{"id":"https://openalex.org/W2150799534","doi":"https://doi.org/10.1109/nnsp.2002.1030048","title":"Neural network-based segmentation of textures using Gabor features","display_name":"Neural network-based segmentation of textures using Gabor features","publication_year":2003,"publication_date":"2003-06-25","ids":{"openalex":"https://openalex.org/W2150799534","doi":"https://doi.org/10.1109/nnsp.2002.1030048","mag":"2150799534"},"language":"en","primary_location":{"id":"doi:10.1109/nnsp.2002.1030048","is_oa":false,"landing_page_url":"https://doi.org/10.1109/nnsp.2002.1030048","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing","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/A5069802599","display_name":"A. G. Ramakrishnan","orcid":"https://orcid.org/0000-0002-3646-1955"},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"A.G. Ramakrishnan","raw_affiliation_strings":["Department of Electrical Engineering, Indian Institute of Science, Bangalore, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Science, Bangalore, India","institution_ids":["https://openalex.org/I59270414"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111362100","display_name":"S. Kumar Raja","orcid":null},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"S. Kumar Raja","raw_affiliation_strings":["Department of Electrical Engineering, Indian Institute of Science, Bangalore, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Science, Bangalore, India","institution_ids":["https://openalex.org/I59270414"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048528520","display_name":"H.V. Raghu Ram","orcid":null},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"H.V. Raghu Ram","raw_affiliation_strings":["Department of Electrical Engineering, Indian Institute of Science, Bangalore, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Science, Bangalore, India","institution_ids":["https://openalex.org/I59270414"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I59270414"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.25942336,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"365","last_page":"374"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9894000291824341,"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":0.9894000291824341,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9781000018119812,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9779999852180481,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7822244763374329},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7663240432739258},{"id":"https://openalex.org/keywords/gabor-filter","display_name":"Gabor filter","score":0.6760632991790771},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6760435104370117},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6198744773864746},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6102144122123718},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5602893233299255},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.5087621808052063},{"id":"https://openalex.org/keywords/gabor-wavelet","display_name":"Gabor wavelet","score":0.4869714677333832},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4851875901222229},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.4797581434249878},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4562976360321045},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4516420364379883},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.450165331363678},{"id":"https://openalex.org/keywords/discrete-cosine-transform","display_name":"Discrete cosine transform","score":0.44165512919425964},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.42746323347091675},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.22921913862228394},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.12092912197113037}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7822244763374329},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7663240432739258},{"id":"https://openalex.org/C2779883129","wikidata":"https://www.wikidata.org/wiki/Q2447890","display_name":"Gabor filter","level":3,"score":0.6760632991790771},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6760435104370117},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6198744773864746},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6102144122123718},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5602893233299255},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.5087621808052063},{"id":"https://openalex.org/C136902061","wikidata":"https://www.wikidata.org/wiki/Q16981559","display_name":"Gabor wavelet","level":5,"score":0.4869714677333832},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4851875901222229},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.4797581434249878},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4562976360321045},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4516420364379883},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.450165331363678},{"id":"https://openalex.org/C2221639","wikidata":"https://www.wikidata.org/wiki/Q2877","display_name":"Discrete cosine transform","level":3,"score":0.44165512919425964},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.42746323347091675},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.22921913862228394},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.12092912197113037},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.0},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/nnsp.2002.1030048","is_oa":false,"landing_page_url":"https://doi.org/10.1109/nnsp.2002.1030048","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.iisc.ac.in:5152","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4377196309","display_name":"NOT FOUND REPOSITORY (Indian Institute of Science Bangalore)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I59270414","host_organization_name":"Indian Institute of Science Bangalore","host_organization_lineage":["https://openalex.org/I59270414"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2049694710","https://openalex.org/W2056798987","https://openalex.org/W2121129971","https://openalex.org/W2124776405","https://openalex.org/W2126440645","https://openalex.org/W2144485884","https://openalex.org/W2147752924","https://openalex.org/W2168913552","https://openalex.org/W2171181782"],"related_works":["https://openalex.org/W2070838085","https://openalex.org/W2374740620","https://openalex.org/W1811332408","https://openalex.org/W1560071024","https://openalex.org/W2518455383","https://openalex.org/W2559560477","https://openalex.org/W2009069257","https://openalex.org/W37053142","https://openalex.org/W2146074559","https://openalex.org/W3016960874"],"abstract_inverted_index":{"The":[0,29,62,77],"effectiveness":[1,46],"of":[2,47],"Gabor":[3,27,36,53],"filters":[4],"for":[5,55,66],"texture":[6,17,67],"segmentation":[7],"is":[8,69],"well":[9],"known.":[10],"In":[11],"this":[12],"paper,":[13],"we":[14,43],"propose":[15],"a":[16,22,48,59],"identification":[18,68],"scheme,":[19],"based":[20,50,70],"on":[21,71],"neural":[23,63],"network":[24,64],"(NN)":[25],"using":[26,52],"features.":[28],"features":[30,54],"are":[31],"derived":[32],"from":[33],"both":[34],"the":[35,45,72],"cosine":[37],"and":[38,90],"sine":[39],"filters.":[40],"Through":[41],"experiments,":[42],"demonstrate":[44],"NN":[49],"classifier":[51],"identifying":[56],"textures":[57],"in":[58],"controlled":[60],"environment.":[61],"used":[65],"multilayer":[73],"perceptron":[74],"(MLP)":[75],"architecture.":[76],"classification":[78],"results":[79],"obtained":[80,86],"show":[81],"an":[82],"improvement":[83],"over":[84],"those":[85],"by":[87],"K-means":[88],"clustering":[89],"maximum":[91],"likelihood":[92],"approaches.":[93]},"counts_by_year":[{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}