{"id":"https://openalex.org/W2124108716","doi":"https://doi.org/10.1109/icip.2004.1418744","title":"Texture segmentation using directional empirical mode decomposition","display_name":"Texture segmentation using directional empirical mode decomposition","publication_year":2005,"publication_date":"2005-04-19","ids":{"openalex":"https://openalex.org/W2124108716","doi":"https://doi.org/10.1109/icip.2004.1418744","mag":"2124108716"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2004.1418744","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2004.1418744","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 International Conference on Image Processing, 2004. ICIP '04.","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/A5073727533","display_name":"Zhongxuan Liu","orcid":"https://orcid.org/0000-0003-1782-0040"},"institutions":[{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongxuan Liu","raw_affiliation_strings":["Institute of Automation, Chinese Academy and Sciences, Beijing, China","Inst. of Autom., Acad. Sinica, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy and Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210094879"]},{"raw_affiliation_string":"Inst. of Autom., Acad. Sinica, Beijing, China","institution_ids":["https://openalex.org/I4210094879"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059604262","display_name":"H.L. Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongiian Wang","raw_affiliation_strings":["Institute of Automation, Chinese Academy and Sciences, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy and Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210094879"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043440896","display_name":"Silong Peng","orcid":"https://orcid.org/0000-0002-3594-5843"},"institutions":[{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Silong Peng","raw_affiliation_strings":["Institute of Automation, Chinese Academy and Sciences, Beijing, China","Inst. of Autom., Acad. Sinica, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy and Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210094879"]},{"raw_affiliation_string":"Inst. of Autom., Acad. Sinica, Beijing, China","institution_ids":["https://openalex.org/I4210094879"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210094879"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":52,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"279","last_page":"282"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.978600025177002,"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":0.9452999830245972,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hilbert\u2013huang-transform","display_name":"Hilbert\u2013Huang transform","score":0.956389307975769},{"id":"https://openalex.org/keywords/envelope","display_name":"Envelope (radar)","score":0.7861993312835693},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.6239959597587585},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6197603344917297},{"id":"https://openalex.org/keywords/mode","display_name":"Mode (computer interface)","score":0.5827565789222717},{"id":"https://openalex.org/keywords/instantaneous-phase","display_name":"Instantaneous phase","score":0.5450868606567383},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.5408532619476318},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5041345357894897},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48854145407676697},{"id":"https://openalex.org/keywords/hilbert-transform","display_name":"Hilbert transform","score":0.46670839190483093},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4636453688144684},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.42677390575408936},{"id":"https://openalex.org/keywords/time\u2013frequency-analysis","display_name":"Time\u2013frequency analysis","score":0.414066344499588},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.41307133436203003},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.41111642122268677},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.35058140754699707},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.34851545095443726},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.27015048265457153},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.12242007255554199},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1100206971168518},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.07500630617141724}],"concepts":[{"id":"https://openalex.org/C25570617","wikidata":"https://www.wikidata.org/wiki/Q1006462","display_name":"Hilbert\u2013Huang transform","level":3,"score":0.956389307975769},{"id":"https://openalex.org/C65155139","wikidata":"https://www.wikidata.org/wiki/Q5380912","display_name":"Envelope (radar)","level":3,"score":0.7861993312835693},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.6239959597587585},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6197603344917297},{"id":"https://openalex.org/C48677424","wikidata":"https://www.wikidata.org/wiki/Q6888088","display_name":"Mode (computer interface)","level":2,"score":0.5827565789222717},{"id":"https://openalex.org/C137798554","wikidata":"https://www.wikidata.org/wiki/Q6038852","display_name":"Instantaneous phase","level":3,"score":0.5450868606567383},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.5408532619476318},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5041345357894897},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48854145407676697},{"id":"https://openalex.org/C28799612","wikidata":"https://www.wikidata.org/wiki/Q685437","display_name":"Hilbert transform","level":3,"score":0.46670839190483093},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4636453688144684},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.42677390575408936},{"id":"https://openalex.org/C142433447","wikidata":"https://www.wikidata.org/wiki/Q7806653","display_name":"Time\u2013frequency analysis","level":3,"score":0.414066344499588},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.41307133436203003},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.41111642122268677},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.35058140754699707},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.34851545095443726},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.27015048265457153},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.12242007255554199},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1100206971168518},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.07500630617141724},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icip.2004.1418744","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2004.1418744","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 International Conference on Image Processing, 2004. ICIP '04.","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.89.8176","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.89.8176","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.ia.ac.cn/personal/zhongxuan.liu/doc/icip.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2007221293","https://openalex.org/W2031586513","https://openalex.org/W2077414392","https://openalex.org/W2077896037","https://openalex.org/W2097854005","https://openalex.org/W2098347925","https://openalex.org/W2098395403","https://openalex.org/W2108077184","https://openalex.org/W2134275275","https://openalex.org/W2135788072","https://openalex.org/W2148357453","https://openalex.org/W2149134319","https://openalex.org/W2169824132","https://openalex.org/W2733049177"],"related_works":["https://openalex.org/W1963866720","https://openalex.org/W4242644833","https://openalex.org/W2118564157","https://openalex.org/W2384389642","https://openalex.org/W2002496381","https://openalex.org/W2356737465","https://openalex.org/W116012085","https://openalex.org/W2107880197","https://openalex.org/W2150546814","https://openalex.org/W2368562860"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"the":[3,30,34,51,56,74,78,100,103],"technique":[4,83],"of":[5,33,46,66,84,102],"directional":[6,57],"empirical":[7],"mode":[8,20,39],"decomposition":[9,21],"(DEMD)":[10],"and":[11,27,59,80],"its":[12],"application":[13],"to":[14,50,72],"texture":[15,106],"segmentation":[16],"are":[17],"presented.":[18,96],"Empirical":[19],"(EMD)":[22],"decomposes":[23],"signals":[24],"by":[25],"sifting":[26],"then":[28],"analyzes":[29],"instantaneous":[31],"frequency":[32,58,79],"obtained":[35],"components":[36],"called":[37],"intrinsic":[38],"functions":[40,76],"(IMF).":[41],"As":[42],"a":[43],"new":[44],"form":[45],"extending":[47],"1D":[48],"EMD":[49],"2D":[52,67],"case,":[53],"DEMD":[54,88],"considers":[55],"envelope":[60],"at":[61],"each":[62],"point.":[63],"One":[64],"type":[65],"Hilbert":[68],"transform":[69],"is":[70,94],"introduced":[71],"compute":[73],"analytical":[75],"for":[77,87,105],"envelope.":[81],"The":[82],"selecting":[85],"directions":[86],"based":[89],"on":[90],"texture's":[91],"Wold":[92],"theory":[93],"also":[95],"Experimental":[97],"results":[98],"indicate":[99],"effectiveness":[101],"method":[104],"segmentation.":[107]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":7}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}