{"id":"https://openalex.org/W2139533220","doi":"https://doi.org/10.1109/icdsp.2002.1028309","title":"Edge detection and image segmentation based on nonlinear anisotropic diffusion","display_name":"Edge detection and image segmentation based on nonlinear anisotropic diffusion","publication_year":2003,"publication_date":"2003-06-25","ids":{"openalex":"https://openalex.org/W2139533220","doi":"https://doi.org/10.1109/icdsp.2002.1028309","mag":"2139533220"},"language":"en","primary_location":{"id":"doi:10.1109/icdsp.2002.1028309","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdsp.2002.1028309","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2002 14th International Conference on Digital Signal Processing Proceedings. DSP 2002 (Cat. No.02TH8628)","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/A5081373871","display_name":"S.A. Bakalexis","orcid":null},"institutions":[{"id":"https://openalex.org/I147962203","display_name":"Democritus University of Thrace","ror":"https://ror.org/03bfqnx40","country_code":"GR","type":"education","lineage":["https://openalex.org/I147962203"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"S.A. Bakalexis","raw_affiliation_strings":["Department of Electr. and Compo Eng., Democritus University of Thrace, Xanthi, Greece"],"affiliations":[{"raw_affiliation_string":"Department of Electr. and Compo Eng., Democritus University of Thrace, Xanthi, Greece","institution_ids":["https://openalex.org/I147962203"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011949101","display_name":"Yiannis S. Boutalis","orcid":null},"institutions":[{"id":"https://openalex.org/I147962203","display_name":"Democritus University of Thrace","ror":"https://ror.org/03bfqnx40","country_code":"GR","type":"education","lineage":["https://openalex.org/I147962203"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Y.S. Boutalis","raw_affiliation_strings":["Department of Electr. and Comp. Engineering, Democritus University of Thrace, Xanthi, Greece"],"affiliations":[{"raw_affiliation_string":"Department of Electr. and Comp. Engineering, Democritus University of Thrace, Xanthi, Greece","institution_ids":["https://openalex.org/I147962203"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068105234","display_name":"B.G. Mertzios","orcid":null},"institutions":[{"id":"https://openalex.org/I147962203","display_name":"Democritus University of Thrace","ror":"https://ror.org/03bfqnx40","country_code":"GR","type":"education","lineage":["https://openalex.org/I147962203"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"B.G. Mertzios","raw_affiliation_strings":["Department of Electr. and Compo Eng., Democritus University of Thrace, Xanthi, Greece"],"affiliations":[{"raw_affiliation_string":"Department of Electr. and Compo Eng., Democritus University of Thrace, Xanthi, Greece","institution_ids":["https://openalex.org/I147962203"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5081373871"],"corresponding_institution_ids":["https://openalex.org/I147962203"],"apc_list":null,"apc_paid":null,"fwci":1.0676,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.79498153,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"2","issue":null,"first_page":"1203","last_page":"1206"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation 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/T10052","display_name":"Medical Image Segmentation 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/T10688","display_name":"Image and Signal Denoising Methods","score":0.9927999973297119,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9843000173568726,"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/anisotropic-diffusion","display_name":"Anisotropic diffusion","score":0.8493834733963013},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.7096147537231445},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.707861065864563},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6420214176177979},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6345484256744385},{"id":"https://openalex.org/keywords/edge-detection","display_name":"Edge detection","score":0.5928346514701843},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5451818704605103},{"id":"https://openalex.org/keywords/edge-preserving-smoothing","display_name":"Edge-preserving smoothing","score":0.5328282117843628},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4593101143836975},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4560846984386444},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.45589637756347656},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.4476897418498993},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44466063380241394},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.43200206756591797},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.4319829046726227},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.36678001284599304},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.27853327989578247},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11444419622421265}],"concepts":[{"id":"https://openalex.org/C203504353","wikidata":"https://www.wikidata.org/wiki/Q4765461","display_name":"Anisotropic diffusion","level":3,"score":0.8493834733963013},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.7096147537231445},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.707861065864563},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6420214176177979},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6345484256744385},{"id":"https://openalex.org/C193536780","wikidata":"https://www.wikidata.org/wiki/Q1513153","display_name":"Edge detection","level":4,"score":0.5928346514701843},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5451818704605103},{"id":"https://openalex.org/C141651230","wikidata":"https://www.wikidata.org/wiki/Q5337637","display_name":"Edge-preserving smoothing","level":4,"score":0.5328282117843628},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4593101143836975},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4560846984386444},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.45589637756347656},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.4476897418498993},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44466063380241394},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.43200206756591797},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.4319829046726227},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36678001284599304},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.27853327989578247},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11444419622421265},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icdsp.2002.1028309","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdsp.2002.1028309","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2002 14th International Conference on Digital Signal Processing Proceedings. DSP 2002 (Cat. No.02TH8628)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1480546554","https://openalex.org/W1971707777","https://openalex.org/W1973976434","https://openalex.org/W1990368529","https://openalex.org/W2065164181","https://openalex.org/W2120698365","https://openalex.org/W2145023731","https://openalex.org/W2150134853","https://openalex.org/W6643335738","https://openalex.org/W6981810234"],"related_works":["https://openalex.org/W2149857113","https://openalex.org/W2352810271","https://openalex.org/W2031490378","https://openalex.org/W2355942042","https://openalex.org/W2330997998","https://openalex.org/W2581436517","https://openalex.org/W1520441540","https://openalex.org/W1591640974","https://openalex.org/W2357860405","https://openalex.org/W4294651008"],"abstract_inverted_index":{"Partial":[0],"differential":[1],"equations":[2],"(PDEs)":[3],"have":[4],"led":[5],"to":[6,60],"an":[7],"entire":[8],"new":[9],"field":[10],"in":[11,51,110],"image":[12,21,29,96],"processing":[13],"and":[14,23,38,67,83],"computer":[15],"vision.":[16],"Typical":[17],"PDE":[18],"techniques":[19],"for":[20,94],"smoothing":[22,57],"edge":[24,65,68,84],"extraction":[25],"regard":[26],"the":[27,111],"original":[28],"as":[30],"initial":[31],"state":[32],"of":[33,75],"a":[34,53,89,107],"parabolic":[35],"(diffusion-like)":[36],"process,":[37],"extract":[39],"filtered":[40],"versions":[41],"from":[42],"its":[43],"temporal":[44],"evolution.":[45],"The":[46],"diffusion":[47,78,101],"coefficient":[48],"varies":[49],"spatially":[50],"such":[52],"way":[54],"that":[55],"intra-region":[56],"is":[58],"preferred":[59],"inter-region":[61],"smoothing,":[62],"thus":[63],"preventing":[64],"blurring":[66],"dislocation.":[69],"We":[70,86],"review":[71],"some":[72],"useful":[73],"applications":[74],"this":[76],"particular":[77],"process":[79],"on":[80],"noise":[81],"reduction":[82],"detection.":[85],"also":[87],"propose":[88],"pixel":[90],"based":[91],"clustering":[92],"scheme":[93],"color":[95],"segmentation,":[97],"which":[98],"incorporates":[99],"Perona-Malik":[100],"filtering.":[102],"Preliminary":[103],"experimental":[104],"results":[105],"show":[106],"significant":[108],"improvement":[109],"segmentation":[112],"results.":[113]},"counts_by_year":[{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
