Man and Cybernetics","raw_type":"proceedings-article"},"type":"conference-paper","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/A5075935845","display_name":"Masayuki Kikuchi","orcid":"https://orcid.org/0000-0001-7096-4188"},"institutions":[{"id":"https://openalex.org/I148798404","display_name":"Tokyo University of Technology","ror":"https://ror.org/021a26605","country_code":"JP","type":"education","lineage":["https://openalex.org/I148798404"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masayuki Kikuchi","raw_affiliation_strings":["School of Computer Science, Tokyo University of Technology, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Tokyo University of Technology, Tokyo, Japan","institution_ids":["https://openalex.org/I148798404"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112086257","display_name":"Kazuaki Masuda","orcid":null},"institutions":[{"id":"https://openalex.org/I148798404","display_name":"Tokyo University of Technology","ror":"https://ror.org/021a26605","country_code":"JP","type":"education","lineage":["https://openalex.org/I148798404"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kazuaki Masuda","raw_affiliation_strings":["School of Computer Science, Tokyo University of Technology, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Tokyo University of Technology, Tokyo, Japan","institution_ids":["https://openalex.org/I148798404"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I148798404"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.23583769,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"4","issue":null,"first_page":"1890","last_page":"1894"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10427","display_name":"Visual perception and processing mechanisms","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10427","display_name":"Visual perception and processing mechanisms","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11666","display_name":"Color Science and Applications","score":0.9966999888420105,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9807000160217285,"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/contrast","display_name":"Contrast (vision)","score":0.8551394939422607},{"id":"https://openalex.org/keywords/detection-threshold","display_name":"Detection threshold","score":0.646023690700531},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.552288830280304},{"id":"https://openalex.org/keywords/gabor-transform","display_name":"Gabor transform","score":0.4519689381122589},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43432140350341797},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40720334649086},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.36831963062286377},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.34265875816345215},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.2791079878807068},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.27640146017074585},{"id":"https://openalex.org/keywords/time\u2013frequency-analysis","display_name":"Time\u2013frequency analysis","score":0.1002991795539856},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.051047682762145996}],"concepts":[{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.8551394939422607},{"id":"https://openalex.org/C3019361169","wikidata":"https://www.wikidata.org/wiki/Q2609467","display_name":"Detection threshold","level":2,"score":0.646023690700531},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.552288830280304},{"id":"https://openalex.org/C173149727","wikidata":"https://www.wikidata.org/wiki/Q996397","display_name":"Gabor transform","level":4,"score":0.4519689381122589},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43432140350341797},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40720334649086},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36831963062286377},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.34265875816345215},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.2791079878807068},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.27640146017074585},{"id":"https://openalex.org/C142433447","wikidata":"https://www.wikidata.org/wiki/Q7806653","display_name":"Time\u2013frequency analysis","level":3,"score":0.1002991795539856},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.051047682762145996},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsmc.2007.4414139","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2007.4414139","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 IEEE International Conference on Systems, Man and Cybernetics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1601034071","https://openalex.org/W1601968409","https://openalex.org/W1988773134","https://openalex.org/W2029346512","https://openalex.org/W2033361489","https://openalex.org/W2075724496","https://openalex.org/W2086894732","https://openalex.org/W2128247205","https://openalex.org/W2149316826","https://openalex.org/W6636071391"],"related_works":["https://openalex.org/W2069592018","https://openalex.org/W2075740387","https://openalex.org/W2384007269","https://openalex.org/W2347848979","https://openalex.org/W2121565431","https://openalex.org/W1997448253","https://openalex.org/W2426678962","https://openalex.org/W2059721476","https://openalex.org/W3132402522","https://openalex.org/W2004661280"],"abstract_inverted_index":{"It":[0],"is":[1,11],"known":[2],"that":[3,59],"the":[4,44,51,57],"contrast":[5,52,69],"detection":[6,53,70],"threshold":[7,71],"of":[8],"a":[9,38,61],"Gabor-patch":[10],"influenced":[12],"by":[13],"flanking":[14],"colinear":[15],"mask":[16,35],"Gabor":[17,46],"patches":[18],"(Polat":[19],"&":[20],"Sagi,":[21],"1993,":[22],"1994).":[23],"This":[24],"study":[25],"investigated":[26],"whether":[27],"this":[28],"phenomenon":[29],"can":[30],"also":[31],"be":[32,49],"observable":[33],"when":[34],"Gabor-patches":[36],"constitute":[37],"figure":[39],"which":[40],"does":[41],"not":[42],"contain":[43],"target":[45],"patch":[47,63],"to":[48],"measured":[50],"threshold.":[54],"We":[55],"obtained":[56],"results":[58],"such":[60],"figural":[62],"arrangement":[64],"has":[65],"little":[66],"effect":[67],"on":[68],"in":[72],"our":[73],"framework.":[74]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
