{"id":"https://openalex.org/W2109191961","doi":"https://doi.org/10.1109/icdsp.2009.5201226","title":"Combining Gaussian Markov random fields with the discrete-wavelet transform for endoscopic image classification","display_name":"Combining Gaussian Markov random fields with the discrete-wavelet transform for endoscopic image classification","publication_year":2009,"publication_date":"2009-07-01","ids":{"openalex":"https://openalex.org/W2109191961","doi":"https://doi.org/10.1109/icdsp.2009.5201226","mag":"2109191961"},"language":"en","primary_location":{"id":"doi:10.1109/icdsp.2009.5201226","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdsp.2009.5201226","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 16th International Conference on Digital 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/A5022175835","display_name":"Michael H\u00e4fner","orcid":"https://orcid.org/0000-0002-2765-6689"},"institutions":[{"id":"https://openalex.org/I76134821","display_name":"Medical University of Vienna","ror":"https://ror.org/05n3x4p02","country_code":"AT","type":"education","lineage":["https://openalex.org/I76134821"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"M. Hafner","raw_affiliation_strings":["Department of Gastroenterology and Hepatology, Medical University of Vienna, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Gastroenterology and Hepatology, Medical University of Vienna, Austria","institution_ids":["https://openalex.org/I76134821"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074942131","display_name":"Alfred Gangl","orcid":null},"institutions":[{"id":"https://openalex.org/I76134821","display_name":"Medical University of Vienna","ror":"https://ror.org/05n3x4p02","country_code":"AT","type":"education","lineage":["https://openalex.org/I76134821"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"A. Gangl","raw_affiliation_strings":["Department of Gastroenterology and Hepatology, Medical University of Vienna, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Gastroenterology and Hepatology, Medical University of Vienna, Austria","institution_ids":["https://openalex.org/I76134821"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057782198","display_name":"Michael Liedlgruber","orcid":"https://orcid.org/0000-0001-8035-6426"},"institutions":[{"id":"https://openalex.org/I182212641","display_name":"University of Salzburg","ror":"https://ror.org/05gs8cd61","country_code":"AT","type":"education","lineage":["https://openalex.org/I182212641"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"M. Liedlgruber","raw_affiliation_strings":["Department of Computer Sciences, Salzburg University, Austria","[Department of Computer Sciences, Salzburg University, Austria]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Sciences, Salzburg University, Austria","institution_ids":["https://openalex.org/I182212641"]},{"raw_affiliation_string":"[Department of Computer Sciences, Salzburg University, Austria]","institution_ids":["https://openalex.org/I182212641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062946437","display_name":"Andreas Uhl","orcid":"https://orcid.org/0000-0002-5921-8755"},"institutions":[{"id":"https://openalex.org/I182212641","display_name":"University of Salzburg","ror":"https://ror.org/05gs8cd61","country_code":"AT","type":"education","lineage":["https://openalex.org/I182212641"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"A. Uhl","raw_affiliation_strings":["Department of Computer Sciences, Salzburg University, Austria","[Department of Computer Sciences, Salzburg University, Austria]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Sciences, Salzburg University, Austria","institution_ids":["https://openalex.org/I182212641"]},{"raw_affiliation_string":"[Department of Computer Sciences, Salzburg University, Austria]","institution_ids":["https://openalex.org/I182212641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003786310","display_name":"Andreas V\u00e9csei","orcid":"https://orcid.org/0000-0001-6017-4625"},"institutions":[{"id":"https://openalex.org/I4210123554","display_name":"St Anna Children's Hospital","ror":"https://ror.org/02qb3f692","country_code":"AT","type":"healthcare","lineage":["https://openalex.org/I4210123554"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"A. Vecsei","raw_affiliation_strings":["Saint Anna Children's Hospital, Vienna, Austria","St.-Anna Children\u2019s Hospital, Vienna, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Saint Anna Children's Hospital, Vienna, Austria","institution_ids":["https://openalex.org/I4210123554"]},{"raw_affiliation_string":"St.-Anna Children\u2019s Hospital, Vienna, Austria","institution_ids":["https://openalex.org/I4210123554"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109124777","display_name":"Friedrich Wrba","orcid":null},"institutions":[{"id":"https://openalex.org/I76134821","display_name":"Medical University of Vienna","ror":"https://ror.org/05n3x4p02","country_code":"AT","type":"education","lineage":["https://openalex.org/I76134821"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"F. Wrba","raw_affiliation_strings":["Department of Clinical Pathology, Medical University of Vienna, Austria","Department of Clinical Pathology, Medical University of Vienna, Austria;"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Clinical Pathology, Medical University of Vienna, Austria","institution_ids":["https://openalex.org/I76134821"]},{"raw_affiliation_string":"Department of Clinical Pathology, Medical University of Vienna, Austria;","institution_ids":["https://openalex.org/I76134821"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"6","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9948999881744385,"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":0.9948999881744385,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.9944999814033508,"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":0.9890000224113464,"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/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.797229528427124},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7590871453285217},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.633194088935852},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.5840633511543274},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5787237286567688},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.5690698027610779},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5537334084510803},{"id":"https://openalex.org/keywords/random-field","display_name":"Random field","score":0.5393796563148499},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.49329012632369995},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.4868118464946747},{"id":"https://openalex.org/keywords/markov-random-field","display_name":"Markov random field","score":0.4811447858810425},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4655820429325104},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.44443103671073914},{"id":"https://openalex.org/keywords/wavelet-packet-decomposition","display_name":"Wavelet packet decomposition","score":0.4286876320838928},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3206256031990051},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.2293623983860016},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.15425574779510498},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08434885740280151}],"concepts":[{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.797229528427124},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7590871453285217},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.633194088935852},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.5840633511543274},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5787237286567688},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.5690698027610779},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5537334084510803},{"id":"https://openalex.org/C130402806","wikidata":"https://www.wikidata.org/wiki/Q5361768","display_name":"Random field","level":2,"score":0.5393796563148499},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.49329012632369995},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.4868118464946747},{"id":"https://openalex.org/C2778045648","wikidata":"https://www.wikidata.org/wiki/Q176827","display_name":"Markov random field","level":4,"score":0.4811447858810425},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4655820429325104},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.44443103671073914},{"id":"https://openalex.org/C155777637","wikidata":"https://www.wikidata.org/wiki/Q2736187","display_name":"Wavelet packet decomposition","level":4,"score":0.4286876320838928},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3206256031990051},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.2293623983860016},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.15425574779510498},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08434885740280151},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icdsp.2009.5201226","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdsp.2009.5201226","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 16th International Conference on Digital Signal Processing","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.154.3099","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.154.3099","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://wavelab.at/papers/Haefner09b.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.44999998807907104}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321181","display_name":"Austrian Science Fund","ror":"https://ror.org/013tf3c58"},{"id":"https://openalex.org/F4320322325","display_name":"Oesterreichische Nationalbank","ror":"https://ror.org/00nkcmy90"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1651266332","https://openalex.org/W1770825568","https://openalex.org/W1965832143","https://openalex.org/W1978238148","https://openalex.org/W1999050830","https://openalex.org/W2001412060","https://openalex.org/W2014915963","https://openalex.org/W2020999234","https://openalex.org/W2026791416","https://openalex.org/W2029487207","https://openalex.org/W2029900646","https://openalex.org/W2040297970","https://openalex.org/W2086327306","https://openalex.org/W2100470273","https://openalex.org/W2118940137","https://openalex.org/W2119945597","https://openalex.org/W2125614842","https://openalex.org/W2140874067","https://openalex.org/W2143039327","https://openalex.org/W2165480155","https://openalex.org/W2169327696","https://openalex.org/W2468714721","https://openalex.org/W3023548895","https://openalex.org/W4212940634","https://openalex.org/W6684259307"],"related_works":["https://openalex.org/W2075963752","https://openalex.org/W2088158554","https://openalex.org/W2935275583","https://openalex.org/W2548521477","https://openalex.org/W2942471066","https://openalex.org/W1971566571","https://openalex.org/W2010686280","https://openalex.org/W2170982247","https://openalex.org/W2112061901","https://openalex.org/W2141112789"],"abstract_inverted_index":{"In":[0],"this":[1],"work":[2],"we":[3],"present":[4],"a":[5,57],"method":[6,129],"for":[7,56,89],"automated":[8,124],"classification":[9,18,58,70,116,125],"of":[10,81,101,112],"endoscopic":[11],"images":[12],"according":[13],"to":[14,26,43,77],"the":[15,27,31,47,60,64,69,79,82,90,99,102,105,110,115,127],"pit":[16],"pattern":[17],"scheme.":[19],"Images":[20],"taken":[21],"during":[22],"colonoscopy":[23],"are":[24,41,54,94,97],"transformed":[25],"wavelet":[28,34,49,106],"domain":[29],"using":[30,59,126],"pyramidal":[32],"discrete":[33],"transform.":[35],"Then,":[36],"Gaussian":[37],"Markov":[38,91],"random":[39,92],"fields":[40,93],"used":[42,55,76],"extract":[44],"features":[45,53],"from":[46,85],"resulting":[48],"coefficients.":[50],"Finally,":[51],"these":[52],"k-NN":[61],"classifier":[62],"and":[63],"Bayes":[65],"classifier.":[66],"To":[67],"enhance":[68],"results":[71,120],"feature":[72],"subset":[73],"selection":[74],"is":[75,130],"reduce":[78],"dimensionality":[80],"features.":[83],"Apart":[84],"that,":[86],"directional":[87],"neighborhoods":[88],"introduced.":[95],"These":[96],"exploiting":[98],"orientation":[100],"details":[103],"within":[104],"detail":[107],"subbands":[108],"with":[109],"goal":[111],"further":[113],"improving":[114],"performance.":[117],"The":[118],"experimental":[119],"show":[121],"that":[122],"an":[123],"presented":[128],"feasible.":[131]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}