{"id":"https://openalex.org/W2053735831","doi":"https://doi.org/10.1142/s0219467809003356","title":"TEXTURE CHARACTERIZATION USING WSFS AND WCFS","display_name":"TEXTURE CHARACTERIZATION USING WSFS AND WCFS","publication_year":2009,"publication_date":"2009-01-01","ids":{"openalex":"https://openalex.org/W2053735831","doi":"https://doi.org/10.1142/s0219467809003356","mag":"2053735831"},"language":"en","primary_location":{"id":"doi:10.1142/s0219467809003356","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219467809003356","pdf_url":null,"source":{"id":"https://openalex.org/S60080701","display_name":"International Journal of Image and Graphics","issn_l":"0219-4678","issn":["0219-4678","1793-6756"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Image and Graphics","raw_type":"journal-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/A5064314449","display_name":"S. Arivazhagan","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"S. ARIVAZHAGAN","raw_affiliation_strings":["Department of Electronics and Communication Engineering, Mepco Schlenk Engineering College, Sivakasi, Tamil Nadu, 626 005, India"],"affiliations":[{"raw_affiliation_string":"Department of Electronics and Communication Engineering, Mepco Schlenk Engineering College, Sivakasi, Tamil Nadu, 626 005, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110298676","display_name":"L. Ganesan","orcid":"https://orcid.org/0000-0001-6789-3147"},"institutions":[{"id":"https://openalex.org/I131155284","display_name":"Alagappa University","ror":"https://ror.org/04ec9cc06","country_code":"IN","type":"education","lineage":["https://openalex.org/I131155284"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"L. GANESAN","raw_affiliation_strings":["Department of Computer Science and Engineering, Alagappa Chettiar College of Engineering & Technology, Karaikudi, Tamil Nadu, 630 004, India"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Alagappa Chettiar College of Engineering & Technology, Karaikudi, Tamil Nadu, 630 004, India","institution_ids":["https://openalex.org/I131155284"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5064314449"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10536036,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"09","issue":"01","first_page":"77","last_page":"100"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9991999864578247,"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":0.9991999864578247,"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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9937999844551086,"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/T11659","display_name":"Advanced Image Fusion Techniques","score":0.9934999942779541,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.8286990523338318},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7159760594367981},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.7078754305839539},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6650960445404053},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5800463557243347},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5578883290290833},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.5445350408554077},{"id":"https://openalex.org/keywords/characterization","display_name":"Characterization (materials science)","score":0.5304210782051086},{"id":"https://openalex.org/keywords/gabor-wavelet","display_name":"Gabor wavelet","score":0.5201500058174133},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.5178549885749817},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.440387487411499},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.0775572657585144}],"concepts":[{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.8286990523338318},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7159760594367981},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.7078754305839539},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6650960445404053},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5800463557243347},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5578883290290833},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.5445350408554077},{"id":"https://openalex.org/C2780841128","wikidata":"https://www.wikidata.org/wiki/Q5073781","display_name":"Characterization (materials science)","level":2,"score":0.5304210782051086},{"id":"https://openalex.org/C136902061","wikidata":"https://www.wikidata.org/wiki/Q16981559","display_name":"Gabor wavelet","level":5,"score":0.5201500058174133},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.5178549885749817},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.440387487411499},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0775572657585144},{"id":"https://openalex.org/C171250308","wikidata":"https://www.wikidata.org/wiki/Q11468","display_name":"Nanotechnology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0219467809003356","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0219467809003356","pdf_url":null,"source":{"id":"https://openalex.org/S60080701","display_name":"International Journal of Image and Graphics","issn_l":"0219-4678","issn":["0219-4678","1793-6756"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Image and Graphics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.47999998927116394}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1978238148","https://openalex.org/W1980149518","https://openalex.org/W1993456370","https://openalex.org/W1994514915","https://openalex.org/W1999334096","https://openalex.org/W2013252827","https://openalex.org/W2018628714","https://openalex.org/W2031586513","https://openalex.org/W2041090685","https://openalex.org/W2044465660","https://openalex.org/W2049694710","https://openalex.org/W2054824951","https://openalex.org/W2061857616","https://openalex.org/W2096127742","https://openalex.org/W2100860054","https://openalex.org/W2107167693","https://openalex.org/W2107693148","https://openalex.org/W2115457941","https://openalex.org/W2115718371","https://openalex.org/W2117070909","https://openalex.org/W2124925264","https://openalex.org/W2125148312","https://openalex.org/W2126440645","https://openalex.org/W2127006916","https://openalex.org/W2132967849","https://openalex.org/W2132984323","https://openalex.org/W2135715315","https://openalex.org/W2138100172","https://openalex.org/W2141198077","https://openalex.org/W2147752924","https://openalex.org/W2148593155","https://openalex.org/W2152690055","https://openalex.org/W2164290945","https://openalex.org/W2168977926","https://openalex.org/W2171181782","https://openalex.org/W2971268466","https://openalex.org/W4212991200","https://openalex.org/W4362597616"],"related_works":["https://openalex.org/W1710806717","https://openalex.org/W2394322125","https://openalex.org/W2355521768","https://openalex.org/W2055938957","https://openalex.org/W4210684035","https://openalex.org/W2902714807","https://openalex.org/W2803685646","https://openalex.org/W2137044549","https://openalex.org/W183670115","https://openalex.org/W1643168517"],"abstract_inverted_index":{"Texture":[0],"analysis":[1,30,51],"plays":[2],"an":[3],"important":[4],"role":[5],"in":[6,20,31,49,95],"many":[7],"tasks,":[8],"ranging":[9],"from":[10,77],"remote":[11],"sensing":[12],"to":[13,40,59],"medical":[14],"imaging":[15],"and":[16,55],"query":[17],"by":[18],"content":[19],"large":[21],"image":[22],"data":[23],"bases.":[24],"The":[25,47],"main":[26],"difficulty":[27],"of":[28,37,44,89],"texture":[29,67],"the":[32,35,66],"past":[33],"was":[34],"lack":[36],"adequate":[38],"tools":[39],"characterize":[41],"different":[42],"scales":[43],"textures":[45],"effectively.":[46],"development":[48],"multi-resolution":[50],"such":[52],"as":[53],"Gabor":[54],"wavelet":[56,92],"transform":[57],"help":[58],"overcome":[60],"this":[61],"difficulty.":[62],"This":[63],"paper":[64],"describes":[65],"characterization":[68],"system":[69],"using":[70],"(i)":[71],"Wavelet":[72,80,85],"Statistical":[73],"Features":[74,87],"(WSF)":[75],"obtained":[76],"3-level":[78],"Discrete":[79],"Transformed":[81],"(DWT)":[82],"images,":[83],"(ii)":[84],"Co-occurrence":[86],"(WCF)":[88],"one":[90],"level":[91],"transformed":[93],"images":[94],"detail.":[96]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}