{"id":"https://openalex.org/W2766051123","doi":"https://doi.org/10.1109/ispa.2017.8073575","title":"Efficient texture regularity estimation for second order statistical descriptors","display_name":"Efficient texture regularity estimation for second order statistical descriptors","publication_year":2017,"publication_date":"2017-09-01","ids":{"openalex":"https://openalex.org/W2766051123","doi":"https://doi.org/10.1109/ispa.2017.8073575","mag":"2766051123"},"language":"en","primary_location":{"id":"doi:10.1109/ispa.2017.8073575","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ispa.2017.8073575","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th International Symposium on Image and Signal Processing and Analysis","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/A5023043215","display_name":"Attila Tiba","orcid":"https://orcid.org/0000-0003-3383-0134"},"institutions":[{"id":"https://openalex.org/I132735039","display_name":"University of Debrecen","ror":"https://ror.org/02xf66n48","country_code":"HU","type":"education","lineage":["https://openalex.org/I132735039"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Attila Tiba","raw_affiliation_strings":["Faculty of Informatics, University of Debrecen, Debrecen, Hungary"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Informatics, University of Debrecen, Debrecen, Hungary","institution_ids":["https://openalex.org/I132735039"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024867067","display_name":"Bal\u00e1zs Harangi","orcid":"https://orcid.org/0000-0003-4405-2040"},"institutions":[{"id":"https://openalex.org/I132735039","display_name":"University of Debrecen","ror":"https://ror.org/02xf66n48","country_code":"HU","type":"education","lineage":["https://openalex.org/I132735039"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Balazs Harangi","raw_affiliation_strings":["Faculty of Informatics, University of Debrecen, Debrecen, Hungary"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Informatics, University of Debrecen, Debrecen, Hungary","institution_ids":["https://openalex.org/I132735039"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061104387","display_name":"Andr\u00e1s Hajd\u00fa","orcid":"https://orcid.org/0000-0003-1718-9770"},"institutions":[{"id":"https://openalex.org/I132735039","display_name":"University of Debrecen","ror":"https://ror.org/02xf66n48","country_code":"HU","type":"education","lineage":["https://openalex.org/I132735039"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Andras Hajdu","raw_affiliation_strings":["Faculty of Informatics, University of Debrecen, Debrecen, Hungary"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Informatics, University of Debrecen, Debrecen, Hungary","institution_ids":["https://openalex.org/I132735039"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0924,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.48574628,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"261","issue":null,"first_page":"90","last_page":"94"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9976000189781189,"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":0.9976000189781189,"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":0.9958999752998352,"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":0.9889000058174133,"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/position","display_name":"Position (finance)","score":0.727323055267334},{"id":"https://openalex.org/keywords/co-occurrence-matrix","display_name":"Co-occurrence matrix","score":0.7144685387611389},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.6432662606239319},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6166930794715881},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6048452854156494},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.5760738849639893},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.49866461753845215},{"id":"https://openalex.org/keywords/polynomial","display_name":"Polynomial","score":0.49463507533073425},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4878990352153778},{"id":"https://openalex.org/keywords/time-complexity","display_name":"Time complexity","score":0.45763519406318665},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.35668888688087463},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.3505970537662506},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.34690549969673157},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.1895020306110382}],"concepts":[{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.727323055267334},{"id":"https://openalex.org/C117479156","wikidata":"https://www.wikidata.org/wiki/Q1543908","display_name":"Co-occurrence matrix","level":5,"score":0.7144685387611389},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.6432662606239319},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6166930794715881},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6048452854156494},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.5760738849639893},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.49866461753845215},{"id":"https://openalex.org/C90119067","wikidata":"https://www.wikidata.org/wiki/Q43260","display_name":"Polynomial","level":2,"score":0.49463507533073425},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4878990352153778},{"id":"https://openalex.org/C311688","wikidata":"https://www.wikidata.org/wiki/Q2393193","display_name":"Time complexity","level":2,"score":0.45763519406318665},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.35668888688087463},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.3505970537662506},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.34690549969673157},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.1895020306110382},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/ispa.2017.8073575","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ispa.2017.8073575","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th International Symposium on Image and Signal Processing and Analysis","raw_type":"proceedings-article"},{"id":"pmh:oai:dea.lib.unideb.hu:2437/251544","is_oa":false,"landing_page_url":"http://webpac.lib.unideb.hu:8082/ebib/CorvinaWeb?action=cclfind&resultview=long&ccltext=idno+BIBFORM073509","pdf_url":null,"source":{"id":"https://openalex.org/S4306402089","display_name":"University of Debrecen Electronic Archive (University of Debrecen)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I132735039","host_organization_name":"University of Debrecen","host_organization_lineage":["https://openalex.org/I132735039"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"k\u00f6nyvr\u00e9szlet"},{"id":"pmh:oai:ganymedesd.lib.unideb.hu:2437/251544","is_oa":false,"landing_page_url":"http://hdl.handle.net/2437/251544","pdf_url":null,"source":{"id":"https://openalex.org/S4306402089","display_name":"University of Debrecen Electronic Archive (University of Debrecen)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I132735039","host_organization_name":"University of Debrecen","host_organization_lineage":["https://openalex.org/I132735039"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"k\u00f6nyvr\u00e9szlet"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320338080","display_name":"European Social Fund","ror":"https://ror.org/00k4n6c32"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1526436178","https://openalex.org/W1817561967","https://openalex.org/W1912123407","https://openalex.org/W1982300822","https://openalex.org/W1983451087","https://openalex.org/W2134919037","https://openalex.org/W2141040012","https://openalex.org/W2147460572","https://openalex.org/W2184461742","https://openalex.org/W2185813212","https://openalex.org/W2608248406","https://openalex.org/W2963693005","https://openalex.org/W4231627457","https://openalex.org/W6640114639"],"related_works":["https://openalex.org/W2390142724","https://openalex.org/W2044270176","https://openalex.org/W2002821148","https://openalex.org/W2354234745","https://openalex.org/W2374828682","https://openalex.org/W2212283221","https://openalex.org/W2153116791","https://openalex.org/W2388733570","https://openalex.org/W4230530180","https://openalex.org/W1980033651"],"abstract_inverted_index":{"Co-occurrence":[0],"matrices":[1],"as":[2],"sources":[3],"of":[4,51,72,77],"second":[5],"order":[6],"statistical":[7],"descriptors":[8,58],"are":[9,66],"commonly":[10],"used":[11],"in":[12,31],"texture":[13,53,148],"classification":[14],"tasks.":[15],"To":[16,99],"generate":[17],"such":[18,44,101],"a":[19,23,110,117,124],"matrix,":[20],"we":[21,37,103,115],"need":[22],"position":[24,45,140],"vector":[25],"to":[26,42,68,81,138],"check":[27],"possible":[28],"intensity":[29],"frequencies":[30],"its":[32],"endpoints.":[33],"In":[34],"this":[35],"paper,":[36],"propose":[38],"an":[39,143],"efficient":[40,120,144],"algorithm":[41],"locate":[43],"vectors":[46,84,141],"according":[47],"which":[48,108],"the":[49,52,57,63,70,73,96,105,133],"pattern":[50],"repeats":[54],"and":[55],"thus,":[56],"(Haralick":[59],"features)":[60],"derived":[61],"from":[62],"co-occurrence":[64,145],"matrix":[65,146],"capable":[67,137],"characterize":[69],"regularity":[71],"pattern.":[74],"The":[75],"essence":[76],"our":[78],"approach":[79,135],"is":[80,136],"look":[82],"for":[83,142],"that":[85,132],"span":[86],"well-approximating":[87],"grids":[88,102],"defined":[89],"by":[90,94],"reference":[91],"points":[92],"obtained":[93],"quantizing":[95],"input":[97],"image.":[98],"extract":[100],"use":[104],"LLL":[106],"algorithm,":[107],"has":[109],"polynomial":[111],"running":[112],"time.":[113],"Thus,":[114],"have":[116],"much":[118],"more":[119],"solution":[121],"than":[122],"e.g.":[123],"brute":[125],"force":[126],"based":[127,147],"search.":[128],"Our":[129],"results":[130],"show":[131],"proposed":[134],"suggest":[139],"analysis.":[149]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
