{"id":"https://openalex.org/W1592565415","doi":null,"title":"Texture Measures for Segmentation","display_name":"Texture Measures for Segmentation","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W1592565415","mag":"1592565415"},"language":"en","primary_location":{"id":"pmh:oai:localhost:11427/7461","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/11427/7461","pdf_url":"http://hdl.handle.net/11427/7461","source":{"id":"https://openalex.org/S4306402129","display_name":"Open University of Cape Town (University of Cape Town)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I157614274","host_organization_name":"University of Cape Town","host_organization_lineage":["https://openalex.org/I157614274"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Master Thesis"},"volume":null,"type":"dissertation","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/11427/7461","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5051194709","display_name":"Stephen Haddad","orcid":"https://orcid.org/0000-0003-3430-2456","observed_orcids":["https://orcid.org/0000-0003-3430-2456"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Stephen Haddad","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0003-3430-2456","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5051194709"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.926800012588501,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.926800012588501,"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":0.0568000003695488,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.002099999925121665,"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/texture-segmentation","display_name":"texture segmentation","score":0.9890000224113464},{"id":"https://openalex.org/keywords/texture-features","display_name":"texture features","score":0.9959999918937683}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8222644329071045},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6660031080245972},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6384650468826294},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.620675265789032},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6095888614654541},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.5748558640480042},{"id":"https://openalex.org/C206824153","wikidata":"https://www.wikidata.org/wiki/Q1169834","display_name":"Region growing","level":5,"score":0.566722571849823},{"id":"https://openalex.org/C144743038","wikidata":"https://www.wikidata.org/wiki/Q3267765","display_name":"Texture filtering","level":5,"score":0.5394296646118164},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.5129756331443787},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5125836730003357},{"id":"https://openalex.org/C78201319","wikidata":"https://www.wikidata.org/wiki/Q685727","display_name":"Grayscale","level":3,"score":0.49015673995018005},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4681691527366638},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.4514167308807373},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4349649250507355},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.19464319944381714}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:localhost:11427/7461","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/11427/7461","pdf_url":"http://hdl.handle.net/11427/7461","source":{"id":"https://openalex.org/S4306402129","display_name":"Open University of Cape Town (University of Cape Town)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I157614274","host_organization_name":"University of Cape Town","host_organization_lineage":["https://openalex.org/I157614274"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Master Thesis"},{"id":"mag:1592565415","doi":null,"is_oa":false,"landing_page_url":"http://www.dip.ee.uct.ac.za/publications/theses/MScStephen.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:localhost:11427/7461","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/11427/7461","pdf_url":"http://hdl.handle.net/11427/7461","source":{"id":"https://openalex.org/S4306402129","display_name":"Open University of Cape Town (University of Cape Town)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I157614274","host_organization_name":"University of Cape Town","host_organization_lineage":["https://openalex.org/I157614274"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Master Thesis"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1592565415.pdf","grobid_xml":"https://content.openalex.org/works/W1592565415.grobid-xml"},"referenced_works_count":38,"referenced_works":["https://openalex.org/W79315950","https://openalex.org/W1484228140","https://openalex.org/W1498238238","https://openalex.org/W1508960934","https://openalex.org/W1544324307","https://openalex.org/W1554663460","https://openalex.org/W1933657216","https://openalex.org/W1974200853","https://openalex.org/W2028652181","https://openalex.org/W2032533296","https://openalex.org/W2057175746","https://openalex.org/W2069702698","https://openalex.org/W2098152234","https://openalex.org/W2098347925","https://openalex.org/W2104094303","https://openalex.org/W2108082645","https://openalex.org/W2108485624","https://openalex.org/W2109200236","https://openalex.org/W2111560940","https://openalex.org/W2113137767","https://openalex.org/W2115718371","https://openalex.org/W2119823327","https://openalex.org/W2121927366","https://openalex.org/W2129976136","https://openalex.org/W2130894774","https://openalex.org/W2135705692","https://openalex.org/W2136166787","https://openalex.org/W2141376824","https://openalex.org/W2143516773","https://openalex.org/W2143668817","https://openalex.org/W2145072179","https://openalex.org/W2151103935","https://openalex.org/W2152942156","https://openalex.org/W2160063258","https://openalex.org/W2163352848","https://openalex.org/W2169551590","https://openalex.org/W2177274842","https://openalex.org/W3189540479"],"related_works":["https://openalex.org/W7096740316","https://openalex.org/W2407941045","https://openalex.org/W7095782555","https://openalex.org/W1914417315","https://openalex.org/W2064169113","https://openalex.org/W2105550996","https://openalex.org/W2111264104","https://openalex.org/W2189267070","https://openalex.org/W2401949243","https://openalex.org/W2409982377"],"abstract_inverted_index":{"Texture":[0],"is":[1,19,232,246],"an":[2,63,81],"important":[3],"visual":[4],"cue":[5],"in":[6,21,43,131,142],"both":[7],"human":[8],"and":[9,33,57,119,147,238],"computer":[10],"vision.":[11],"Segmenting":[12],"images":[13,182,196],"into":[14,65],"regions":[15,141],"of":[16,30,40,48,69,73,89,158,179,197,204,258],"constant":[17],"texture":[18,31,44,49,170,181,215],"used":[20,166],"many":[22],"applications.":[23],"This":[24],"work":[25],"surveys":[26],"a":[27,107],"wide":[28],"range":[29],"descriptors":[32,50,94,105,206,216],"segmentation":[34,121,126,134,159,171,231],"methods":[35,56,122,127,135,150],"to":[36,113,167],"determine":[37],"the":[38,41,74,87,143,156,169,184,205,213,256,259],"state":[39],"art":[42],"segmentation.":[45,144],"Two":[46,162],"types":[47],"are":[51,80,123,151,160,165,177,212,224,261],"investigated:":[52],"filter":[53,101,208],"bank":[54,209],"based":[55,210],"local":[58,104,111,118],"descriptors.":[59],"Filter":[60],"banks":[61],"deconstruct":[62],"image":[64,75,221],"several":[66],"bands,":[67],"each":[68,129],"which":[70,85],"emphasises":[71],"areas":[72],"with":[76,241,251],"different":[77],"properties.":[78],"Textons":[79],"adaptive":[82],"histogram":[83],"method":[84],"describes":[86],"distribution":[88],"typical":[90],"feature":[91],"vectors.":[92],"Local":[93,125,220],"calculate":[95,106],"features":[96],"from":[97,183],"smaller":[98],"neighbourhoods":[99],"than":[100],"banks.":[102],"Some":[103],"scale":[108,115],"for":[109,154,217,226,234,248],"their":[110],"neighbourhood":[112],"achieve":[114],"invariance.":[116],"Both":[117],"global":[120],"investigated.":[124,152,262],"consider":[128],"pixel":[130,235],"isolation.":[132],"Global":[133],"penalise":[136],"jagged":[137],"borders":[138],"or":[139],"fragmented":[140],"Pixel":[145],"labelling":[146,236],"border":[148],"detection":[149,240,250],"Methods":[153],"measuring":[155],"accuracy":[157],"discussed.":[161],"data":[163,191],"sets":[164],"test":[168],"algorithms.":[172],"The":[173,187,200],"Brodatz":[174,185],"Album":[175],"mosaics":[176],"composed":[178],"grayscale":[180,218],"Album.":[186],"Berkeley":[188],"Natural":[189],"Images":[190],"set":[192],"has":[193],"300":[194],"colour":[195,227],"natural":[198],"scenes.":[199],"tests":[201],"show":[202],"that,":[203],"tested,":[207],"textons":[211,223],"best":[214,225,233,247],"images.":[219,228],"patch":[222],"Graph":[229],"cut":[230],"problems":[237],"edge":[239,249],"regular":[242],"borders.":[243,253],"Non-maxima":[244],"suppression":[245],"irregular":[252],"Factors":[254],"affecting":[255],"performance":[257],"algorithms":[260]},"counts_by_year":[],"updated_date":"2026-08-30T07:30:35.949966","created_date":"2016-06-24T00:00:00"}
