{"id":"https://openalex.org/W2086848903","doi":"https://doi.org/10.1109/i2mtc.2014.6860891","title":"Texture analysis using income inequality metrics","display_name":"Texture analysis using income inequality metrics","publication_year":2014,"publication_date":"2014-05-01","ids":{"openalex":"https://openalex.org/W2086848903","doi":"https://doi.org/10.1109/i2mtc.2014.6860891","mag":"2086848903"},"language":"en","primary_location":{"id":"doi:10.1109/i2mtc.2014.6860891","is_oa":false,"landing_page_url":"https://doi.org/10.1109/i2mtc.2014.6860891","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings","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/A5101625365","display_name":"Gabriel Thomas","orcid":"https://orcid.org/0000-0001-7134-4343"},"institutions":[{"id":"https://openalex.org/I46247651","display_name":"University of Manitoba","ror":"https://ror.org/02gfys938","country_code":"CA","type":"education","lineage":["https://openalex.org/I46247651"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Gabriel Thomas","raw_affiliation_strings":["University of Manitoba College of Medicine, Winnipeg, MB, CA","Electr. & Comput. Eng. Dept., Univ. of Manitoba, Winnipeg, MB, Canada"],"affiliations":[{"raw_affiliation_string":"University of Manitoba College of Medicine, Winnipeg, MB, CA","institution_ids":["https://openalex.org/I46247651"]},{"raw_affiliation_string":"Electr. & Comput. Eng. Dept., Univ. of Manitoba, Winnipeg, MB, Canada","institution_ids":["https://openalex.org/I46247651"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062549895","display_name":"Annamalai Manickavasagan","orcid":"https://orcid.org/0000-0003-2562-9772"},"institutions":[{"id":"https://openalex.org/I47818738","display_name":"Sultan Qaboos University","ror":"https://ror.org/04wq8zb47","country_code":"OM","type":"education","lineage":["https://openalex.org/I47818738"]}],"countries":["OM"],"is_corresponding":false,"raw_author_name":"Manickavasagan Annamalai","raw_affiliation_strings":["Sultan Qaboos University, Muscat, OM","Dept. of Soils, Water & Agric. Eng., Sultan Qaboos Univ., Muscat, Oman"],"affiliations":[{"raw_affiliation_string":"Sultan Qaboos University, Muscat, OM","institution_ids":["https://openalex.org/I47818738"]},{"raw_affiliation_string":"Dept. of Soils, Water & Agric. Eng., Sultan Qaboos Univ., Muscat, Oman","institution_ids":["https://openalex.org/I47818738"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101625365"],"corresponding_institution_ids":["https://openalex.org/I46247651"],"apc_list":null,"apc_paid":null,"fwci":0.2439,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.60634648,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"988","last_page":"992"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.998199999332428,"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":0.998199999332428,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9613000154495239,"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":0.9412999749183655,"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/metric","display_name":"Metric (unit)","score":0.6494585275650024},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6367149353027344},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5691313147544861},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.5296245217323303},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.49059000611305237},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.4873107671737671},{"id":"https://openalex.org/keywords/digital-image","display_name":"Digital image","score":0.46278172731399536},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.46189773082733154},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4526812434196472},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4430096745491028},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43376386165618896},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4334598481655121},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.41122496128082275},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37132251262664795},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.32955417037010193},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.29871946573257446},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2982966899871826},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.09611690044403076}],"concepts":[{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6494585275650024},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6367149353027344},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5691313147544861},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.5296245217323303},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.49059000611305237},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.4873107671737671},{"id":"https://openalex.org/C42781572","wikidata":"https://www.wikidata.org/wiki/Q1250322","display_name":"Digital image","level":4,"score":0.46278172731399536},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.46189773082733154},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4526812434196472},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4430096745491028},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43376386165618896},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4334598481655121},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.41122496128082275},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37132251262664795},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.32955417037010193},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.29871946573257446},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2982966899871826},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.09611690044403076},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/i2mtc.2014.6860891","is_oa":false,"landing_page_url":"https://doi.org/10.1109/i2mtc.2014.6860891","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/1","display_name":"No poverty","score":0.7900000214576721}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1966106079","https://openalex.org/W1975503357","https://openalex.org/W1987241568","https://openalex.org/W2044465660","https://openalex.org/W2087586301","https://openalex.org/W2125148312","https://openalex.org/W2134915917","https://openalex.org/W2326943757","https://openalex.org/W4212883601"],"related_works":["https://openalex.org/W2044270176","https://openalex.org/W2374828682","https://openalex.org/W2153116791","https://openalex.org/W2388733570","https://openalex.org/W4230530180","https://openalex.org/W1980033651","https://openalex.org/W3036827782","https://openalex.org/W1504972346","https://openalex.org/W2951194758","https://openalex.org/W2356087891"],"abstract_inverted_index":{"Texture":[0],"analysis":[1,157],"on":[2,29,155],"digital":[3,26,159],"images":[4],"can":[5,33,52,152],"be":[6,53,77,103,153],"used":[7,129,154],"to":[8,41,66,76,121,135],"correctly":[9],"segment":[10],"areas":[11],"of":[12,22,24,70,125,133,139,158],"an":[13],"image":[14],"and/or":[15],"classify":[16],"different":[17],"objects":[18],"within":[19,144],"the":[20,30,116,123,131,137],"field":[21,132],"view":[23],"a":[25,35,45,54,68,145],"camera.":[27],"Depending":[28],"application,":[31],"one":[32],"use":[34,124],"Gray":[36],"Level":[37],"Co-occurrence":[38],"Matrix":[39],"(GLCM)":[40],"detect":[42],"patterns":[43],"or":[44],"simple":[46,74],"contrast":[47],"measure":[48,136],"such":[49,99],"as":[50,57,100,108],"variance":[51,101],"good":[55],"metric":[56],"well.":[58],"In":[59],"this":[60],"work,":[61],"our":[62,88],"main":[63],"objective":[64],"is":[65,84],"define":[67],"set":[69],"new":[71],"texture":[72,91,156],"metrics":[73,98,128,151],"enough":[75],"computationally":[78],"efficient":[79],"so":[80],"that":[81,149],"fast":[82],"processing":[83],"feasible.":[85],"Thus":[86],"in":[87,130],"previous":[89],"two":[90],"techniques":[92],"mentioned":[93],"before,":[94],"GLCM":[95],"and":[96,141],"variance,":[97],"would":[102,119],"selected":[104],"for":[105],"comparison":[106],"purposes":[107],"they":[109],"require":[110],"less":[111],"computational":[112],"time.":[113],"Thinking":[114],"outside":[115],"box,":[117],"we":[118],"like":[120],"introduce":[122],"income":[126,140],"inequality":[127,143],"economy":[134],"distribution":[138],"wealth":[142],"population.":[146],"We":[147],"found":[148],"these":[150],"images.":[160]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}