{"id":"https://openalex.org/W2760310524","doi":"https://doi.org/10.1109/iscbi.2017.8053537","title":"GLCM and its application in pattern recognition","display_name":"GLCM and its application in pattern recognition","publication_year":2017,"publication_date":"2017-08-01","ids":{"openalex":"https://openalex.org/W2760310524","doi":"https://doi.org/10.1109/iscbi.2017.8053537","mag":"2760310524"},"language":"en","primary_location":{"id":"doi:10.1109/iscbi.2017.8053537","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscbi.2017.8053537","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 5th International Symposium on Computational and Business Intelligence (ISCBI)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5009455186","display_name":"Shruti Singh","orcid":"https://orcid.org/0000-0002-9751-8513"},"institutions":[{"id":"https://openalex.org/I152869788","display_name":"Motilal Nehru National Institute of Technology","ror":"https://ror.org/04dp7tp96","country_code":"IN","type":"education","lineage":["https://openalex.org/I152869788"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Shruti Singh","raw_affiliation_strings":["Computer Science and Engineering, MNNIT Allahabad, Allahabad, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering, MNNIT Allahabad, Allahabad, India","institution_ids":["https://openalex.org/I152869788"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112335704","display_name":"Divya Srivastava","orcid":null},"institutions":[{"id":"https://openalex.org/I152869788","display_name":"Motilal Nehru National Institute of Technology","ror":"https://ror.org/04dp7tp96","country_code":"IN","type":"education","lineage":["https://openalex.org/I152869788"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Divya Srivastava","raw_affiliation_strings":["Computer Science and Engineering, MNNIT Allahabad, Allahabad, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering, MNNIT Allahabad, Allahabad, India","institution_ids":["https://openalex.org/I152869788"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102079330","display_name":"Suneeta Agarwal","orcid":null},"institutions":[{"id":"https://openalex.org/I152869788","display_name":"Motilal Nehru National Institute of Technology","ror":"https://ror.org/04dp7tp96","country_code":"IN","type":"education","lineage":["https://openalex.org/I152869788"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Suneeta Agarwal","raw_affiliation_strings":["Computer Science and Engineering, MNNIT Allahabad, Allahabad, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering, MNNIT Allahabad, Allahabad, India","institution_ids":["https://openalex.org/I152869788"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I152869788"],"apc_list":null,"apc_paid":null,"fwci":0.6368,"has_fulltext":false,"cited_by_count":83,"citation_normalized_percentile":{"value":0.82172975,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"20","last_page":"25"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.994700014591217,"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":0.994700014591217,"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":0.9715999960899353,"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9277999997138977,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/grey-level","display_name":"Grey level","score":0.8831149339675903},{"id":"https://openalex.org/keywords/diagonal","display_name":"Diagonal","score":0.7526293992996216},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.62065190076828},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5780385732650757},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.5354134440422058},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.49408581852912903},{"id":"https://openalex.org/keywords/co-occurrence-matrix","display_name":"Co-occurrence matrix","score":0.4925573468208313},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.41215279698371887},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3899920582771301},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.3374099135398865},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.32006436586380005},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.23914557695388794},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.20397093892097473},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.18653416633605957}],"concepts":[{"id":"https://openalex.org/C2994222927","wikidata":"https://www.wikidata.org/wiki/Q685727","display_name":"Grey level","level":3,"score":0.8831149339675903},{"id":"https://openalex.org/C130367717","wikidata":"https://www.wikidata.org/wiki/Q189791","display_name":"Diagonal","level":2,"score":0.7526293992996216},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.62065190076828},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5780385732650757},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.5354134440422058},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.49408581852912903},{"id":"https://openalex.org/C117479156","wikidata":"https://www.wikidata.org/wiki/Q1543908","display_name":"Co-occurrence matrix","level":5,"score":0.4925573468208313},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41215279698371887},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3899920582771301},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.3374099135398865},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.32006436586380005},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.23914557695388794},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.20397093892097473},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.18653416633605957}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscbi.2017.8053537","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscbi.2017.8053537","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 5th International Symposium on Computational and Business Intelligence (ISCBI)","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":10,"referenced_works":["https://openalex.org/W1539557979","https://openalex.org/W1564419782","https://openalex.org/W2044465660","https://openalex.org/W2047643928","https://openalex.org/W2111023733","https://openalex.org/W2274981653","https://openalex.org/W4285719527","https://openalex.org/W4405140809","https://openalex.org/W6632309868","https://openalex.org/W6694455290"],"related_works":["https://openalex.org/W1564660026","https://openalex.org/W4377107871","https://openalex.org/W2002821148","https://openalex.org/W2944501892","https://openalex.org/W392739533","https://openalex.org/W1505833044","https://openalex.org/W2995684868","https://openalex.org/W2364364801","https://openalex.org/W1974700346","https://openalex.org/W2119358129"],"abstract_inverted_index":{"Grey":[0,15],"Level":[1,16],"Co-Occurrence":[2,17],"matrix":[3,18],"is":[4,113],"one":[5],"of":[6,32,82,111],"the":[7],"oldest":[8],"techniques":[9],"used":[10,37],"for":[11,38,90,115],"texture":[12],"analysis.":[13],"The":[14],"has":[19,77],"two":[20],"important":[21],"parameters":[22],"i.e.":[23],"distance":[24,33],"and":[25,34,72,88,102],"direction.":[26],"In":[27],"this":[28,58],"paper":[29,59],"various":[30],"combinations":[31],"directional":[35],"angles":[36],"GLCM":[39],"calculation":[40],"are":[41,60],"analyzed":[42],"in":[43,57],"order":[44],"to":[45],"recognize":[46],"certain":[47],"patterned":[48],"images":[49],"based":[50],"on":[51],"their":[52],"textural":[53],"features.":[54],"Patterns":[55],"considered":[56],"horizontally":[61,91],"striped,":[62,64,67,70,92,94,97,100],"vertically":[63,93],"right":[65,95],"diagonally":[66,69,96,99],"left":[68,98],"checkered":[71,101],"irregular.":[73],"Our":[74],"proposed":[75],"method":[76],"achieved":[78,114],"a":[79],"percentage":[80,109],"accuracy":[81,110],"96,":[83,85],"98,":[84],"90,":[86],"96":[87],"94":[89],"irregular":[103],"patterns":[104],"respectively.":[105],"Thus":[106],"an":[107],"overall":[108],"95":[112],"pattern":[116],"recognition":[117],"using":[118],"GLCM.":[119]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":16},{"year":2023,"cited_by_count":20},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
