{"id":"https://openalex.org/W2739017175","doi":"https://doi.org/10.23919/mva.2017.7986871","title":"Fast low-level multi-scale feature extraction for hexagonal images","display_name":"Fast low-level multi-scale feature extraction for hexagonal images","publication_year":2017,"publication_date":"2017-05-01","ids":{"openalex":"https://openalex.org/W2739017175","doi":"https://doi.org/10.23919/mva.2017.7986871","mag":"2739017175"},"language":"en","primary_location":{"id":"doi:10.23919/mva.2017.7986871","is_oa":false,"landing_page_url":"https://doi.org/10.23919/mva.2017.7986871","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Fifteenth IAPR International Conference on Machine Vision Applications (MVA)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://pure.ulster.ac.uk/en/publications/195d3835-5a08-423f-bdb5-ae4bec3b898b","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070227862","display_name":"Sonya Coleman","orcid":"https://orcid.org/0000-0002-4676-7640"},"institutions":[{"id":"https://openalex.org/I138801177","display_name":"University of Ulster","ror":"https://ror.org/01yp9g959","country_code":"GB","type":"education","lineage":["https://openalex.org/I138801177"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"S. A. Coleman","raw_affiliation_strings":["Ulster University, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Ulster University, United Kingdom","institution_ids":["https://openalex.org/I138801177"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025293749","display_name":"Bryan Scotney","orcid":"https://orcid.org/0000-0002-8243-2223"},"institutions":[{"id":"https://openalex.org/I138801177","display_name":"University of Ulster","ror":"https://ror.org/01yp9g959","country_code":"GB","type":"education","lineage":["https://openalex.org/I138801177"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"B. W. Scotney","raw_affiliation_strings":["Ulster University, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Ulster University, United Kingdom","institution_ids":["https://openalex.org/I138801177"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037400839","display_name":"Bryan Gardiner","orcid":"https://orcid.org/0000-0001-5642-6850"},"institutions":[{"id":"https://openalex.org/I138801177","display_name":"University of Ulster","ror":"https://ror.org/01yp9g959","country_code":"GB","type":"education","lineage":["https://openalex.org/I138801177"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"B. Gardiner","raw_affiliation_strings":["Ulster University, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Ulster University, United Kingdom","institution_ids":["https://openalex.org/I138801177"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5070227862"],"corresponding_institution_ids":["https://openalex.org/I138801177"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0938909,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"342","last_page":"345"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12923","display_name":"Digital Image Processing Techniques","score":1.0,"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/T12923","display_name":"Digital Image Processing Techniques","score":1.0,"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":0.9983999729156494,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.982699990272522,"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/feature-extraction","display_name":"Feature extraction","score":0.6393847465515137},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.590221107006073},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5310521721839905},{"id":"https://openalex.org/keywords/hexagonal-crystal-system","display_name":"Hexagonal crystal system","score":0.5084392428398132},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.5015156269073486},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4105760455131531},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.3992643654346466},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39690202474594116},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.33449816703796387},{"id":"https://openalex.org/keywords/crystallography","display_name":"Crystallography","score":0.11950862407684326},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.09433558583259583},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09150758385658264},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.08801591396331787},{"id":"https://openalex.org/keywords/chromatography","display_name":"Chromatography","score":0.06603571772575378}],"concepts":[{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6393847465515137},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.590221107006073},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5310521721839905},{"id":"https://openalex.org/C128765274","wikidata":"https://www.wikidata.org/wiki/Q663314","display_name":"Hexagonal crystal system","level":2,"score":0.5084392428398132},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.5015156269073486},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4105760455131531},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.3992643654346466},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39690202474594116},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33449816703796387},{"id":"https://openalex.org/C8010536","wikidata":"https://www.wikidata.org/wiki/Q160398","display_name":"Crystallography","level":1,"score":0.11950862407684326},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.09433558583259583},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09150758385658264},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.08801591396331787},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.06603571772575378}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.23919/mva.2017.7986871","is_oa":false,"landing_page_url":"https://doi.org/10.23919/mva.2017.7986871","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Fifteenth IAPR International Conference on Machine Vision Applications (MVA)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:publications/195d3835-5a08-423f-bdb5-ae4bec3b898b","is_oa":true,"landing_page_url":"https://pure.ulster.ac.uk/en/publications/195d3835-5a08-423f-bdb5-ae4bec3b898b","pdf_url":null,"source":{"id":"https://openalex.org/S4306402454","display_name":"Ulster University Research Portal (Ulster University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I138801177","host_organization_name":"University of Ulster","host_organization_lineage":["https://openalex.org/I138801177"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Coleman, SA, Bryan, S & Gardiner, B 2017, Fast low-level multi-scale feature extraction for hexagonal images. in Unknown Host Publication. IEEE, pp. 342-345, 2017 Fifteenth IAPR International Conference on Machine Vision Applications (MVA), 20/07/17. < http://uir.ulster.ac.uk/38904/1/Acceptance%20Email.pdf >","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"pmh:oai:pure.atira.dk:publications/195d3835-5a08-423f-bdb5-ae4bec3b898b","is_oa":true,"landing_page_url":"https://pure.ulster.ac.uk/en/publications/195d3835-5a08-423f-bdb5-ae4bec3b898b","pdf_url":null,"source":{"id":"https://openalex.org/S4306402454","display_name":"Ulster University Research Portal (Ulster University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I138801177","host_organization_name":"University of Ulster","host_organization_lineage":["https://openalex.org/I138801177"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Coleman, SA, Bryan, S & Gardiner, B 2017, Fast low-level multi-scale feature extraction for hexagonal images. in Unknown Host Publication. IEEE, pp. 342-345, 2017 Fifteenth IAPR International Conference on Machine Vision Applications (MVA), 20/07/17. < http://uir.ulster.ac.uk/38904/1/Acceptance%20Email.pdf >","raw_type":"info:eu-repo/semantics/publishedVersion"},"sustainable_development_goals":[{"score":0.8299999833106995,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W85375681","https://openalex.org/W110302466","https://openalex.org/W1525481877","https://openalex.org/W1971745963","https://openalex.org/W1986012436","https://openalex.org/W2087344433","https://openalex.org/W2129380872","https://openalex.org/W2165901871","https://openalex.org/W2295796808","https://openalex.org/W2331352041","https://openalex.org/W2513429951","https://openalex.org/W2538328933","https://openalex.org/W2617688001","https://openalex.org/W6631405849","https://openalex.org/W6738204443"],"related_works":["https://openalex.org/W2601157893","https://openalex.org/W2373006798","https://openalex.org/W2131735617","https://openalex.org/W2056912418","https://openalex.org/W2123759770","https://openalex.org/W2033213769","https://openalex.org/W4312376745","https://openalex.org/W2136016640","https://openalex.org/W2043960970","https://openalex.org/W2049538278"],"abstract_inverted_index":{"Inspired":[0],"by":[1,29],"the":[2,31,41,52,94,106],"human":[3],"vision":[4],"system":[5],"and":[6,51],"its":[7],"capability":[8],"to":[9,36,85,114],"process":[10],"in":[11],"real-time,":[12],"an":[13],"efficient":[14],"framework":[15,81,96],"for":[16,111],"low-level":[17],"feature":[18,86],"extraction":[19,87],"on":[20],"hexagonal":[21,115],"pixel-based":[22],"images":[23],"is":[24,27,67,76,97],"presented.":[25],"This":[26],"achieved":[28],"utilizing":[30],"spiral":[32,49,103],"architecture":[33],"addressing":[34],"scheme":[35],"simulate":[37],"eye-tremor":[38],"along":[39],"with":[40],"convolution":[42,50,104],"of":[43,54,61,108],"non-overlapping":[44],"gradient":[45],"masks.":[46],"Using":[47],"sparse":[48],"development":[53],"cluster":[55],"operators,":[56],"we":[57],"obtain":[58],"a":[59,71],"set":[60],"output":[62,73],"image":[63],"responses":[64],"\u201ca-trous\u201d":[65],"that":[66,79,93],"subsequently":[68],"collated":[69],"into":[70],"consolidated":[72],"response;":[74],"it":[75],"also":[77],"demonstrated":[78],"this":[80],"can":[82],"be":[83],"extended":[84],"at":[88],"different":[89],"scales.":[90],"We":[91],"show":[92],"proposed":[95],"considerably":[98],"faster":[99],"than":[100],"using":[101],"conventional":[102],"or":[105],"use":[107],"look-up":[109],"tables":[110],"direct":[112],"access":[113],"pixel":[116],"neighbourhood":[117],"addresses.":[118]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
