{"id":"https://openalex.org/W1499853531","doi":"https://doi.org/10.1109/icsmc.2005.1571597","title":"Fast Image Segmentation via Double-layer Infiltration","display_name":"Fast Image Segmentation via Double-layer Infiltration","publication_year":2006,"publication_date":"2006-01-18","ids":{"openalex":"https://openalex.org/W1499853531","doi":"https://doi.org/10.1109/icsmc.2005.1571597","mag":"1499853531"},"language":"en","primary_location":{"id":"doi:10.1109/icsmc.2005.1571597","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2005.1571597","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2005 IEEE International Conference on Systems, Man and Cybernetics","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/A5111562396","display_name":"C.P. Chong","orcid":"https://orcid.org/0009-0006-0017-7393"},"institutions":[{"id":"https://openalex.org/I153512688","display_name":"National Taiwan Ocean University","ror":"https://ror.org/03bvvnt49","country_code":"TW","type":"education","lineage":["https://openalex.org/I153512688"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Chen-Yuan Chong","raw_affiliation_strings":["Electrical Engineering Department, National Taiwan Ocean University, Keelung, Taiwan","Electr. Eng. Dept., Nat. Taiwan Ocean Univ., Keelung, Taiwan"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department, National Taiwan Ocean University, Keelung, Taiwan","institution_ids":["https://openalex.org/I153512688"]},{"raw_affiliation_string":"Electr. Eng. Dept., Nat. Taiwan Ocean Univ., Keelung, Taiwan","institution_ids":["https://openalex.org/I153512688"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057104905","display_name":"Fu-Chiang Chang","orcid":null},"institutions":[{"id":"https://openalex.org/I153512688","display_name":"National Taiwan Ocean University","ror":"https://ror.org/03bvvnt49","country_code":"TW","type":"education","lineage":["https://openalex.org/I153512688"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Fu-Chiang Chang","raw_affiliation_strings":["Electrical Engineering Department, National Taiwan Ocean University, Keelung, Taiwan","Electr. Eng. Dept., Nat. Taiwan Ocean Univ., Keelung, Taiwan"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department, National Taiwan Ocean University, Keelung, Taiwan","institution_ids":["https://openalex.org/I153512688"]},{"raw_affiliation_string":"Electr. Eng. Dept., Nat. Taiwan Ocean Univ., Keelung, Taiwan","institution_ids":["https://openalex.org/I153512688"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087247015","display_name":"Jung-Hua Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I153512688","display_name":"National Taiwan Ocean University","ror":"https://ror.org/03bvvnt49","country_code":"TW","type":"education","lineage":["https://openalex.org/I153512688"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jung-Hua Wang","raw_affiliation_strings":["Electrical Engineering Department, National Taiwan Ocean University, Keelung, Taiwan","Electr. Eng. Dept., Nat. Taiwan Ocean Univ., Keelung, Taiwan"],"affiliations":[{"raw_affiliation_string":"Electrical Engineering Department, National Taiwan Ocean University, Keelung, Taiwan","institution_ids":["https://openalex.org/I153512688"]},{"raw_affiliation_string":"Electr. Eng. Dept., Nat. Taiwan Ocean Univ., Keelung, Taiwan","institution_ids":["https://openalex.org/I153512688"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5111562396"],"corresponding_institution_ids":["https://openalex.org/I153512688"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.04309547,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"3","issue":null,"first_page":"2944","last_page":"2949"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9979000091552734,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9973000288009644,"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/segmentation","display_name":"Segmentation","score":0.6973863244056702},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6767246723175049},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6626679301261902},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.5506711006164551},{"id":"https://openalex.org/keywords/statistic","display_name":"Statistic","score":0.5376405119895935},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5247604846954346},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5054275989532471},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.49078401923179626},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47260764241218567},{"id":"https://openalex.org/keywords/infiltration","display_name":"Infiltration (HVAC)","score":0.4524978995323181},{"id":"https://openalex.org/keywords/region-growing","display_name":"Region growing","score":0.4316885471343994},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43114978075027466},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.42767658829689026},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2074126899242401},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.06591671705245972},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.06467518210411072}],"concepts":[{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6973863244056702},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6767246723175049},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6626679301261902},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.5506711006164551},{"id":"https://openalex.org/C89128539","wikidata":"https://www.wikidata.org/wiki/Q1949963","display_name":"Statistic","level":2,"score":0.5376405119895935},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5247604846954346},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5054275989532471},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.49078401923179626},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47260764241218567},{"id":"https://openalex.org/C153400128","wikidata":"https://www.wikidata.org/wiki/Q3150731","display_name":"Infiltration (HVAC)","level":2,"score":0.4524978995323181},{"id":"https://openalex.org/C206824153","wikidata":"https://www.wikidata.org/wiki/Q1169834","display_name":"Region growing","level":5,"score":0.4316885471343994},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43114978075027466},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.42767658829689026},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2074126899242401},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.06591671705245972},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.06467518210411072},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsmc.2005.1571597","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsmc.2005.1571597","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2005 IEEE International Conference on Systems, Man and Cybernetics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321040","display_name":"National Science Council","ror":"https://ror.org/02kv4zf79"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W1974684941","https://openalex.org/W2013238038","https://openalex.org/W2117399786","https://openalex.org/W2124260943","https://openalex.org/W2129872026","https://openalex.org/W2145023731"],"related_works":["https://openalex.org/W2394279717","https://openalex.org/W2364730859","https://openalex.org/W3144569342","https://openalex.org/W2386644571","https://openalex.org/W4313052709","https://openalex.org/W2551987074","https://openalex.org/W4281943322","https://openalex.org/W2368273968","https://openalex.org/W2185902295","https://openalex.org/W2383720950"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"a":[3,43,96],"novel":[4],"method":[5,19,50,86],"called":[6],"double-layer":[7],"infiltration":[8],"(DLI)":[9],"is":[10,51,100,103],"presented":[11],"to":[12,81,121],"perform":[13],"fast":[14,52],"region-based":[15],"image":[16],"segmentation.":[17],"The":[18,47,85],"mainly":[20],"comprises":[21],"two":[22],"successive":[23],"processes,":[24],"namely":[25],"updating":[26],"the":[27,35,72,78,82,109,123,126],"feature":[28],"of":[29,55,92,112,125],"each":[30],"region":[31],"followed":[32],"by":[33,68],"merging":[34],"immediate":[36,73],"regions":[37,57,65,79,94],"as":[38,53,64],"their":[39],"updated":[40,59],"features":[41,54],"satisfy":[42],"local":[44],"statistic":[45],"criterion.":[46],"proposed":[48],"segmentation":[49],"all":[56],"are":[58,66,119],"simultaneously":[60],"and":[61,105],"accurately":[62],"effective":[63],"merged":[67],"considering":[69],"not":[70,107],"only":[71],"adjacent":[74,83],"layer":[75],"but":[76],"also":[77],"next":[80],"layer.":[84],"starts":[87],"with":[88],"an":[89],"initial":[90],"set":[91],"seed":[93],"until":[95],"well-defined":[97],"terminal":[98],"condition":[99],"satisfied.":[101],"DLI":[102],"self-terminated":[104],"needs":[106],"pre-specify":[108],"final":[110],"number":[111],"regions.":[113],"Experimental":[114],"results":[115],"on":[116],"real":[117],"images":[118],"provided":[120],"verify":[122],"effectiveness":[124],"method.":[127]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}