{"id":"https://openalex.org/W2970266282","doi":"https://doi.org/10.1109/icip.2019.8803054","title":"Salient Building Outline Enhancement and Extraction Using Iterative L0 Smoothing and Line Enhancing","display_name":"Salient Building Outline Enhancement and Extraction Using Iterative L0 Smoothing and Line Enhancing","publication_year":2019,"publication_date":"2019-08-26","ids":{"openalex":"https://openalex.org/W2970266282","doi":"https://doi.org/10.1109/icip.2019.8803054","mag":"2970266282"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2019.8803054","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2019.8803054","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Image Processing (ICIP)","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/A5024267838","display_name":"Cho-Ying Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Cho-Ying Wu","raw_affiliation_strings":["University of Southern California, Los Angeles, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Southern California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082235583","display_name":"Ulrich Neumann","orcid":"https://orcid.org/0000-0001-8977-7112"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ulrich Neumann","raw_affiliation_strings":["University of Southern California, Los Angeles, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Southern California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1174212"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1174212"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.08916842,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"944","last_page":"948"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9993000030517578,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9993000030517578,"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/T10531","display_name":"Advanced Vision and Imaging","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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9987000226974487,"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/smoothing","display_name":"Smoothing","score":0.8952063322067261},{"id":"https://openalex.org/keywords/sharpening","display_name":"Sharpening","score":0.79524827003479},{"id":"https://openalex.org/keywords/salient","display_name":"Salient","score":0.6661017537117004},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6370030045509338},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.47223496437072754},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46875762939453125},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.46360695362091064},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3169291317462921},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2140430212020874}],"concepts":[{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.8952063322067261},{"id":"https://openalex.org/C2781137444","wikidata":"https://www.wikidata.org/wiki/Q237105","display_name":"Sharpening","level":2,"score":0.79524827003479},{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.6661017537117004},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6370030045509338},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.47223496437072754},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46875762939453125},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.46360695362091064},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3169291317462921},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2140430212020874},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2019.8803054","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2019.8803054","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.4399999976158142,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1901129140","https://openalex.org/W1929880813","https://openalex.org/W2019924191","https://openalex.org/W2049549093","https://openalex.org/W2061052400","https://openalex.org/W2099244020","https://openalex.org/W2110158442","https://openalex.org/W2142224912","https://openalex.org/W2194775991","https://openalex.org/W2300635092","https://openalex.org/W2560023338","https://openalex.org/W2560622558","https://openalex.org/W2625706041","https://openalex.org/W2737258237","https://openalex.org/W3023411394","https://openalex.org/W3129376454","https://openalex.org/W6639824700","https://openalex.org/W6675077989"],"related_works":["https://openalex.org/W2329932281","https://openalex.org/W64535957","https://openalex.org/W2043790407","https://openalex.org/W2348902545","https://openalex.org/W2321247741","https://openalex.org/W2136313643","https://openalex.org/W2087564795","https://openalex.org/W2011367085","https://openalex.org/W3136545447","https://openalex.org/W2768613569"],"abstract_inverted_index":{"In":[0,51,64],"this":[1,131],"paper,":[2],"our":[3],"goal":[4,93],"is":[5,94],"salient":[6,80],"building":[7,109],"outline":[8],"enhancement":[9],"and":[10,24,48,87,99],"extraction":[11],"from":[12,15,111],"images":[13],"taken":[14],"consumer":[16],"cameras":[17],"using":[18,114],"L0smoothing.":[19,63],"We":[20,39,124],"address":[21],"weak":[22],"outlines":[23,28,81],"over-smoothing":[25],"problem.":[26],"Weak":[27],"are":[29,84],"often":[30],"undetected":[31],"by":[32],"edge":[33],"extractors":[34],"or":[35],"easily":[36],"smoothed":[37],"out.":[38],"propose":[40,106],"an":[41,115,127],"iterative":[42],"method,":[43],"including":[44],"the":[45,52,58,62,65,77,101],"smoothing":[46,53,59],"cell":[47],"sharpening":[49,66],"cell.":[50],"cell,":[54,67],"we":[55,68,105],"iteratively":[56],"enlarge":[57],"level":[60],"of":[61],"use":[69],"Hough":[70],"Transform":[71],"to":[72,95,107],"extract":[73],"lines,":[74],"based":[75],"on":[76,130],"assumption":[78],"that":[79],"for":[82],"buildings":[83],"usually":[85],"straight,":[86],"enhance":[88,96],"those":[89],"extracted":[90],"lines.":[91],"Our":[92],"line":[97],"structures":[98],"do":[100],"L0smoothing":[102],"simultaneously.":[103],"Also,":[104],"create":[108],"masks":[110,119],"semantic":[112],"segmentation":[113],"encoder-decoder":[116],"network.":[117],"The":[118],"filter":[120],"out":[121],"irrelevant":[122],"edges.":[123],"also":[125],"provide":[126],"evaluation":[128],"dataset":[129],"task.":[132]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
