{"id":"https://openalex.org/W2103715866","doi":"https://doi.org/10.1109/icip.2009.5413359","title":"An active contours method based on intensity and reduced Gabor features for texture segmentation","display_name":"An active contours method based on intensity and reduced Gabor features for texture segmentation","publication_year":2009,"publication_date":"2009-11-01","ids":{"openalex":"https://openalex.org/W2103715866","doi":"https://doi.org/10.1109/icip.2009.5413359","mag":"2103715866"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2009.5413359","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2009.5413359","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 16th 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/A5006986293","display_name":"Huchuan Lu","orcid":"https://orcid.org/0000-0002-6668-9758"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huchuan Lu","raw_affiliation_strings":["Department of Electronic Engineering Dalian, Dalian University of Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering Dalian, Dalian University of Technology, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100781734","display_name":"Yunyun Liu","orcid":"https://orcid.org/0000-0002-5553-1672"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunyun Liu","raw_affiliation_strings":["Department of Electronic Engineering Dalian, Dalian University of Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering Dalian, Dalian University of Technology, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100882736","display_name":"Zhipeng Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhipeng Sun","raw_affiliation_strings":["Department of Electronic Engineering Dalian, Dalian University of Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering Dalian, Dalian University of Technology, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044216245","display_name":"Yen\u2010Wei Chen","orcid":"https://orcid.org/0000-0002-5952-0188"},"institutions":[{"id":"https://openalex.org/I135768898","display_name":"Ritsumeikan University","ror":"https://ror.org/0197nmd03","country_code":"JP","type":"education","lineage":["https://openalex.org/I135768898","https://openalex.org/I4390039241"]},{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN","JP"],"is_corresponding":false,"raw_author_name":"Yenwei Chen","raw_affiliation_strings":["College of Information Science and Engineering, Ritsumeikan University, Japan","Department of Electronic Engineering Dalian, Dalian University of Technology, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Ritsumeikan University, Japan","institution_ids":["https://openalex.org/I135768898"]},{"raw_affiliation_string":"Department of Electronic Engineering Dalian, Dalian University of Technology, China","institution_ids":["https://openalex.org/I27357992"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1369","last_page":"1372"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9991000294685364,"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":0.9991000294685364,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9976999759674072,"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":0.9933000206947327,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.8102549314498901},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.6886851787567139},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.685748279094696},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6799875497817993},{"id":"https://openalex.org/keywords/image-texture","display_name":"Image texture","score":0.6565963625907898},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6420507431030273},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.6208362579345703},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.5994574427604675},{"id":"https://openalex.org/keywords/gabor-wavelet","display_name":"Gabor wavelet","score":0.5692157745361328},{"id":"https://openalex.org/keywords/gabor-transform","display_name":"Gabor transform","score":0.5261994004249573},{"id":"https://openalex.org/keywords/gabor-filter","display_name":"Gabor filter","score":0.4989337921142578},{"id":"https://openalex.org/keywords/active-contour-model","display_name":"Active contour model","score":0.4874691963195801},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.48371273279190063},{"id":"https://openalex.org/keywords/scale-space-segmentation","display_name":"Scale-space segmentation","score":0.4816390573978424},{"id":"https://openalex.org/keywords/texture-filtering","display_name":"Texture filtering","score":0.4130595326423645},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.39215338230133057},{"id":"https://openalex.org/keywords/time\u2013frequency-analysis","display_name":"Time\u2013frequency analysis","score":0.14456099271774292},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.08252221345901489}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8102549314498901},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.6886851787567139},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.685748279094696},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6799875497817993},{"id":"https://openalex.org/C63099799","wikidata":"https://www.wikidata.org/wiki/Q17147001","display_name":"Image texture","level":4,"score":0.6565963625907898},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6420507431030273},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.6208362579345703},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.5994574427604675},{"id":"https://openalex.org/C136902061","wikidata":"https://www.wikidata.org/wiki/Q16981559","display_name":"Gabor wavelet","level":5,"score":0.5692157745361328},{"id":"https://openalex.org/C173149727","wikidata":"https://www.wikidata.org/wiki/Q996397","display_name":"Gabor transform","level":4,"score":0.5261994004249573},{"id":"https://openalex.org/C2779883129","wikidata":"https://www.wikidata.org/wiki/Q2447890","display_name":"Gabor filter","level":3,"score":0.4989337921142578},{"id":"https://openalex.org/C112353826","wikidata":"https://www.wikidata.org/wiki/Q127313","display_name":"Active contour model","level":4,"score":0.4874691963195801},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.48371273279190063},{"id":"https://openalex.org/C65885262","wikidata":"https://www.wikidata.org/wiki/Q7429708","display_name":"Scale-space segmentation","level":4,"score":0.4816390573978424},{"id":"https://openalex.org/C144743038","wikidata":"https://www.wikidata.org/wiki/Q3267765","display_name":"Texture filtering","level":5,"score":0.4130595326423645},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.39215338230133057},{"id":"https://openalex.org/C142433447","wikidata":"https://www.wikidata.org/wiki/Q7806653","display_name":"Time\u2013frequency analysis","level":3,"score":0.14456099271774292},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.08252221345901489},{"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/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.0},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2009.5413359","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2009.5413359","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2009 16th IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Partnerships for the goals","score":0.5099999904632568,"id":"https://metadata.un.org/sdg/17"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W20975526","https://openalex.org/W1523554224","https://openalex.org/W1558431342","https://openalex.org/W1895043247","https://openalex.org/W1981560592","https://openalex.org/W1991113069","https://openalex.org/W2026356722","https://openalex.org/W2108077184","https://openalex.org/W2122108494","https://openalex.org/W2136127238","https://openalex.org/W2138451337","https://openalex.org/W6600845648"],"related_works":["https://openalex.org/W2070838085","https://openalex.org/W2495360253","https://openalex.org/W3156532881","https://openalex.org/W2382852560","https://openalex.org/W2355879620","https://openalex.org/W1830749786","https://openalex.org/W2066448268","https://openalex.org/W2373012758","https://openalex.org/W2103325943","https://openalex.org/W2170654949"],"abstract_inverted_index":{"In":[0,21,37],"this":[1,38,75],"paper,":[2],"we":[3],"propose":[4],"a":[5,44],"cooperative":[6],"strategy":[7],"for":[8,35,130],"segmentation":[9,110],"of":[10,46,74,80,105,119],"texture":[11,55,135],"images":[12],"which":[13,88],"integrates":[14],"reduced":[15,85],"Gabor":[16,40,86],"features":[17,34,87],"and":[18,49,58,83,113,133],"image":[19,81,98],"components.":[20],"contrast":[22],"with":[23,124],"the":[24,59,78,84,103,106,109,117,125],"structure":[25],"tensor":[26],"method,":[27,107],"our":[28,120],"algorithm":[29,121],"can":[30],"extract":[31,54],"more":[32],"important":[33],"segmentation.":[36],"work,":[39],"filters":[41],"tuned":[42],"to":[43,53,68,96],"set":[45],"orientations,":[47],"scales":[48],"frequencies":[50],"are":[51,89],"used":[52],"local":[56],"features,":[57],"vector-valued":[60],"active":[61],"contour":[62],"without":[63],"edges":[64],"model":[65],"is":[66,77,111],"employed":[67],"segment":[69],"images.":[70,136],"The":[71],"main":[72],"contribution":[73],"work":[76],"cooperation":[79,101],"components":[82,93],"extracted":[90],"by":[91,122,128],"principal":[92],"analysis":[94],"(PCA)":[95],"represent":[97],"features.":[99],"This":[100],"improves":[102],"quality":[104],"since":[108],"faster":[112],"better.":[114],"We":[115],"demonstrate":[116],"effectiveness":[118],"comparing":[123],"method":[126],"proposed":[127],"Wang":[129],"segmenting":[131],"synthetic":[132],"nature":[134]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}