{"id":"https://openalex.org/W1496439398","doi":"https://doi.org/10.1109/icarcv.2002.1234802","title":"The co-occurrence matrix in square and hexagonal lattices","display_name":"The co-occurrence matrix in square and hexagonal lattices","publication_year":2004,"publication_date":"2004-04-23","ids":{"openalex":"https://openalex.org/W1496439398","doi":"https://doi.org/10.1109/icarcv.2002.1234802","mag":"1496439398"},"language":"en","primary_location":{"id":"doi:10.1109/icarcv.2002.1234802","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarcv.2002.1234802","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"7th International Conference on Control, Automation, Robotics and Vision, 2002. ICARCV 2002.","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/A5072823158","display_name":"Lee Middleton","orcid":"https://orcid.org/0000-0003-4621-1922"},"institutions":[{"id":"https://openalex.org/I154130895","display_name":"University of Auckland","ror":"https://ror.org/03b94tp07","country_code":"NZ","type":"education","lineage":["https://openalex.org/I154130895"]}],"countries":["NZ"],"is_corresponding":true,"raw_author_name":"L. Middleton","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, University of Auckland, Auckland, New Zealand","[Dept. of Electr. & Electron. Eng., Auckland Univ., New Zealand]"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, University of Auckland, Auckland, New Zealand","institution_ids":["https://openalex.org/I154130895"]},{"raw_affiliation_string":"[Dept. of Electr. & Electron. Eng., Auckland Univ., New Zealand]","institution_ids":["https://openalex.org/I154130895"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5072823158"],"corresponding_institution_ids":["https://openalex.org/I154130895"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.05140903,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"1","issue":null,"first_page":"90","last_page":"95"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12923","display_name":"Digital Image Processing Techniques","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9940000176429749,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9919999837875366,"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/hexagonal-crystal-system","display_name":"Hexagonal crystal system","score":0.8541587591171265},{"id":"https://openalex.org/keywords/square","display_name":"Square (algebra)","score":0.6842279434204102},{"id":"https://openalex.org/keywords/square-matrix","display_name":"Square matrix","score":0.6619470119476318},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.6048833727836609},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.5301231741905212},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5186768770217896},{"id":"https://openalex.org/keywords/triangular-matrix","display_name":"Triangular matrix","score":0.44866687059402466},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4337736964225769},{"id":"https://openalex.org/keywords/hexagonal-tiling","display_name":"Hexagonal tiling","score":0.43352025747299194},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.3588894009590149},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.34130460023880005},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.2900269627571106},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2566489279270172},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.19766536355018616},{"id":"https://openalex.org/keywords/crystallography","display_name":"Crystallography","score":0.19579312205314636},{"id":"https://openalex.org/keywords/symmetric-matrix","display_name":"Symmetric matrix","score":0.18820101022720337},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.17509740591049194},{"id":"https://openalex.org/keywords/pure-mathematics","display_name":"Pure mathematics","score":0.16230547428131104},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.1554986834526062},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.0656442940235138}],"concepts":[{"id":"https://openalex.org/C128765274","wikidata":"https://www.wikidata.org/wiki/Q663314","display_name":"Hexagonal crystal system","level":2,"score":0.8541587591171265},{"id":"https://openalex.org/C135692309","wikidata":"https://www.wikidata.org/wiki/Q111124","display_name":"Square (algebra)","level":2,"score":0.6842279434204102},{"id":"https://openalex.org/C69044650","wikidata":"https://www.wikidata.org/wiki/Q2739329","display_name":"Square matrix","level":4,"score":0.6619470119476318},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.6048833727836609},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.5301231741905212},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5186768770217896},{"id":"https://openalex.org/C104528550","wikidata":"https://www.wikidata.org/wiki/Q506265","display_name":"Triangular matrix","level":3,"score":0.44866687059402466},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4337736964225769},{"id":"https://openalex.org/C35908053","wikidata":"https://www.wikidata.org/wiki/Q3063631","display_name":"Hexagonal tiling","level":3,"score":0.43352025747299194},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.3588894009590149},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.34130460023880005},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.2900269627571106},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2566489279270172},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.19766536355018616},{"id":"https://openalex.org/C8010536","wikidata":"https://www.wikidata.org/wiki/Q160398","display_name":"Crystallography","level":1,"score":0.19579312205314636},{"id":"https://openalex.org/C54848796","wikidata":"https://www.wikidata.org/wiki/Q339011","display_name":"Symmetric matrix","level":3,"score":0.18820101022720337},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.17509740591049194},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.16230547428131104},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.1554986834526062},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0656442940235138},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C96442724","wikidata":"https://www.wikidata.org/wiki/Q242188","display_name":"Invertible matrix","level":2,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icarcv.2002.1234802","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarcv.2002.1234802","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"7th International Conference on Control, Automation, Robotics and Vision, 2002. ICARCV 2002.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1507028917","https://openalex.org/W2044465660","https://openalex.org/W2052384348","https://openalex.org/W2064093505","https://openalex.org/W2065301447","https://openalex.org/W2067153519","https://openalex.org/W2121483015","https://openalex.org/W2124224160"],"related_works":["https://openalex.org/W4281897132","https://openalex.org/W2150084405","https://openalex.org/W3128949433","https://openalex.org/W2075605355","https://openalex.org/W2021874296","https://openalex.org/W2139458733","https://openalex.org/W1986012436","https://openalex.org/W1519459038","https://openalex.org/W2795713253","https://openalex.org/W2347961172"],"abstract_inverted_index":{"There":[0],"are":[1],"many":[2,32],"situations":[3],"where":[4,25,106],"processing":[5,19,36],"of":[6,20,115,144],"images":[7,21],"on":[8,40],"alternate":[9],"lattices":[10,24,42,81],"can":[11,29,37,50],"yield":[12],"positive":[13],"advantages.":[14,124],"One":[15,55],"such":[16,56],"case":[17,120],"is":[18,60,126,139],"upon":[22],"hexagonal":[23,41,80,94,119,147],"the":[26,61,71,76,93,100,107,118,129],"uniform":[27],"connectivity":[28],"lead":[30],"to":[31,99,132,140],"efficiencies.":[33],"However,":[34],"before":[35],"be":[38,45,51],"evaluated":[39],"it":[43],"must":[44],"ascertained":[46],"that":[47,92,128],"fundamental":[48],"operations":[49],"carried":[52],"out":[53],"effectively.":[54],"commonly":[57],"used":[58],"tool":[59],"co-occurrence":[62,77,95,148],"matrix,":[63],"which":[64],"examines":[65],"second":[66],"order":[67],"statistical":[68],"information":[69,135],"within":[70],"image.":[72],"This":[73],"work":[74],"derived":[75],"matrix":[78,96],"for":[79],"and":[82,146],"contrasted":[83],"its":[84],"performance":[85],"with":[86],"square":[87,101,145],"lattices.":[88],"The":[89],"results":[90],"found":[91],"performs":[97],"similarly":[98],"case.":[102],"Also,":[103],"in":[104,136],"cases":[105],"image":[108,138],"features":[109],"lie":[110],"strongly":[111],"oriented":[112],"at":[113],"angles":[114],"60/spl":[116],"deg/,":[117],"will":[121],"have":[122],"distinct":[123],"It":[125],"proposed":[127],"best":[130],"approach":[131],"analyse":[133],"textural":[134],"an":[137],"use":[141],"a":[142],"combination":[143],"matrices.":[149]},"counts_by_year":[{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
